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Prefatory Note
The attached document represents the most complete and accurate version available
based on original files from the FOMC Secretariat at the Board of Governors of the
Federal Reserve System.
Please note that some material may have been redacted from this document if that
material was received on a confidential basis. Redacted material is indicated by
occasional gaps in the text or by gray boxes around non-text content. All redacted
passages are exempt from disclosure under applicable provisions of the Freedom of
Information Act.

Content last modified 01/14/2022.

Authorized for Public Release

Class II FOMC – Restricted (FR)

Report to the FOMC
on Economic Conditions
and Monetary Policy

Book A
Economic and Financial Conditions:
Current Situation and Outlook
January 20, 2016

Prepared for the Federal Open Market Committee
by the staff of the Board of Governors of the Federal Reserve System

Authorized for Public Release

(This page is intentionally blank.)

Class II FOMC - Internal (FR)

January 20, 2016

Domestic Economic Developments and Outlook
We have made only modest changes to our baseline domestic economic outlook
relative to our December forecast. To be sure, the available indicators of both spending
and production that have become available during the intermeeting period have been
weaker than we had expected, even after looking through some factors that we think will
unwind in the next few months.1 Moreover, financial conditions have tightened notably,
with equity prices down about 10 percent since the previous Tealbook, the dollar about
3 percent stronger, and risk spreads in debt markets wider. That said, the labor report for
December was stronger than we expected, and initial claims for unemployment insurance
have drifted up only slightly from very low levels late last year.
Overall, balancing the labor market data against the other indicators, we assess the
cyclical position of the economy as only slightly weaker than we thought it would be at
the time of the December Tealbook. In our baseline projection, we continue to forecast
that real activity will move a little above its sustainable level during the next few years:
At the end of 2018, we now have real GDP 1¼ percent above potential and the
unemployment rate finishing that year at 4.6 percent, ½ percentage point below our
estimate of its natural rate. Both of these measures are a shade less strong than in the
previous projection.
At the same time, we also see the downside risks to our forecast of real activity as
more pronounced than in December, mainly reflecting the greater uncertainty about
global economic prospects and the financial market turbulence at home and abroad.
Our projection for total PCE inflation is lower over the first half of this year,
mainly as a result of the higher dollar and the lower path for oil prices. However, we
continue to project that total PCE inflation will move up to 2 percent in 2018, as energy
prices bottom out and start to increase moderately, import prices turn back up, and
resource utilization tightens further in an environment of stable long-term inflation
expectations.

1

These transitory factors include a significant slowdown in inventory investment in the fourth
quarter of 2015, unusually warm weather that suppressed household outlays for energy services, and a
change in mortgage regulations that temporarily depressed home sales. These factors are all assumed to
abate or reverse in the first half of 2016.

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Domestic Econ Devel & Outlook

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January 20, 2016

Comparing the Staff Projection with Other Forecasts
The staff’s projection for real GDP growth in 2015 is below the Blue Chip
consensus forecast and the median projection from the Survey of Professional
Forecasters (SPF) (although the latter dates from mid‐November). The staff’s GDP
forecast is close to the others in 2016 but ½ percentage point below the Blue Chip
forecast for 2017. The staff’s forecast for unemployment is close to the others
throughout the medium term. Its inflation projections are generally lower,
particularly in 2016.

Comparison of Tealbook and Outside Forecasts
2015

2016

2017

GDP (Q4/Q4 percent change)
January Tealbook
Blue Chip (01/10/16)
SPF median (11/13/15)

1.7
2.1
2.3

2.4
2.6
2.6

2.0
2.4
n.a.

Unemployment rate (Q4 level)
January Tealbook
Blue Chip (01/10/16)
SPF median (11/13/15)

5.0
5.0
5.0

4.7
4.6
4.7

4.6
4.5
n.a.

Consumer price inflation (Q4/Q4 percent change)
January Tealbook
0.4
Blue Chip (01/10/16)
0.5
SPF median (11/13/15)
0.6

1.0
2.0
2.0

2.3
2.3
2.3

PCE price inflation (Q4/Q4 percent change)
January Tealbook
0.4
SPF median (11/13/15)
0.6

0.7
1.8

1.7
1.9

Core PCE price inflation (Q4/Q4 percent change)
January Tealbook
1.3
SPF median (11/13/15)
1.4

1.3
1.6

1.6
1.8

Note: SPF is the Survey of Professional Forecasters. Blue Chip does not provide results
for PCE price inflation. The Blue Chip consensus forecast includes input from about
50 panelists, and the SPF about 40. Roughly 20 panelists contribute to both surveys.
n.a. Not available.
Source: Blue Chip Economic Indicators; Federal Reserve Bank of Philadelphia.

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Class II FOMC - Internal (FR)

January 20, 2016

Tealbook Forecast Compared with Blue Chip
(Blue Chip survey released January 10, 2016)
Real GDP

Industrial Production
Percent change, annual rate

Blue Chip consensus
Staff forecast

2009
2011
2013
2015
2017
Note: The shaded area represents the area between the
Blue Chip top 10 and bottom 10 averages.

Percent change, annual rate

8

12

6

8

4

4

2

0

0

-4

-2

-8

-4

-12

-6

-16

-8

-20

-10

2009

Unemployment Rate

2011

2013

2015

2017

-24

Consumer Price Index
Percent

Percent change, annual rate

11

8
6

10

4

9

2

8

0
7
-2
6

-4

5

-6

4
2009

2011

2013

2015

2017

-8

3

2009

Treasury Bill Rate

2011

2013

2015

2017

-10

10-Year Treasury Yield
Percent

Percent

4

5.5
5.0

3

4.5
4.0

2

3.5
3.0

1

2.5
2.0

0

1.5
2009

2011

2013

2015

2017

-1

2009

2011

2013

2015

2017

Note: The yield is for on-the-run Treasury securities. Over
the forecast period, the staff’s projected yield is assumed
to be 15 basis points below the off-the-run yield.

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1.0

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Domestic Econ Devel & Outlook

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January 20, 2016

Key Background Factors underlying the Baseline Staff Projection

Federal Funds Rate

Long-Term Interest Rates
Percent

Percent

6

Quarterly average

11

Quarterly average
10
Current Tealbook
Previous Tealbook

5

9

Conforming
mortgage rate
4

8

Triple-B
corporate yield

7
6

3

5
2

4
10-year
Treasury yield

1

3
2

2008

2010

2012

2014

2016

2018

0

2008

Equity Prices

2010

2012

2014

2016

2018

House Prices
Ratio scale, 2007:Q1 = 100

Quarter-end

Dow Jones
U.S. Total Stock Market
Index

Ratio scale, 2007:Q1 = 100

200
185
170
155
140

100
95
90

125
110

CoreLogic
index

85
80

80

75

65

2010

2012

2014

2016

2018

105

Quarterly

95

2008

1

70

50

2008

Crude Oil Prices

2010

2012

2014

2016

2018

65

Broad Real Dollar
Dollars per barrel

2007:Q1 = 100

140

110

Quarterly average

Quarterly average
Imported oil

105

120

100
100
West Texas
Intermediate

95
90

80

85

60

80
40

2008

2010

2012

2014

2016

2018

75

20

2008

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2010

2012

2014

2016

2018

70

Class II FOMC - Internal (FR)

January 20, 2016

KEY BACKGROUND FACTORS
Monetary Policy


As in previous projections, the path for the federal funds rate is governed by
an inertial version of the Taylor (1999) policy rule. In this round, the federal
funds rate generated by the rule averages about 3¼ percent in the fourth
quarter of 2018, about ¼ percentage point lower than in the December
Tealbook, mostly reflecting the downward revision to the projection for the
output gap.



We now assume that the SOMA portfolio will remain at its current size until
the fourth quarter of this year, at which point the portfolio will begin to
contract as proceeds from maturing assets are not reinvested. Compared with
the December Tealbook, the cessation of reinvestment was delayed two
quarters, which we view as more consistent with the FOMC’s statement that
reinvestment would continue until normalization was “well under way.”

Other Interest Rates


Our projection continues to call for the 10-year Treasury yield to rise
significantly, reflecting the movement of the 10-year valuation window
through the period of extremely low short-term interest rates as well as an
increase in the term premium from its current near-zero value toward its
assumed longer-term level of ¾ percentage point. Compared with the
December Tealbook, the 10-year Treasury yield is slightly lower in the
medium term, reflecting both the lower path of short-term rates and the later
assumed date for the cessation of reinvestment of the SOMA portfolio.2



We revised the paths for the 30-year mortgage rate and the 10-year triple-B
corporate bond rate mostly in line with the revision to Treasury yields.
Spreads of rates on triple-B corporate bonds over those on comparablematurity Treasury securities have been rising gradually for the past year, and
we project them to remain elevated for several quarters into the projection
period.

2

The downward revision to the federal funds rate does not persist much past the medium term and
thus has only a modest effect on the 10-year Treasury yield.

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January 20, 2016

Equity Prices and Home Prices


As of the market close on January 19, stock prices had fallen about 10 percent
since the time of the December Tealbook, leading us to revise down our
projection for stock prices throughout the medium term. We judge that a
portion of the recent drop in equity prices reflects a transitory increase in
investor risk aversion and thus assume that only a little more than half of the
decline persists by the end of 2018. We project that, after stock prices drop
substantially in the current quarter, they will appreciate about 3½ percent per
year over the medium term, a shade faster than in the previous Tealbook.



We continue to expect house prices to decelerate further, from an increase of
5 percent last year to an average gain of around 2¾ percent per year over the
medium term. One simple model of housing valuation that we monitor
suggests that housing is currently overvalued by 7 percent, compared with
more than 40 percent a decade ago; a second model suggests housing is about
fairly valued.3

Fiscal Policy


We now anticipate that fiscal policy will be a bit more expansionary than we
had previously assumed, reflecting provisions of the omnibus spending bill
that was enacted in mid-December. The bill contained two tax law changes
that we had not anticipated: a multiyear extension of the bonus depreciation
tax credit for business investment and a delay in introducing several taxes
related to the Affordable Care Act. Overall, we now expect fiscal policy
actions at all levels of government to provide a ½ percentage point boost to
GDP growth this year and a more modest boost to growth in 2017 and 2018.4

3

Both models were described in a pair of recent memos sent to the Committee on January 16,
2016: “Staff Assessment of Housing Overvaluation,” by Steven Laufer, and “Measuring Housing
Overvaluation Using the Zillow Price-to-Rent Ratio,” by Raven Molloy. The first model assesses the
price-to-rent ratio against costs of housing investment (such as interest rates) and a linear trend that may
reflect challenges associated with measuring house prices and rents. The second model takes a similar
approach but relies on different data sources to construct price-to-rent ratios.
4
Specifically, we project fiscal impetus to be 0.6 percentage point in 2016 (up from
0.4 percentage point in the December Tealbook), 0.3 percentage point in 2017, and 0.1 percentage point in
2018. The estimates for 2017 and 2018 are little revised.

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January 20, 2016

Foreign Economic Activity and the Dollar


The broad nominal dollar has appreciated 3 percent, on net, since the time of
the December Tealbook. In the wake of the recent volatility in Chinese
exchange rates and financial markets, the dollar strengthened against almost
all currencies except the Japanese yen. We expect the nominal dollar to rise a
touch further in the first half of this year—lifted by widening monetary policy
divergences between the United States and advanced foreign economies and
some further depreciation of the Chinese renminbi and other emerging Asian
currencies—and then to be little changed over the medium term. By the end
of 2018, our projection for the broad real dollar is about 4 percent higher than
in the previous Tealbook.



We estimate that foreign real GDP grew at an annual rate of 2 percent in the
fourth quarter, slower than the 2½ percent pace of the third quarter but still up
from a very subdued 1½ percent pace in the first half of 2015. Our estimate
for the fourth quarter has been revised down ¼ percentage point relative to the
December Tealbook, largely on account of weaker-than-expected data for
Canada. Although we are attuned to the heightened risks emanating from
China and global commodity markets, we continue to see growth abroad
rising to about 3 percent by the end of 2016, albeit with a somewhat weaker
start to the year that mainly reflects the expected near-term effect of lower oil
prices on activity in Canada and other commodity exporters. We project
foreign economic growth to remain near 3 percent through 2018, supported by
accommodative monetary policies and depreciated currencies.

Oil Prices and Other Commodity Prices


Oil prices have tumbled since the December Tealbook, with the spot price of
Brent oil down another $12 per barrel, closing at $29 per barrel on
January 19. Further-dated futures have moved down even more sharply, with
the December 2018 futures quote falling $14, to $43 per barrel. Both demand
and supply factors have weighed on oil prices. On the demand side, worries
include the outlook for economic growth in China and its implications for the
global economy. On the supply side, U.S. oil production remains near its
recent peak, resulting in high and growing oil inventories; in addition, the
lifting of export sanctions against Iran has firmed expectations of increased
Iranian oil exports. Our forecast for the price of imported oil in the current

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January 20, 2016

Federal Reserve System Nowcasts of 2015:Q4 Real GDP Growth
(Percent change at annual rate from previous quarter)

Federal Reserve entity
Federal Reserve Bank
New York

Type of model





Cleveland




Nowcast
as of
Jan. 19,
2016

Factor-augmented autoregressive model combination
Factor-augmented autoregressive model combination,
financial factors only
Dynamic factor model

1.7
1.8

Bayesian regressions with stochastic volatility
Tracking model

1.8
-0.8

1.4

Atlanta



Tracking model combined with Bayesian vector
autoregressions (VARs), dynamic factor models, and
factor-augmented autoregressions (known as
GDPNow)

0.6

Chicago



Dynamic factor models
Bayesian VARs

2.1
0.9



Dynamic factor models
News index model
Let-the-data-decide regressions

1.5
2.4
1.9

Minneapolis



Bayesian VARs

2.3

Kansas City



Accounting-based tracking estimate

-0.2



Board staff’s forecast (judgmental tracking model)1
Dynamic factor models

0.4
1.1



St. Louis




Board of Governors



Memo: Median of
Federal Reserve
System nowcasts

1.5

1. The January Tealbook forecast, finalized on January 20, is also 0.4 percent.

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quarter has been revised down by almost $8 per barrel to $30, with prices
expected to only slowly move up to $38 per barrel by the end of the forecast
period.


After increasing late last year, metals prices have declined significantly since
then, likely reflecting, in part, increased concerns about global growth and the
state of the Chinese economy. In contrast, the prices of agricultural goods are
basically unchanged on net relative to the December Tealbook.

THE OUTLOOK FOR REAL GDP
The incoming data on spending and production in the fourth quarter were
substantially weaker than we had expected, leading us to mark down our estimate of real
GDP growth last quarter to a paltry ½ percent at an annual rate—1¼ percentage points
less than in the December Tealbook and a marked deceleration from the 2 percent
increase in the third quarter.5 While downward revisions were widespread across
spending categories, the largest contributions to the revision were from inventory
investment and consumer spending. We expect a bounceback in some spending
categories from what we judge to be transitory softness, but we also took some signal for
the underlying pace of activity from weaker readings in other categories. In all, we
project real GDP will increase at an annual rate of about 2 percent in the current quarter,
unrevised from the December Tealbook.


The recent data suggest that consumer spending slowed by considerably more
last quarter than we had projected, apparently advancing at an annual rate of
just 1¾ percent. Part of the weakness reflected unusually warm weather,
which we think held down spending for energy services in both November
and December. However, the first official estimate of December retail sales
was surprisingly low, motor vehicle sales fell more than we had anticipated
(though to a still-strong level), and spending on services outside energy was a
bit softer in November than we expected, suggesting that other factors were
also at work. For the current quarter, we project PCE growth to step up to a
3 percent pace. Spending this quarter is boosted, in part, by a rebound in

5

As displayed in the table “Federal Reserve System Nowcasts of 2015:Q4 Real GDP Growth,” the
median of the projections generated by the near-term forecasting approaches used within the System, at
1.5 percent, is 1 percentage point higher than the staff’s judgmental projection. For reference, the standard
error from the Board staff’s dynamic factor model is nearly 1½ percentage points.

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January 20, 2016

Summary of the Near-Term Outlook
(Percent change at annual rate except as noted)
2015:Q3

2015:Q4

2016:Q1

Measure

Previous
Tealbook

Current
Tealbook

Previous
Tealbook

Current
Tealbook

Previous
Tealbook

Current
Tealbook

Real GDP
Private domestic final purchases
Personal consumption expenditures
Residential investment
Nonres. private fixed investment
Government purchases
Contributions to change in real GDP
Inventory investment1
Net exports1
Unemployment rate
PCE chain price index
Ex. food and energy

2.1
3.3
3.0
8.5
3.3
1.8

2.0
3.2
3.0
8.2
2.6
1.8

1.7
2.8
2.4
5.0
4.6
.5

.4
2.1
1.7
6.1
3.0
-.3

2.1
3.2
3.4
5.7
1.6
3.0

2.1
2.8
3.1
8.8
-.3
3.2

-.8
-.2
5.1
1.3
1.3

-.7
-.3
5.1
1.3
1.4

-.3
-.5
5.0
.0
1.2

-.9
-.4
5.0
.1
1.2

.2
-1.3
4.9
.0
1.4

.2
-1.0
4.9
-.9
1.2

1. Percentage points.
Recent Nonfinancial Developments (1)
Real GDP and GDI

Manufacturing IP ex. Motor Vehicles
and Parts
4-quarter percent change

Gross domestic product
Gross domestic income

3-month percent change, annual rate

8

15

6
Q3

20

Dec.

4

10
5
0

2

-5
0

-10

-2

-15
-20

-4
2003
2005
2007
2009
2011
2013
2015
Source: U.S. Dept. of Commerce, Bureau of Economic
Analysis.

-25

-6

2003
2005
2007
2009
2011
2013
2015
Source: Federal Reserve Board, G.17 Statistical Release,
"Industrial Production and Capacity Utilization."

Sales and Production of Light Motor
Vehicles

-30

Real PCE Goods ex. Motor Vehicles

Millions of units, annual rate

Billions of chained (2009) dollars

22

3600

Dec.

Dec.

3400

18

3200

Sales

14
Dec.

3000
10
2800

Production
6

2003
2005
2007
2009
2011
2013
2015
Source: Ward’s Communications; Chrysler; General Motors;
FRB seasonal adjustments.

2600

2

2400
2003
2005
2007
2009
2011
2013
2015
Note: Figures for October, November, and December 2015 are
staff estimates based on available source data.
Source: U.S. Dept. of Commerce, Bureau of Economic
Analysis.

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Recent Nonfinancial Developments (2)
Single-Family Housing Starts and Permits
Millions of units, annual rate
Adjusted permits
Starts

Home Sales
2.1
1.8

7.5

Millions of units
(annual rate)

Millions of units
(annual rate)

1.5

6.0

1.2

5.5

1.5

Existing homes
(left scale)

6.5

1.2
0.9

5.0
Dec.

0.9
0.6

4.5
4.0

Nov.

New single-family
homes (right scale)

3.5
0.3
2003

2005

2007

2009

2011

2013

2015

0.0

0.6
0.3

3.0
2.5

2003

2005

2007

2009

2011

2013

2015

0.0

Source: For existing, National Association of Realtors;
for new, U.S. Census Bureau.

Note: Adjusted permits equal permit issuance plus total starts
outside of permit-issuing areas.
Source: U.S. Census Bureau.

Nondefense Capital Goods ex. Aircraft
Billions of dollars

1.8

7.0

Nonresidential Construction Put in Place
Billions of chained (2009) dollars

75

450

3-month moving average
70
Orders

Nov.

400
Nov.

65

350

60

Shipments

300
55
250

50

200

45
2003
2005
2007
2009
Source: U.S. Census Bureau.

2011

2013

2015

40

2003
2005
2007
2009
2011
2013
2015
Note: Nominal CPIP deflated by BEA prices through
2015:Q3 and by the staff’s estimated deflator thereafter.
Source: U.S. Census Bureau.

Inventory Ratios

Exports and Non-oil Imports
Months

Billions of dollars

1.9

Nov.

200

1.7
Non-oil imports

180

1.6

Nov.
160

Staff flow-of-goods system

1.5
Nov.

140
1.4

120

1.3

2007

2009

100
Exports

1.2

Census book-value data
2005

240
220

1.8

2003

150

2011

2013

2015

1.1

2003

Note: Flow-of-goods system inventories include manufacturing
and mining industries and are relative to consumption. Census
data cover manufacturing and trade, and inventories are relative
to sales.
Source: U.S. Census Bureau; staff calculations.

2005

80
2007

2009

2011

2013

2015

Source: U.S. Dept. of Commerce, Bureau of Economic
Analysis; U.S. Census Bureau.

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January 20, 2016

outlays on energy services as temperatures are assumed to return to normal,
but the pickup also reflects our expectation that spending growth will return to
levels consistent with household incomes, wealth, and consumer sentiment
(which seems to be holding up reasonably well). Excluding outlays for
energy, the anticipated pickup in PCE growth is more modest, from about
2¼ percent in the fourth quarter to about 2¾ percent in the current quarter; the
latter figure is revised down about ½ percentage point from the December
Tealbook.


Incoming data on housing activity remain consistent with a sector that
continues to recover gradually from its very subdued levels of recent years.
Here, too, a transitory factor—related to recently implemented mortgagelending reporting rules—held down residential investment growth last
quarter.6



Business fixed investment appears to have risen moderately in the fourth
quarter but is likely to decelerate sharply in the current quarter. Business
purchases of motor vehicles are anticipated to fall after a couple of strong
quarters. Moreover, we now expect spending on other equipment to rise only
modestly in the near term, given data on orders and shipments through
November that were somewhat disappointing as well as negative readings
from some of the business surveys. In addition, we expect drilling and mining
investment to continue falling sharply this quarter (nearly 40 percent at an
annual rate), reflecting the further decreases in energy prices. In all, business
fixed investment is projected to be about flat in the first quarter after
increasing at an annual rate of nearly 3 percent over the second half of 2015.



After subtracting an estimated ¾ percentage point from real GDP growth in
the third quarter, inventory investment appears to have deducted nearly
1 percentage point from real GDP growth last quarter, a drag more than
½ percentage point larger than we had projected in December. With limited

6

Residential investment in the fourth quarter, as measured in the NIPA, will be held down by a
sharp fall in the sales of existing homes in November. The drop reportedly reflects delays in mortgage
closings related to new reporting rules for mortgage lenders implemented by the Consumer Financial
Protection Bureau in October as part of the Truth-in-Lending Act/RESPA disclosures. We expect these
delays will be relatively short-lived—indeed, we expect a solid rebound in sales in the coming months—
but the effect of sales closings on brokers’ commissions, all else being equal, lowers residential investment
in the fourth quarter and raises it in the current quarter.

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evidence that inventory ratios remain uncomfortably high except for energy
products, we see this inventory slowdown as behind us, and we project
inventory accumulation to move up a little in the near term, making a small
positive contribution to GDP growth.


We estimate that net exports subtracted almost ½ percentage point from real
GDP growth in the fourth quarter, as exports declined slightly while imports
grew modestly. In the first half of 2016, net exports are expected to reduce
GDP growth by 1 percentage point, as past dollar appreciation pushes exports
down further and boosts import growth.



Industrial production declined in December for the third consecutive month.
The sizable downdraft in oil and gas drilling continues to subtract from
mining activity, and utilities output fell sharply as a result of the unusually
warm temperatures in recent months. Manufacturing output only edged up at
an annual rate of ½ percent in the fourth quarter, reflecting a pullback in
motor vehicle assemblies from the elevated levels seen earlier in the year,
weakness in exports, and adverse upstream effects of the reduction in oil
drilling. With these same forces continuing to weigh on the sector,
manufacturing IP is expected to increase just ½ percent in the current quarter,
a tepid outlook that is consistent with the low readings of the national and
regional manufacturing surveys.

Beyond the near term, real GDP growth is expected to run above our estimate of
its potential, supported by the still-accommodative stance of monetary policy and by
expansionary fiscal policy.


After rising 1¾ percent in 2015, real GDP is projected to increase 2½ percent
this year, with the pickup reflecting a solid gain in PCE and a boost from
federal purchases. Consumption growth in 2016 is projected to be bolstered
by ongoing gains in real disposable personal income that reflect further
improvements in the labor market. In addition, the effects of earlier increases
in the wealth-to-income ratio are anticipated to support spending growth
slightly this year.



Real GDP growth then slows over the rest of the projection period, to
2 percent in 2017 and to 1¾ percent in 2018, as consumer and business

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spending decelerates in response to the tightening of monetary policy and as
fiscal impetus diminishes. This deceleration in real GDP is attenuated by a
waning drag from net exports as the effects of the past appreciation of the
dollar fade.


Our forecast for output growth over the next three years is slightly more
subdued than in the December Tealbook. The weaker equity price path and
the stronger dollar built into this projection are less favorable for growth;
these factors are partly offset by the positive impetus from more expansionary
fiscal policy and the lower path for oil prices. With the downward revision to
GDP growth in the final quarter of last year and growth rates that are revised
down slightly thereafter, the projected level of real GDP at the end of 2018 is
almost ½ percent lower than in our previous forecast.



The adjustments that we made to the baseline forecast in response to the
recent movements in financial and commodity prices, which were triggered in
part by developments in China, only reflect conventional channels such as the
wealth effect operating on consumption spending, higher borrowing costs for
businesses, and the dollar appreciation acting to restrain net exports. We
assumed no additional contribution in the baseline from effects operating
through confidence or financial market disruptions, based on the following
considerations: We see the direct financial linkages between China and the
United States as modest, we assume in the baseline that financial conditions in
China and most other emerging markets will not worsen materially further,
and we view the U.S. financial system as being relatively well positioned to
absorb commodity-related shocks. (For additional detail on how we assessed
the implications of developments in China for the staff baseline forecast, see
the box “Recent Developments in China and Implications for the Outlook” in
the International Economic Developments and Outlook section.)

THE OUTLOOK FOR THE LABOR MARKET AND AGGREGATE SUPPLY
In contrast to the incoming data on spending and production, the December
employment report was stronger than we had projected.


Nonfarm payroll employment is now estimated to have risen nearly 285,000
per month last quarter, about 45,000 more than we expected and 110,000

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faster than the third-quarter pace. In response to this faster pace of
employment gains, we boosted our expectation for first-quarter hiring by
25,000, to 240,000 per month.7


The unemployment rate held steady at 5.0 percent in December, whereas we
had expected it to tick down to 4.9 percent. However, the labor force
participation rate moved back up to 62.6 percent, and the employment-topopulation ratio edged up and was a touch stronger than we had projected.
We expect the unemployment rate to decline to 4.9 percent in January and to
remain there through March.



With its latest increase, the labor force participation rate now appears to have
reversed much of the puzzling drop that occurred last summer. In response,
we raised our projection for the current quarter slightly, putting the
participation rate just 0.1 percentage point below our estimate of its trend.
(See the box “The Scope for Cyclical Recovery in Labor Force Participation”
for more information.)



The staff’s labor market conditions index, or LMCI, an alternative, strictly
mechanical method of filtering the data, rose moderately in December.



In light of the still-strong tenor of the data coming out of the labor market, we
think the very weak reading on GDP growth in the fourth quarter overstates
the deterioration in the cyclical position of the economy. Accordingly, we
lowered our estimates of structural productivity growth and potential output
growth in 2015 by 0.2 percentage point, to 1.0 percent and 1.1 percent,
respectively. After this adjustment, the GDP gap in the current quarter is just
a touch weaker than in our previous projection.

Reflecting the deceleration projected for real GDP, the pace of recovery in the
labor market slows over the medium term. In addition, given the slight downward
revision in projected GDP growth from here forward, we now have the labor market
improving by a little less than in the December Tealbook.

7

We think the warm weather in December may have provided a small boost to the reported
employment gains, most likely in construction.

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The Scope for Cyclical Recovery in Labor Force Participation
Most key measures of labor market conditions—including the unemployment rate and
payroll employment—have improved markedly since the end of the Great Recession. In
contrast, the labor force participation rate at the end of last year was 2 percentage points
below its level at the end of 2009 (figure 1). We estimate that structural factors—including
demographically driven trends and other secular changes in the labor market—have been
pushing the participation rate down during the past six years, even as cyclical forces have
been pushing it up; on net, the structural factors have predominated. In particular, informed
by a cohort‐based model of labor force participation developed by the staff, we currently
estimate that structural factors have pushed down the trend participation rate by about
2½ percentage points since 2009.1 Thus, we estimate that there has been a cyclical
improvement in the participation rate gap—the difference between the actual participation
rate and its trend—of about ½ percentage point since 2009.
In the staff’s assessment, the participation rate was still ¼ percentage point below its trend
at the end of last year, even as the unemployment rate had moved below our estimate of its
natural rate (figure 2). This estimate of the cyclical shortfall in labor force participation is in
line with our cohort‐based model and is also consistent with the still‐elevated number of
individuals who are out of the labor force but report they want a job.
Figure 1. Labor Force Participation Rate and Its Trend
Percent
Labor force participation rate*
Estimated trend**

68
67
66
65
64
63
62

1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014
* Published data adjusted by staff to account for changes in population weights.
** Includes staff estimate of the effect of extended and emergency unemployment benefits.
Source: U.S. Department of Labor, Bureau of Labor Statistics; staff assumptions.

2016

2018

61

Figure 2. Delayed Response of Labor Force Participation to the Cycle
4
3

Percentage points

Percentage points
Negative unemployment rate gap (left axis)*
Labor force participation rate gap (right axis)**

1.00
0.75

2

0.50

1

0.25

0

0.00

-1

-0.25

-2

-0.50

-3

-0.75

-4

1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016 2018
* Difference between the natural rate of unemployment and the actual unemployment rate. The natural rate of
unemployment includes staff estimate of the effect of extended and emergency unemployment benefits.
** Difference between the actual labor force participation rate and its estimated trend. The estimated trend
includes staff estimate of the effect of extended and emergency unemployment benefits.
Source: U.S. Department of Labor, Bureau of Labor Statistics; staff assumptions.

-1.00

1 A variant of this model is described in Stephanie Aaronson, Tomaz Cajner, Bruce Fallick, Felix Galbis‐
Reig, Christopher Smith, and William Wascher (2014), “Labor Force Participation: Recent Developments and
Future Prospects,” Brookings Papers on Economic Activity, Fall, pp. 197–275,
www.brookings.edu/~/media/projects/bpea/fall‐2014/fall2014bpea_aaronson_et_al.pdf.

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The staff anticipates that there is some further scope for cyclical improvement in labor force
participation, and we expect that the participation rate gap will improve almost
½ percentage point during the next three years. The somewhat delayed recovery in the
participation rate is in line with evidence indicating that the cyclical recovery in labor force
participation is typically a late‐cycle phenomenon.2 As shown in figure 2, during the previous
two recoveries the negative participation rate gap persisted well into the recovery. Indeed,
the turning point for the cyclical rebound in labor force participation during the past two
recoveries seems to have roughly coincided with the period when the unemployment rate
approached its natural rate. At its cyclical peak, the participation rate seems to have been
about ½ percentage point above its estimated trend.
Several factors can contribute to a delayed cyclical recovery in labor force participation.
First, labor supply decisions tend to be persistent. For instance, decisions to attend school
or care for children may entail multiyear commitments, and thus it may take time before
individuals react to improved labor market conditions. Second, wage growth typically
strengthens as the labor market recovery progresses, and these higher wages might
persuade individuals on the sidelines of the job market to join the labor force. In fact,
subdued wage growth in recent years may be one reason why the cyclical rebound in
participation has not been stronger so far. Third, employers’ hiring behavior is likely to
change as labor market slack diminishes, leading to increased recruiting efforts and lower
screening standards. Changes in hiring patterns and attitudes can help pull in individuals
who have low qualifications, lack recent work experience, or possess criminal records.
The staff’s assessment of the cyclical shortfall in participation is subject to considerable
uncertainty, especially in real time. On the one hand, the severity of the Great Recession and
the sluggishness of the subsequent recovery may have resulted in more permanent labor
market damage than we currently estimate, and thus the trend in participation could be
lower than currently assumed by the staff. On the other hand, the protracted labor market
weakness since the end of the Great Recession might have also led to unusually large
temporary exits from the labor force, implying that the delayed cyclical rebound in the
participation rate might be longer and larger than in previous cyclical episodes. All told,
while it is difficult to precisely quantify the relevant amount of uncertainty—which is, to a
large extent, related to model specification uncertainty—different models consulted by the
staff yield a range of participation gap estimates at the end of last year from near zero (the
FRB/US model) to negative ¾ percentage point (a variant of the cohort‐based model). A
comprehensive measure of uncertainty would surely be wider.

2 Regression results based on state‐level data suggest that the full response of the participation rate to
changes in labor market conditions materializes only after a period as long as a few years. See Aaronson
and others, “Labor Force Participation,” in note 1; Christopher J. Erceg and Andrew T. Levin (2014), “Labor
Force Participation and Monetary Policy in the Wake of the Great Recession,” Journal of Money, Credit and
Banking, vol. 46 (October), pp. 3–49; and Daniel Aaronson, Luojia Hu, Arian Seifoddini, and Daniel G. Sullivan
(2014), “Declining Labor Force Participation and Its Implications for Unemployment and Employment
Growth,” Federal Reserve Bank of Chicago, Economic Perspectives, vol. 38 (Fourth Quarter), pp. 100–38,
https://www.chicagofed.org/publications/economic‐perspectives/2014/4q‐aaronson‐etal.

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

January 20, 2016

Monthly payroll gains in 2015, at 220,000, were surprisingly strong relative to
GDP growth; concomitantly, productivity gains have been disappointing, and
actual productivity in late 2015 was below our estimate of its structural level.
We expect productivity to move up toward its trend over the forecast period
and job growth to slow to a pace of 175,000 per month by the end of this year
and to 110,000 per month by 2018.



All told, projected monthly job gains are little changed this year and are
revised down about 15,000 in 2017 and 10,000 in 2018.



With output increasing faster than its potential rate over the medium term, the
unemployment rate moves down further, reaching 4.6 percent by 2018,
½ percentage point below our estimate of its natural rate. The cumulative
reduction in the unemployment rate is 0.1 percentage point less than in the
December projection.

THE OUTLOOK FOR INFLATION
Since the December Tealbook, we have received the CPI for November and
December and PCE prices through November.8 We now estimate total PCE prices to
have been about flat last quarter, and we expect them to decline nearly 1 percent at an
annual rate this quarter; the low level of both figures primarily reflects the pass-through
to consumer energy prices of the continued declines in oil prices. We estimate that core
PCE prices rose 1¼ percent in the fourth quarter, and we project a similar rate of increase
this quarter.


The projection for headline PCE price inflation in the current quarter is
1 percentage point lower than in the December Tealbook, largely reflecting
the lower oil price path. In addition, we have revised down our projection for
core PCE price inflation in the first quarter in response to lower import prices
as well as our translation of the December CPI and PPI data.

8

The November CPI was published on December 15, after the December projection closed but in
time for the December FOMC meeting.

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Some of the recent weakness in inflation performance carries forward into the
next few quarters, but otherwise our inflation projection is about unrevised from the
December Tealbook.


The higher projected path for the dollar and lower commodity prices led us to
revise down our forecast for core import prices in 2016 relative to the
December Tealbook. We now expect core import prices to decline at an
annual rate of 3 percent in the first half of 2016, 1¼ percentage points more
negative than in the previous Tealbook. We expect core import prices to edge
up at a ¼ percent pace over the second half, as the effects of the higher dollar
fade and commodity prices stabilize, and then rise at around a 1 percent pace
over the remainder of the forecast period, little changed from the December
projection.



Core PCE price inflation is projected to average 1.3 percent this year, the
same as last year. The greater tightness in resource utilization this year
relative to last contributes 0.1 percentage point to the pickup in core inflation,
but energy price pass-through into core is anticipated to have a roughly
offsetting effect. Starting next year, the transitory restraint from import and
energy prices is expected to begin subsiding, and the tightening of resource
utilization puts a bit more upward pressure on core inflation.



Energy prices are projected to decline at an annual rate of 28 percent over the
first half of this year and then to rise somewhat faster than core prices over the
remainder of the projection period. Meanwhile, after running below core
inflation in 2015 and early 2016, food prices are expected to rise slightly
faster than core prices over the medium term. As a result, total PCE inflation,
at 0.7 percent, runs below core PCE inflation this year but moves a little above
core inflation thereafter and reaches 2 percent in 2018.



Compared with the December Tealbook, core PCE inflation is 0.1 percentage
point lower in both 2016 and 2017; total PCE inflation is 0.5 percentage point
lower in 2016 and 0.1 percentage point lower in 2017. The downward
revisions to inflation mainly reflect the lower import and energy prices in this
projection.

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

January 20, 2016

As shown in “Survey Measures of Longer-Term Inflation Expectations” in the
nonfinancial Data Sheets section, survey-based measures of longer-term
inflation expectations remain near the lower end of their ranges of recent
years. Market-based measures of longer-term inflation compensation have
edged lower since the December Tealbook.

We have received little data on labor compensation during the intermeeting
period.


Average hourly earnings were unchanged in December and rose 2½ percent
over 2015 as a whole, about ½ percentage point more than in 2014. In the
near term, we expect the 12-month change in this measure to be between
2¼ and 2½ percent.



We continue to expect business-sector hourly compensation, which rose an
outsized 3½ percent over the four quarters ending in 2015:Q3, to decelerate
over the next few quarters. By the end of the medium-term projection, gains
in compensation per hour pick back up to around 3¼ percent, little changed
from the previous projection.

THE LONG-TERM OUTLOOK
As described in the box “Changes to the Long-Term Outlook Procedure,” we
have simplified the model used to generate the long-term outlook in this Tealbook. The
changes in procedure had no material effect on the projection of the key variables we
highlight here.


The Federal Reserve’s holdings of securities continue to put downward
pressure on longer-term interest rates, albeit to a diminishing extent over time.
The SOMA portfolio is projected to return to a normal size by the end
of 2021.



The federal funds rate rises further after 2018. With real GDP above its
potential level in the medium term and inflation having essentially reached the
Committee’s 2 percent objective, the federal funds rate moves above its longrun normal value in 2019 and 2020.

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

January 20, 2016

The natural rate of unemployment remains at 5.1 percent, and potential GDP
growth reaches its long-run value of 1.9 percent in 2020.



As monetary policy continues to tighten, real GDP decelerates further and
rises 1½ percent in 2020. The unemployment rate starts to rise toward its
assumed natural rate in 2019.



PCE price inflation is near the Committee’s long-run objective in both 2019
and 2020.

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Changes to the Long‐Term Outlook Procedure
In this Tealbook, the staff has introduced a new model to produce the long‐term
outlook for the U.S. economy—currently, for 2019 and beyond. The following
discussion explains the motivation for changing the model and describes the new
procedure.
Previously, the long‐term outlook was based on a version of the FRB/US model that had
been adapted to more closely mimic some aspects of the staff’s framework for the
medium run, particularly Okun’s law and the Phillips curve. However, with the
hundreds of variables and exogenous factors in the FRB/US model, the task of creating
a long‐horizon forecast was challenging and time consuming.
Given that detailed aspects of the outlook many years ahead are generally not of
interest, it seemed advantageous to develop a simpler model that focuses on a few key
variables and a small set of factors that determine the values of those variables over the
long run. Our new procedure generates a long‐term projection with the same
standards of quality as before but at a much lower cost. The new model is focused on
the variables currently in the “Long‐Term Outlook” exhibit in DEDO: real and potential
GDP, the unemployment rate and its natural rate, overall and core PCE price inflation,
the federal funds rate, the 10‐year Treasury yield, and the triple‐B corporate bond rate.
The model has five main components. First, the model uses an Okun’s law relationship
to link the unemployment rate to the output gap. Second, the model includes a Phillips
curve in which core inflation is determined by the unemployment gap and long‐term
inflation expectations. Third, the model uses a Taylor rule to generate the path of the
federal funds rate; this rule is the same as the one we use in putting together the
medium‐term forecast. Fourth, the model builds a forecast of long‐term interest rates
using the expectations hypothesis of the term structure (assuming model‐consistent
expectations) and a term premium that moves with the business cycle. These four
components are largely unchanged from the previous model we used. The major
change relative to our previous procedure concerns the relationship between
aggregate spending and long‐term real interest rates. Rather than relying on a large
number of spending equations in the FRB/US model, the new procedure links the
output gap directly to long‐term real interest rates using a relationship analogous to a
textbook “forward‐looking IS curve.” A key advantage of the new approach is that the
forces influencing the outlook can be summarized by a handful of easily interpretable
factors rather than the many driving forces embedded in the FRB/US model.
Importantly, we have compared the results from our new procedure with those from
the previous model for the current and several previous Tealbooks. For the key
macroeconomic variables in the long‐term outlook, the results from the two models are
very similar.

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The Long-Term Outlook

(Percent change, Q4 to Q4, except as noted)

Measure

2015

2016

2017

2018

2019

2020

Longer run

Real GDP
Previous Tealbook

1.7
2.1

2.4
2.5

2.0
2.0

1.8
1.9

1.7
1.6

1.6
1.5

1.9
1.9

Civilian unemployment rate1
Previous Tealbook

5.0
5.0

4.7
4.7

4.6
4.6

4.6
4.5

4.6
4.5

4.7
4.7

5.1
5.1

PCE prices, total
Previous Tealbook

.4
.4

.7
1.2

1.7
1.8

2.0
2.0

2.0
2.0

2.1
2.1

2.0
2.0

Core PCE prices
Previous Tealbook

1.3
1.3

1.3
1.4

1.6
1.7

1.9
1.9

2.0
2.0

2.0
2.1

2.0
2.0

Federal funds rate1
Previous Tealbook

.16
.18

1.35
1.44

2.37
2.53

3.21
3.42

3.76
3.94

3.96
4.10

3.25
3.25

10-year Treasury yield1
Previous Tealbook

2.3
2.3

3.3
3.4

3.8
3.9

4.1
4.2

4.3
4.3

4.3
4.3

4.1
4.1

1. Percent, average for the final quarter of the period.

Real GDP

Unemployment Rate
4-quarter percent change

Potential GDP

Real GDP
2004

2007

2010

2013

2016

2019

Percent
5
4
3
2
1
0
−1
−2
−3
−4
−5

2022

10
Unemployment rate

8
Natural rate
with EEB
adjustment

7
6
5

Natural rate

4
2004

PCE Prices

9

2007

2010

2013

2016

2019

2022

Interest Rates
4-quarter percent change

Percent
4

10
9
8
7
6
5
4
3
2
1
0

Total PCE prices
10-year Treasury

3

Triple-B corporate
2
PCE prices
excluding
food and
energy

1
0

Federal
funds rate

−1
2004

2007

2010

2013

2016

2019

2022

2004

2007

2010

2013

2016

2019

2022

Note: In each panel, shading represents the projection period, and dashed lines are the previous Tealbook.
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Projections of Real GDP and Related Components
(Percent change at annual rate from final quarter
of preceding period except as noted)
2016
Measure

2015
H1

Real GDP
Previous Tealbook

2016

2017

2018

H2

1.7
2.1

2.3
2.4

2.6
2.7

2.4
2.5

2.0
2.0

1.8
1.9

1.9
2.1

2.2
2.3

2.3
2.6

2.3
2.5

2.1
2.2

2.2
2.2

Personal consumption expenditures
Previous Tealbook

2.5
2.7

3.2
3.5

3.3
3.6

3.2
3.5

2.9
2.8

2.5
2.3

Residential investment
Previous Tealbook

8.4
8.2

7.9
7.0

8.5
6.3

8.2
6.7

7.2
7.8

5.3
5.4

-3.0
-1.9

-2.0
-1.3

.9
2.5

-.6
.6

3.4
3.3

1.3
1.4

4.5
4.9

3.0
4.0

5.2
5.3

4.1
4.6

2.7
2.7

2.6
2.8

.4
.4

4.6
4.3

.3
.5

2.4
2.4

-.5
-.5

-1.3
-1.2

State and local purchases
Previous Tealbook

1.4
1.7

1.7
1.7

1.4
1.3

1.6
1.5

1.8
1.8

1.8
1.8

Exports
Previous Tealbook

-.4
.0

-.9
-.6

.9
1.7

.0
.5

.9
1.7

3.2
3.8

Imports
Previous Tealbook

3.6
3.9

6.3
7.3

7.3
7.1

6.8
7.2

5.5
4.6

3.7
3.6

Final sales
Previous Tealbook

Nonresidential structures
Previous Tealbook
Equipment and intangibles
Previous Tealbook
Federal purchases
Previous Tealbook

Contributions to change in real GDP
(percentage points)
Inventory change
Previous Tealbook

-.2
.0

.1
.0

.3
.1

.2
.1

-.1
-.2

-.3
-.3

Net exports
Previous Tealbook

-.6
-.6

-1.0
-1.2

-1.0
-.9

-1.0
-1.0

-.7
-.5

-.2
-.1

Real GDP
4-quarter percent change
Current Tealbook
Previous Tealbook

10
8
6
4
2
0
-2
-4

1987

1989

1991

1993

1995

1997

1999

2001

2003

2005

2007

2009

2011

2013

Note: The gray shaded bars indicate a period of business recession as defined by the National Bureau of Economic Research.
Source: U.S. Department of Commerce, Bureau of Economic Analysis.

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2015

2017

2019

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Components of Final Demand

Personal Consumption Expenditures
4-quarter percent change

Residential Investment
4-quarter percent change

5

Current Tealbook
Previous Tealbook

20
15

4

10
3
5
2
0
1

2011

2012

2013

2014

2015

2016

2017

2018

-5

0

2011

Equipment and Intangibles

2012

2013

2014

2015

2016

2013

2014

2015

2016

2017

2018

-10

Nonresidential Structures

4-quarter percent change

2011

2012

2017

2018

4-quarter percent change

14
12

20

10

15

8

10

6

5

4

0

2

-5

0

2011

Government Consumption & Investment
4-quarter percent change

25

2012

2013

2014

2015

2016

2017

2018

-10

Exports and Imports
4-quarter percent change

3

15

2
1

10

0

Exports

-1

5

-2
-3

0
Imports

-4
2011

2012

2013

2014

2015

2016

2017

2018

-5

2011

Source: U.S. Department of Commerce, Bureau of Economic Analysis.

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2012

2013

2014

2015

2016

2017

2018

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Aspects of the Medium-Term Projection
Personal Saving Rate

Wealth-to-Income Ratio
Percent

Current Tealbook
Previous Tealbook

Ratio

10

6.8

9
6.4
8
7

6.0

6
5.6
5
4

5.2

3
4.8
2
1998
2003
2008
2013
2018
Source: U.S. Dept. of Commerce, Bureau of Economic
Analysis.

1

1998
2003
2008
2013
2018
Note: Ratio of household net worth to disposable personal
income.
Source: For net worth, Federal Reserve Board, Financial
Accounts of the United States; for income, U.S. Dept. of
Commerce, Bureau of Economic Analysis.

Single-Family Housing Starts

4.4

Equipment and Intangibles Spending
Millions of units

Share of nominal GDP

2.00

12

1.75
11

1.50
1.25

10

1.00
9

0.75
0.50

8

0.25
1998
2003
2008
Source: U.S. Census Bureau.

2013

2018

0.00

1998
2003
2008
2013
2018
Source: U.S. Dept. of Commerce, Bureau of Economic
Analysis.

Federal Surplus/Deficit

7

Current Account Surplus/Deficit
Share of nominal GDP

Share of nominal GDP

6

1

4-quarter moving average
4

0

2

-1

0

-2

-2
-3
-4
-4

-6

1998
2003
2008
2013
Source: Monthly Treasury Statement.

2018

-8

-5

-10

-6

-12

1998
2003
2008
2013
2018
Source: U.S. Dept. of Commerce, Bureau of Economic
Analysis.

Note: The gray shaded bars indicate a period of business recession as defined by the National Bureau of Economic Research.

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-7

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January 20, 2016

Decomposition of Potential GDP
(Percent change, Q4 to Q4, except as noted)
Measure

1974-95

Potential real GDP
Previous Tealbook
Selected contributions1
Structural labor productivity2
Previous Tealbook
Capital deepening
Multifactor productivity
Structural hours
Previous Tealbook
Labor force participation
Previous Tealbook
Memo:
GDP gap3
Previous Tealbook

19962000

2001-07 2008-10 2011-14

2015

2016

2017

2018

3.1
3.1

3.4
3.4

2.6
2.6

1.7
1.7

1.1
1.1

1.1
1.3

1.5
1.5

1.6
1.6

1.7
1.7

1.6
1.6
.7
.5
1.6
1.6
.4
.4

2.9
2.9
1.5
1.0
1.2
1.2
-.1
-.1

2.8
2.8
1.0
1.5
.8
.8
-.2
-.2

1.5
1.5
.3
1.0
-.1
-.1
-.5
-.5

.8
.8
.6
.1
.6
.6
-.7
-.7

1.0
1.2
.8
.1
.5
.5
-.6
-.6

1.3
1.3
.7
.4
.4
.4
-.5
-.5

1.4
1.4
.7
.5
.4
.4
-.5
-.5

1.5
1.5
.6
.7
.3
.3
-.5
-.5

-1.9
-1.9

2.4
2.4

.8
.8

-4.4
-4.4

-.9
-.9

-.3
-.1

.7
.8

1.1
1.3

1.3
1.5

Note: For multiyear periods, the percent change is the annual average from Q4 of the year preceding the first year shown to Q4 of the last year
shown.
1. Percentage points.
2. Total business sector.
3. Percent difference between actual and potential GDP in the final quarter of the period indicated. A negative number indicates that the economy
is operating below potential.

GDP Gap

Unemployment Rate
Percent

Current Tealbook
Previous Tealbook

Percent

8
Unemployment rate
Previous Tealbook
Natural rate of unemployment

6
4

14
12
10

2
0

8

-2

6

-4
4

-6
1998
2003
2008
2013
2018
Note: The GDP gap is the percent difference between actual
and potential GDP; a negative number indicates that the
economy is operating below potential.
Source: U.S. Department of Commerce, Bureau of Economic
Analysis; staff assumptions.

-8

2
1998
2003
2008
2013
2018
Source: U.S. Department of Labor, Bureau of Labor Statistics;
staff assumptions.

Structural and Actual Labor Productivity

Manufacturing Capacity Utilization Rate
Percent

(Business sector)

90
85

Average rate from
1972 to 2014

Chained (2009) dollars per hour

Actual
Structural

80
75

66
64
62
60
58
56
54
52

70

50
48
46

65
1998
2003
2008
2013
2018
Source: Federal Reserve Board, G.17 Statistical Release,
"Industrial Production and Capacity Utilization."

68

60

2003
2006
2009
2012
2015
2018
Source: U.S. Department of Labor, Bureau of Labor Statistics;
U.S. Department of Commerce, Bureau of Economic Analysis;
staff assumptions.

Note: The gray shaded bars indicate a period of business recession as defined by the National Bureau of Economic Research.

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Class II FOMC - Internal (FR)

January 20, 2016

The Outlook for the Labor Market
2016
Measure

2015
H1

2016

2017

2018

H2

Output per hour, business1
Previous Tealbook

.6
1.4

1.6
1.8

2.1
1.3

1.9
1.6

1.7
1.5

1.4
1.5

Nonfarm payroll employment2
Previous Tealbook

221
210

221
206

181
193

201
200

137
153

108
118

213
202

208
192

165
178

186
185

119
135

90
100

Labor force participation rate3
Previous Tealbook

62.5
62.5

62.5
62.5

62.4
62.4

62.4
62.4

62.3
62.3

62.0
62.0

Civilian unemployment rate3
Previous Tealbook

5.0
5.0

4.8
4.8

4.7
4.7

4.7
4.7

4.6
4.6

4.6
4.5

Private employment2
Previous Tealbook

1. Percent change from final quarter of preceding period at annual rate.
2. Thousands, average monthly changes.
3. Percent, average for the final quarter in the period.
Source: U.S. Department of Labor, Bureau of Labor Statistics; staff assumptions.

Inflation Projections
(Percent change at annual rate from final quarter of preceding period)
2016
Measure

2015

2016

2017

2018

1.5
1.6

.7
1.2

1.7
1.8

2.0
2.0

.6
1.6

1.8
1.8

1.2
1.7

2.0
2.0

2.0
2.0

-16.0
-16.8

-28.4
-13.8

6.7
6.5

-12.6
-4.1

4.4
4.3

3.1
2.8

Excluding food and energy
Previous Tealbook

1.3
1.3

1.3
1.4

1.3
1.4

1.3
1.4

1.6
1.7

1.9
1.9

Prices of core goods imports1
Previous Tealbook

-3.2
-3.2

-2.9
-1.6

.2
.7

-1.4
-.4

1.1
1.2

1.2
1.2

H1

H2

.4
.4

-.1
.8

Food and beverages
Previous Tealbook

.3
.7

Energy
Previous Tealbook

PCE chain-weighted price index
Previous Tealbook

1. Core goods imports exclude computers, semiconductors, oil, and natural gas.
Source: U.S. Department of Commerce, Bureau of Economic Analysis.

29 of 94

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January 20, 2016

Labor Market Developments and Outlook (1)

Measures of Labor Underutilization
Percent
U-5*
Unemployment rate
Part time for
economic reasons**

Percent

13

Unemployment rate
Previous Tealbook
Natural Unemployment Rate with EEB adjustment

12
11

10
9

10
8

9
Dec.

8

7

7
6

6

5
4

5

3
200220032004200520062007200820092010201120122013201420152016

2

2012

2013

2014

2015

2016

2017

2018

4

* U-5 measures total unemployed persons plus all marginally attached to the labor force, as a percent of the labor force plus persons marginally
attached to the labor force.
** Percent of Current Population Survey employment.
EEB Extended and emergency unemployment benefits.
Source: U.S. Department of Labor, Bureau of Labor Statistics.

Level of Payroll Employment*
125

Millions

Millions
Total (right axis)
Private (left axis)

Dec.

120

Millions

145
Total
Previous Tealbook

150
148
146

140

144
142
115

135
140
138

110

130

136
134

105

125
200220032004200520062007200820092010201120122013201420152016
* 3-month moving averages.
Source: U.S. Department of Labor, Bureau of Labor Statistics.

2012

2013

2014

2015

2016

2017

2018

132

Change in Payroll Employment*
Thousands

Thousands

400

Total
Previous Tealbook

200

350
300

Dec.
250

0

Total
Private
200220032004200520062007200820092010201120122013201420152016

-200

200

-400

150

-600

100

-800

50

-1000

2012

2013

2014

2015

2016

2017

* 3-month moving averages.
Source: U.S. Department of Labor, Bureau of Labor Statistics.

Note: The gray shaded bars indicate a period of business recession as defined by the National Bureau of Economic Research.

30 of 94

2018

0

Class II FOMC - Internal (FR)

January 20, 2016

Labor Market Developments and Outlook (2)

Labor Force Participation Rate*
Percent
Labor force participation rate
Estimated trend**

Dec.

200220032004200520062007200820092010201120122013201420152016

Percent

68.0
67.5
67.0
66.5
66.0
65.5
65.0
64.5
64.0
63.5
63.0
62.5
62.0

Labor force participation rate
Previous Tealbook
Estimated trend**

65.0
64.5
64.0
63.5
63.0
62.5
62.0

2012

2013

2014

2015

2016

2017

2018

61.5

* Published data adjusted by staff to account for changes in population weights.
** Includes staff estimate of the effect of extended and emergency unemployment benefits.
Source: U.S. Department of Labor, Bureau of Labor Statistics; staff assumptions.

Initial Unemployment Insurance Claims*
Thousands

Private Hires, Quits, and Job Openings
Percent

700

Hires*
Openings**
Quits*

650
600
550

Nov.

400

2.5

350

2.0

300

1.5

250
2016

4.0

3.0

450

2002 2004 2006 2008 2010 2012 2014
* 4-week moving average.
Source: U.S. Department of Labor, Employment and
Training Administration.

4.5

3.5

500

Jan. 9

5.0

200

200220032004200520062007200820092010201120122013201420152016

1.0

* Percent of private nonfarm payroll employment, 3-month
moving average.
** Percent of private nonfarm payroll employment plus
unfilled jobs, 3-month moving average.
Source: Job Openings and Labor Turnover Survey.

Average Monthly Change in Labor Market Conditions Index
Index points

15
10

Q4

5
0
-5
-10
-15
-20
-25

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

Source: Labor market conditions index estimated by staff.

Note: The gray shaded bars indicate a period of business recession as defined by the National Bureau of Economic Research.

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2015

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January 20, 2016

Inflation Developments and Outlook (1)
(Percent change from year-earlier period)

Headline Consumer Price Inflation
Percent
CPI
PCE

Percent

6
PCE - Current Tealbook
PCE - Previous Tealbook

5

5
4

4
3

3
2

2

Dec. (e)
1

1

0
Dec.
-1

0
-2
-3
-1
2002
200320042005
2006200720082009
201020112012
2013201420152016
2017
2012 2013 2014 2015 2016 2017 2018
Note: PCE prices from October to December 2015 are staff estimates (e).
Source: For CPI, U.S. Department of Labor, Bureau of Labor Statistics; for PCE, U.S. Department of Commerce, Bureau of Economic Analysis.

Measures of Underlying PCE Price Inflation
Percent
Trimmed mean PCE
Market-based PCE excluding food and energy
PCE excluding food and energy

Percent

4.0
Core PCE - Current Tealbook
Core PCE - Previous Tealbook

3.5

3.5
3.0

3.0

2.5

2.5

Dec. (e)

2.0
2.0

Nov.

1.5

1.5
Dec. (e)

1.0

1.0

0.5

0.5
0.0
200320042005
2013201420152016
2017
2012 2013 2014 2015 2016 2017 2018
2002
2006200720082009
201020112012
Note: Core PCE prices from October to December 2015 are staff estimates (e).
Source: For trimmed mean PCE, Federal Reserve Bank of Dallas; otherwise, U.S. Department of Commerce, Bureau of Economic Analysis.

0.0

Labor Cost Growth
Percent

Percent

6

Compensation per hour - Current Tealbook
Compensation per hour - Previous Tealbook

5

Q3
Dec.

6
5

4

4

3

3

2

2

1

1

0

0

Sept.
Employment cost index
Average hourly earnings
Compensation per hour

200320042005
2013201420152016
2017
2002
2006200720082009
201020112012

-1

2012

2013

2014

2015

2016

2017

2018

Note: Compensation per hour is for the business sector. Average hourly earnings are for the private nonfarm sector. The employment cost
index is for the private sector.
Source: U.S. Department of Labor, Bureau of Labor Statistics.
Note: The gray shaded bars indicate a period of business recession as defined by the National Bureau of Economic Research.

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-1

Class II FOMC - Internal (FR)

January 20, 2016

Inflation Developments and Outlook (2)
(Percent change from year-earlier period, except as noted)

Commodity and Oil Price Levels
2200

Dollars per barrel

1967 = 100

Brent crude oil history/futures (right axis)
CRB spot commodity price index (left axis)

1680
1420
1200
1000
800
600
400

Jan. 19

220

1000

168
142
120
100
80

900

1967 = 100

Dollars per barrel

Brent crude oil history/futures (right axis)
CRB spot commodity price index (left axis)

140

800

120

700

100

60

600

80

40

500

60
Jan. 19

400
200

160

40

20
300
20
2002
2004
2006
2008
2010
2012
2014
2016
2013
2014
2015
2016
2003
2005
2007
2009
2011
2013
2015
2017
Note: Futures prices (dotted lines) are the latest observations on monthly futures contracts.
Source: For oil prices, U.S. Department of Energy, Energy Information Agency; for commodity prices, Commodity Research Bureau (CRB).

Energy and Import Price Inflation
18

Percent

Percent
PCE energy prices (right axis)
Core import prices (left axis)

15

60

10

Percent

Percent
PCE energy prices (right axis)
Core import prices (left axis)

25

50

8

40

6

9

30

4

10

6

20

2

5

3

10

0

0

0

0

-2

-5

-10

-4

-20

-6

-30

-8

-40

-10

12

-3

Dec.

-6

Dec. (e)

-9
-12

2003

2005

2007

2009

2011

2013

2015

2017

20
15

-10

Dec.
Dec. (e)
2013

2014

2015

2016

-15
-20
-25

Source: For core import prices, U.S. Dept. of Labor, Bureau of Labor Statistics; for PCE, U.S. Dept. of Commerce, Bureau of Economic Analysis.

Long-Term Inflation Expectations
Percent
5-to-10-year-ahead TIPS
Michigan median next 5 to 10 years
SPF PCE median next 10 years

Percent

4.5
5-to-10-year-ahead TIPS
Michigan median next 5 to 10 years
SPF PCE median next 10 years

4.0

4.0

3.5
Jan. (p)

4.5

3.5

3.0

3.0
Jan. (p)

2.5

2.5

Dec.
Q4

Q4

2.0

2.0

Dec.
1.5
1.5
2003 2005 2007 2009 2011 2013 2015 2017
2013
2014
2015
2016
Note: Based on a comparison of an estimated TIPS (Treasury Inflation-Protected Securities) yield curve with an estimated nominal off-the-run
Treasury yield curve, with an adjustment for the indexation-lag effect.
p Preliminary.
SPF Survey of Professional Forecasters.
Source: For Michigan, University of Michigan Surveys of Consumers; for SPF, Federal Reserve Bank of Philadelphia; for
TIPS, Federal Reserve Board staff calculations.
Note: The gray shaded bars indicate a period of business recession as defined by the National Bureau of Economic Research.

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January 20, 2016

Evolution of the Staff Forecast
Change in Real GDP
Percent, Q4/Q4
4

2015
2016

3

2014
2017

2
2018
1

10/17 12/5

1/23

2012

2013

3/13 4/24

6/12 7/24

9/11 10/23 12/11 1/22

3/12 4/23

6/11 7/23

9/10 10/22 12/10 1/21

2014

3/11 4/22

6/10 7/22

9/9

2015

10/21 12/9 1/20

0

2016

Tealbook publication date

Unemployment Rate
Percent, fourth quarter
8.0
2014

7.5
7.0

2015

6.5
6.0
5.5

2016

5.0

2017

10/17 12/5

1/23

2012

2013

3/13 4/24

6/12 7/24

9/11 10/23 12/11 1/22

3/12 4/23

6/11 7/23

2018

9/10 10/22 12/10 1/21

2014

3/11 4/22

6/10 7/22

4.5
9/9

2015

10/21 12/9 1/20

4.0

2016

Tealbook publication date

Change in PCE Prices excluding Food and Energy
Percent, Q4/Q4
2.5

2015

2018

2017

2016

2.0

1.5

2014

1.0

0.5

10/17 12/5

1/23

2012

2013

3/13 4/24

6/12 7/24

9/11 10/23 12/11 1/22

3/12 4/23

6/11 7/23

9/10 10/22 12/10 1/21

2014

2015

Tealbook publication date

34 of 94

3/11 4/22

6/10 7/22

9/9

10/21 12/9 1/20

2016

0.0

Authorized for Public Release

International Economic Developments and Outlook
The recent increase in financial market volatility, centered on developments in
China and global commodity markets, underscores the headwinds and challenges
weighing on the outlook for global economic growth. In addition to the risks and
uncertainties facing China, these challenges include persistent sluggishness in global
trade and manufacturing and the implications of the continuing decline in commodity

flows in the emerging market economies (EMEs) have slowed, in some cases quite
sharply. And Japan and Europe are struggling to raise inflation from quite low levels, as
policy rates are near zero. These factors contributed to lackluster foreign growth
throughout 2015 and weigh on prospects going forward. Nevertheless, our baseline
outlook for a return of foreign growth to more normal levels over the forecast period,
while marked down a bit in the near term, remains essentially intact. We interpret the
market volatility of recent weeks as primarily reflecting investor concerns about
downside risks to the global economy.
We estimate fourth-quarter foreign real GDP grew at a subdued 2 percent
annualized pace, down from 2½ percent in the third quarter and about ¼ percent below
the forecast in the December Tealbook. The slower growth primarily reflected further
drag from low oil prices in Canada and a deceleration in Mexico’s economy as U.S.
manufacturing growth stepped down. Foreign growth is expected to turn back up, albeit
somewhat more slowly over the first half of 2016 than in our December projection, as the
recent declines in oil and equity prices, along with tighter credit conditions in the EMEs,
weigh on the near-term outlook. As in our previous forecasts, foreign growth reaches
3 percent—near its trend rate—by late 2016 and maintains that pace through 2018.
Growth in the advanced foreign economies (AFEs) is supported by continuing policy
accommodation, past currency depreciation, gradually improving credit market
conditions, and, for Japan and Europe, low oil prices. In the EMEs, the South American
economies gradually pull out of their slumps, and emerging Asia is supported by the
combination of firmer exports to the advanced economies, accommodative policy, and
lower oil prices.

Int’l Econ Devel & Outlook

prices for commodity-producing economies. Moreover, cross-border and domestic credit

Authorized for Public Release

In contrast to the more dire concerns highlighted by the recent turmoil in financial
markets, our baseline expectation is premised on China’s economy decelerating only
moderately and on the renminbi depreciating only somewhat further in the quarters
ahead. Notwithstanding the Chinese authorities’ recent clumsy communications and
sometimes surprising policy actions, we think that the authorities will resist large
currency moves, in part to damp capital outflows, and we do not see the currency as
significantly overvalued. Moreover, the Chinese authorities continue to have at their

Int’l Econ Devel & Outlook

disposal a broad array of policy tools to respond to market strains or shortfalls in growth.
However, given the complex challenges facing China, a more adverse outturn cannot be
ruled out. In particular, as explored in the “China-Driven Emerging Market Economy
Crisis” scenario in the Risks and Uncertainty section, a financial crisis and sharp
weakening of growth in China could produce severe adverse spillovers for other EMEs
and the global economy. And further weakness in overall foreign growth could lead to
the pressures laid out in the scenario “Stronger Dollar and Lower Oil Prices.” Beyond
the standard macroeconomic channels highlighted in this scenario, lower oil prices could
also lead to financial stresses in the oil sector here and abroad and additional drag
on growth.
We estimate that inflation fell to near zero in the AFEs in the fourth quarter, as
retail energy prices declined further. The additional drop in oil prices since the
December Tealbook is expected to hold AFE inflation near zero again in the first quarter.
Thereafter, AFE inflation is projected to rise to close to 1 percent by the middle of the
year, as energy prices stabilize, and then to increase gradually to 1¾ percent by the end of
the forecast period as economic slack diminishes. In the EMEs, inflation fell to an
estimated 1¾ percent in the fourth quarter, reflecting lower retail energy and food prices,
but we see it rising to a 3 percent trend pace by the second half of 2016.
We have revised our monetary policy expectations in light of the weaker inflation
and growth outlooks for the AFEs. We now expect the Bank of Canada (BOC) to lower
its policy rate 25 basis points at its March meeting and the Bank of Japan (BOJ) to
expand its asset purchase program by the middle of the year. We have also pushed back
our forecast for the Bank of England (BOE) to begin raising rates by one quarter, to the

Authorized for Public Release

third quarter of 2016. We have not changed our baseline for the European Central Bank
(ECB), but we see an increased probability of additional stimulus measures. In contrast,
we have raised our forecasts for policy rate increases for several commodity-producing
EMEs experiencing currency weakness and above-target inflation, including Brazil,
Chile, Colombia, and Russia.

EMERGING MARKET ECONOMIES
China. Chinese real GDP growth edged down from 7¼ percent in the third
quarter to 7 percent in the fourth, slightly higher than our December Tealbook
forecast, as a retrenchment in service sector growth offset a modest pickup in
manufacturing activity. Consistent with the solid GDP print, industrial
production, exports, and retail sales have all been relatively strong, although
investment continues to slow. For 2015 as a whole, China’s economy grew
6.9 percent, a hair under the authorities’ target and only a modest deceleration
from 7¼ percent growth in 2014. Notwithstanding a resurgence of volatility
in China’s financial markets during the intermeeting period, we do not see a
precipitous slowing of the economy as the most likely scenario (see the box
“Recent Developments in China and Implications for the Outlook”). Growth
is expected to continue its gradual decline to 6 percent by the end of the
forecast period, in line with our estimate of China’s potential growth rate.
This forecast is little changed from the December Tealbook.
After turning slightly negative in the fourth quarter, inflation in China is
projected to pick up going forward. Although recent declines in oil prices are
expected to hold down inflation over the next few quarters, we see inflation
settling at 2½ percent by the end of this year. We expect the authorities to
support growth primarily through fiscal easing and credit policy, which are
likely to be adjusted in response to the performance of the economy over the
course of the year, and to make one additional cut to the benchmark lending
rate. The authorities are also likely to reduce reserve requirements as

Int’l Econ Devel & Outlook



Authorized for Public Release

Recent Developments in China and Implications for the Outlook

Int’l Econ Devel & Outlook

Since the start of the year, global financial markets have again been roiled by
developments in China. An apparent change in the management of the Chinese
exchange rate on the first trading day of the year led to concerns about the economy and
a sharp decline in Chinese equity markets, triggering newly minted circuit breakers.
Pressure on Chinese markets has continued, leaving the onshore value of the renminbi
(RMB) 1¼ percent weaker against the dollar and equity prices down 16 percent so far this
year. Tenuous stabilization of Chinese markets appears to have been achieved but only
through significant government intervention in equity and foreign exchange markets,
and questions remain about Chinese policy direction and risks to the global economy.
Market developments notwithstanding, recent official data do not point to a significant
slowing in Chinese growth. Although the year started with a weaker-than-expected
reading on the unofficial Caixin PMI for December, other Chinese data—such as industrial
production and exports—have been relatively strong. The stability of these indicators
was confirmed by the subsequent release of fourth-quarter GDP, which printed about in
line with expectations. All told, we have left our forecast for GDP growth in China about
unchanged, with growth slowing from about 7 percent in 2015 to 6½ percent this year
and 6 percent by 2018. Outside analysts also do not appear to have significantly revised
down their baseline outlook for China.
Instead, the global market volatility related to China appears to reflect increasing worries
about downside risks to the Chinese economy and the coherence of Chinese
policymaking. Authorities seem to be struggling to balance the goals of liberalizing
markets and maintaining stability. Nowhere has that tension been more tangible, or the
spillovers to global markets stronger, than in relation to China’s exchange rate policy. In
August, the People’s Bank of China (PBOC) changed the way it sets its fixing rate (the red
dots in figure 1) by tying it more closely to the previous day’s close (the black line), which
signaled that the exchange rate would more closely reflect market conditions. (The
fixing rate serves as the midpoint and thus anchors the plus/minus 2 percent daily trading
band.) In response to a consequent surge in capital outflows and market turmoil,

Authorized for Public Release

The authorities are clearly having trouble reconciling a large number of sometimes
inconsistent objectives: (1) containing appreciation of the effective RMB that would
accompany a further rise in the dollar, (2) preventing a large, disorderly depreciation of
the currency, (3) maintaining reserves amid strengthening capital outflows, and (4) giving
greater sway to market forces. Balancing these goals will be difficult, and attempts to
accommodate downward pressure on the RMB by allowing some modest depreciation
will further incentivize outflows and currency pressures. We project the RMB to
depreciate further through the middle of this year, both against the dollar and the basket
(black and red lines in figure 2), before flattening out for a period as investors come to
realize a hard landing is not imminent. However, much more extreme outcomes are
certainly possible.
Spillovers from the turmoil in China along with falling commodity prices—the latter due
at least in part to concerns over global demand—have weighed on global financial
markets, and advanced and emerging market equity indexes posted sharp declines in
January. Although wealth effects from lower equity prices are small in most foreign
economies, lower oil prices led us to mark down growth in key trading partners, including
Canada and Mexico, leaving a negative imprint on our near-term outlook for tradeweighted foreign GDP.
The outlook for the U.S. economy has also been affected, primarily for the worse. The
drag on some countries from falling commodity prices, the appreciation of the dollar
since the previous Tealbook, and our assumption of further RMB depreciation (with
knock-on effects to the projected path of other EME Asian currencies) have all lowered
our forecast for net exports. In addition, declines in U.S. equities, which have been linked
to concerns over the foreign outlook and increased risk aversion, have a negative wealth
effect that lowers U.S. GDP. These negative effects are somewhat balanced by the
positive effect of the decline in oil prices on domestic consumption, notwithstanding
some additional downward pressure on oil-sector investment. All told, these effects sum
up to a fairly small drag on U.S. growth over the next few years, with the higher dollar
and lower oil prices also pushing down inflation in the first half of 2016. That said, the
prospect of a further sharp depreciation of the RMB and a steep downturn in Chinese
activity could potentially have very large effects on U.S. GDP growth and inflation, a
scenario considered in the Risks and Uncertainty section.

Int’l Econ Devel & Outlook

however, the PBOC intervened to stabilize the RMB, apparently contradicting its earlier
intent. In December, the PBOC began publishing a new multilateral exchange rate index
and indicated that it expected the RMB to be “basically stable” relative to the currency
basket. But the PBOC never clarified whether, and to what degree, it had adopted a
policy of pegging the RMB to that basket, nor did it reconcile that policy with the goal of
giving more weight to market forces. Accordingly, in early January when authorities
fixed the exchange rate both weaker against the dollar and weaker against the basket
than the previous market’s close , as shown in figure 2, investors took this as a signal that
the RMB would be allowed to depreciate more sharply, setting off renewed turmoil in
global markets. In consequence, the authorities once again acted to stabilize the RMB.
We estimate that the PBOC has spent nearly $400 billion defending the currency during
the past year—although, at $3.4 trillion, its reserves remain ample.

Authorized for Public Release

necessary to offset the monetary effects of continuing large-scale foreign
exchange sales, but we do not see such actions as providing net stimulus.


Other Emerging Asia. We estimate fourth-quarter growth edged down to
3½ percent, in line with our December forecast. This slowdown is due partly
to weaker activity in Korea after the third-quarter rebound following the end
of the MERS (Middle-East Respiratory Syndrome) outbreak and partly to
deceleration in India following unusually strong growth in the third quarter.

Int’l Econ Devel & Outlook

Elsewhere in the region, growth has generally held up; high-frequency
indicators such as PMI and retail sales suggest that domestic demand is
picking up, even as exports, especially to China, continue to disappoint.
Overall, we expect growth to step up to 4¼ percent this year, supported
initially by stronger domestic demand and later by more robust growth abroad.
We expect inflation in the region to remain at 2½ percent in the current
quarter as the continued fall in energy prices is offset by higher food prices.
We see inflation moving up gradually to 3¼ percent by 2017.


Latin America. Real GDP growth in Mexico stepped down ¾ percentage
point to an estimated 2¼ percent in the fourth quarter, ¼ percentage point
below our December projection. The deceleration reflects, in part, weaker
external demand, as Mexican manufacturing exports declined. Also,
investment in nonresidential structures plunged further in October, driven by
oil price declines. In contrast, private consumption moved up, aided by rising
employment, accommodative monetary policy, and higher disposable income
as government reforms have pushed down energy and telecommunications
prices. We see growth gradually moving up to 3 percent by 2018. The
outlook for the Mexican economy is a little weaker than in the previous
Tealbook, reflecting the downward revision to expected U.S. manufacturing
production and lower oil prices.
Headline inflation dropped to 2½ percent in the fourth quarter, driven by
another plunge in telecommunications prices. We see inflation moving back

Authorized for Public Release

up to 3¼ percent by the second quarter and then sustaining that rate. The
Bank of Mexico raised its policy rate to 3.25 percent following Fed liftoff, and
we expect the central bank to broadly shadow changes in Federal Reserve
policy rates going forward.
In Brazil, persistent political tensions and the associated uncertainty about the
fiscal outlook, depressed commodity prices, continuing reverberations of the
scandal at Petrobras, and ongoing monetary policy tightening led real GDP to

exports and the PMI improved somewhat late in the fourth quarter, industrial
production and consumer and business confidence fell further. We expect
growth to remain in negative territory this year and to resume expanding at an
anemic pace in 2017, aided by a weaker currency and firming global growth.
Despite the weak economy, the substantial depreciation of the real and hikes
in administered prices kept inflation at a 10¼ percent annual rate in the fourth
quarter. We see inflation declining to 5½ percent by mid-2017, reflecting
continued tight monetary policy and lower pressure from administered prices.
We expect that the continued elevated pace of inflation will prompt the central
bank to resume policy tightening at this week’s meeting. We do not expect
policy to begin easing until late 2016.
In Argentina, the administration of newly elected President Mauricio Macri
moved to begin tackling the country’s serious economic problems and restore
its access to global capital markets. The government laid out a four-year
economic plan to reduce the fiscal deficit and bring inflation down to
5 percent by the end of 2019. The exchange rate system was unified, and the
official exchange rate was allowed to depreciate by 40 percent; export taxes
were repealed; and talks with holders of defaulted debt began in January.
In Venezuela, whose economy has been ravaged by economic
mismanagement and the collapse in oil prices, President Nicolás Maduro has
decreed a 90-day economic emergency, a measure that would grant him broad

Int’l Econ Devel & Outlook

contract at an estimated annual rate of 4½ percent in the fourth quarter. While

Authorized for Public Release

powers to enact new economic measures. The opposition-controlled congress
is poised to reject the decree, however, and political tensions will likely
intensify in coming weeks. Meanwhile, the government released a year’s
worth of macroeconomic data showing that economic activity is extremely
depressed, with GDP declining 7 percent on a four-quarter basis through the
third quarter. And inflation has soared further into three-digit territory,

Int’l Econ Devel & Outlook

exceeding 140 percent on a 12-month basis in September.


Other EMEs. In South Africa, financial markets have come under pressure,
as two finance ministers were dismissed within a week, and concerns mounted
over South Africa’s dependence on commodity exports and its reliance on
portfolio inflows to finance large external deficits. The country also continues
to suffer from low growth and elevated inflation. Since the December
Tealbook, the rand has fallen by about 15 percent and the CDS premium is up
around 85 basis points.

ADVANCED FOREIGN ECONOMIES


Canada. We have slashed our estimate of fourth-quarter growth in Canada to
only ½ percent, from 2 percent in the December Tealbook. Incoming
indicators point to weaker momentum and a larger drag from low oil prices
than we had previously thought: Business investment, manufacturing output,
and construction activity contracted in the fourth quarter, and growth in the
service sector slowed. The weak incoming data and further declines in oil
prices have led us to also lower our projection ¾ percentage point for the first
half of 2016. We do not expect the weakness to be sustained, and we have
growth picking up to just over 2 percent later in 2016 and in 2017, as
investment recovers, exports are supported by past currency depreciation,
monetary policy remains accommodative, and the recently elected
government implements fiscal stimulus.
We estimate that inflation declined from 2¼ percent in the third quarter to
¾ percent in the fourth. As the drag from lower oil prices fades, inflation is

Authorized for Public Release

projected to step up to 1¾ percent in the second half of 2016, reaching the
BOC’s target of 2 percent by mid-2017. In response to the weaker economic
outlook, we now expect the BOC to cut its policy rate by 25 basis points at its
March meeting.


Euro Area. Recent indicators suggest real GDP grew 1¼ percent in the fourth
quarter. Going forward, the boost from the recent fall in oil prices should
more than offset the drag from the recent declines in equity prices. We expect

than in the December Tealbook, supported by ongoing monetary stimulus,
past currency depreciation, low oil prices, and easing credit conditions.
Headline inflation stayed slightly negative in the fourth quarter due to another
plunge in retail energy prices and a moderate decrease in core inflation. As
the drag from energy prices moderates and the output gap narrows, we expect
inflation to step up to 1½ percent by late 2016 and to edge up a bit further
thereafter. Compared with the December Tealbook, this projection is about
1 percentage point lower in the first half of 2016, largely due to declines in
energy prices. We continue to expect the ECB to purchase assets through
mid-2017 and to keep its policy rates at current low levels until late 2018.
However, the recent lowering of the near-term inflation outlook, along with
recent declines in longer-term inflation compensation, raise the possibility that
the ECB will undertake further stimulus.


Japan. Growth in the fourth quarter is estimated to have remained around
1 percent. The recent appreciation of the yen should damp export growth, but
the decline in oil prices should provide an offsetting boost to consumption.
All told, we still expect that GDP growth will stay around 1 percent in 2016,
supported by ongoing monetary easing and low oil prices, before a second
hike in the consumption tax temporarily stalls the expansion in 2017.
We estimate that consumer prices fell ¼ percent last quarter, largely reflecting
falling retail energy prices, but that core inflation held steady at just under

Int’l Econ Devel & Outlook

GDP to rise at about a 2 percent rate over the next three years, a touch higher

Authorized for Public Release

1 percent. We project that inflation (excluding the direct effect of the 2017
consumption tax hike) will rise to 1 percent by the end of 2016 and to
1¼ percent in 2017 and 2018. With inflation well below the BOJ’s 2 percent
target, and given the recent substantial oil price declines and appreciation of
the yen, we now expect that the BOJ will expand its asset purchase program
by midyear.

Int’l Econ Devel & Outlook



United Kingdom. Recent indicators, such as PMIs for services and
construction, retail sales, and economic sentiment, point to solid growth in
domestic demand, which has offset some of the weakness in external demand.
We expect GDP growth to pick up from 1¾ percent in the third quarter to
2¼ percent in the fourth and to average just above that pace over the next
three years. We also expect that uncertainty about the referendum on U.K.
membership in the European Union (EU), which could take place as soon as
the middle of this year, will weigh on activity. But, because our baseline
assumption is of continued EU membership, this effect should be temporary
and largely offset by the boost from recent declines in oil prices and the
foreign exchange value of the pound.
Because of declining energy prices, consumer prices fell 0.3 percent in the
fourth quarter, and we expect them to rise by ½ percent this quarter,
½ percentage point below the December forecast. As energy prices stabilize
and the economy continues to expand, we project that inflation will step up to
a 2 percent pace by late 2016. In response to BOE communications focusing
on recent slower wage growth and uncertainties about the global economy, we
now expect the BOE to wait until the third quarter of 2016 to begin raising its
policy rate, one quarter later than assumed in the December Tealbook.

Authorized for Public Release

The Foreign GDP Outlook
Real GDP*

H1

2015
Q3

Q4

1. Total Foreign
Previous Tealbook

1.5
1.5

2.5
2.4

2.

Advanced Foreign Economies
Previous Tealbook
Canada
Euro Area
Japan
United Kingdom

0.8
0.8
-0.5
1.9
1.9
1.8

Emerging Market Economies
Previous Tealbook
China
Emerging Asia ex. China
Mexico
Brazil

2.2
2.3
6.5
2.7
2.3
-5.7

3.
4.
5.
6.
7.
8.
9.
10.
11.

Q1

2016
Q2

2017

2018

H2

2.0
2.3

2.3
2.6

2.6
2.8

2.8
2.8

2.8
2.8

2.9
2.9

1.8
1.8
2.3
1.2
1.0
1.8

1.0
1.7
0.6
1.3
0.9
2.2

1.4
1.9
1.2
1.7
1.0
2.4

1.8
2.0
1.8
2.0
1.1
2.4

2.2
2.1
2.3
2.2
1.2
2.4

2.0
1.8
2.1
2.2
-0.3
2.4

1.9
1.9
1.8
2.1
1.0
2.3

3.1
3.0
7.2
3.8
3.0
-6.7

2.9
2.8
7.0
3.6
2.2
-4.5

3.1
3.3
6.2
4.1
2.5
-2.5

3.4
3.5
6.3
4.3
2.8
-1.0

3.5
3.6
6.2
4.2
2.8
0.1

3.6
3.8
6.1
4.1
2.8
1.6

3.8
3.9
6.0
4.1
2.9
2.1

Int’l Econ Devel & Outlook

Percent change, annual rate

* GDP aggregates weighted by shares of U.S. merchandise exports.
... Not applicable.

Total Foreign GDP

Foreign GDP
Percent change, annual rate

Percent change, annual rate

8

Current
Previous Tealbook

10

Current
Previous Tealbook
6
Emerging market economies
4

5

2

0
0
-2

Advanced foreign economies

-4
-5

-6
-8

-10
2010

2012

2014

2016

2018

-10
2010

2012

2014

2016

2018

Authorized for Public Release

The Foreign Inflation Outlook

Int’l Econ Devel & Outlook

Consumer Prices*

Percent change, annual rate

H1

2015
Q3

Q4

Q1

2016
Q2

H2

1. Total Foreign
Previous Tealbook

1.4
1.4

2.0
2.0

1.0
1.0

1.4
1.8

2.0
2.2

2.

Advanced Foreign Economies
Previous Tealbook
Canada
Euro Area
Japan
United Kingdom

0.6
0.6
1.1
0.5
0.7
-0.2

0.7
0.7
2.3
-0.1
0.0
1.0

0.1
0.2
0.8
-0.1
-0.3
-0.3

-0.1
0.8
1.1
-1.0
-0.4
0.5

Emerging Market Economies
Previous Tealbook
China
Emerging Asia ex. China
Mexico
Brazil

2.0
2.0
1.4
1.4
1.9
10.6

3.0
2.9
3.1
1.5
2.8
10.1

1.7
1.6
-0.2
2.6
2.4
10.3

2.5
2.5
1.5
2.5
3.0
7.6

3.
4.
5.
6.
7.
8.
9.
10.
11.

2017

2018

2.3
2.4

2.5
2.5

2.5
2.5

0.9
1.3
1.4
0.8
0.1
1.7

1.4
1.5
1.7
1.4
0.7
2.0

1.9
1.9
2.0
1.6
2.5
2.1

1.7
1.7
2.0
1.6
1.3
2.0

2.8
2.8
2.1
2.7
3.2
6.2

3.0
3.0
2.4
3.1
3.2
6.2

3.0
3.0
2.5
3.2
3.2
5.5

3.0
3.0
2.5
3.3
3.2
5.4

* CPI aggregates weighted by shares of U.S. non-oil imports.
... Not applicable.

Foreign Monetary Policy
AFE Policy Rates

AFE Central Bank Balance Sheets
Percent

Japan
Euro area
Canada
United Kingdom

Percent of GDP

3.0

Japan
Euro area
Canada
United Kingdom

2.5

EME Policy Rates
Percent

80

70

China*
Korea
Brazil

16
14

Mexico

12

60
2.0

10
50
1.5

8
40
6

1.0
30
0.5

20

0.0
2010

2012

2014

2016

2018

4
2

10
2009

2011

2013

2015

0
2010 2012 2014 2016 2018

* 1-year benchmark lending rate.

Authorized for Public Release

Recent Foreign Indicators
Industrial Production

Nominal Exports
Jan. 2010 = 100
Foreign
AFE
EME*

Jan. 2010 = 100

160

Foreign
AFE*
EME**

150

125
120

140

115

130
110
120

100

100
90
2010

2011

2012

2013

2014

2015

95
2010

2016

2011

2012

2013

2014

2015

2016

* Excludes Australia and Switzerland.
** Excludes Venezuela, Hong Kong, and Colombia.

* Excludes Venezuela.

Employment

Retail Sales
12-month percent change
Foreign
AFE*
EME**

4-quarter percent change

12

Foreign
AFE
EME*

10

5
4

8

3

6
2
4
1

2

0

0
-2
2010

2011

2012

2013

2014

2015

-1
2010

2016

* Excludes Australia.
** Includes Brazil, Chile, China, Indonesia, Korea, Mexico,
and Taiwan.

2011

2012

2013

2014

2015

2016

* Excludes Argentina, China, and Venezuela.

Consumer Prices: Advanced Foreign Economies
12-month percent change
Headline
Core*

Consumer Prices: Emerging Market Economies

3.0

12-month percent change
7
Headline
Ex. food--Emerging Asia*
Ex. food--Latin America*
6

2.5

5

2.0

4

1.5

3

1.0

2

0.5

1

3.5

0.0
2010

2011

2012

2013

2014

2015

Note: Excludes Australia, Sweden, and Switzerland.
* Excludes all food and energy; staff calculation.
Source: Haver Analytics and CEIC.

2016

0
2010

2011

2012

2013

* Excludes all food; staff calculation.

2014

2015

2016

Int’l Econ Devel & Outlook

105

110

Authorized for Public Release

Evolution of Staff’s International Forecast

Total Foreign GDP
Percent change, Q4/Q4

6
5

2015

4

2016
2017

2018

Int’l Econ Devel & Outlook

3
2
1

1/23 3/13 4/24 6/12 7/24 9/1110/23 12/11 1/22 3/12 4/23 6/11 7/23 9/1010/22 12/10 1/21 3/11 4/22 6/10 7/22
2013
2014
2015

0

9/9 10/21 12/9 1/20
2016

Tealbook publication date

Total Foreign CPI
Percent change, Q4/Q4

4.0
3.5

2015

3.0

2017

2016

2018
2.5
2.0
1.5
1.0
0.5

1/23 3/13 4/24 6/12 7/24 9/1110/23 12/11 1/22 3/12 4/23 6/11 7/23 9/1010/22 12/10 1/21 3/11 4/22 6/10 7/22
2013
2014
2015

0.0

9/9 10/21 12/9 1/20
2016

Tealbook publication date

U.S. Current Account Balance
Percent of GDP

0
-1
-2

2015
-3

2016

-4
2017

2018
-5

1/23 3/13 4/24 6/12 7/24 9/1110/23 12/11 1/22 3/12 4/23 6/11 7/23 9/1010/22 12/10 1/21 3/11 4/22 6/10 7/22
2013
2014
2015

Tealbook publication date

-6

9/9 10/21 12/9 1/20
2016

Authorized for Public Release

Financial Developments
Stock prices tumbled worldwide over the intermeeting period, as the post-yearend turmoil in Chinese financial markets and the continued slide in oil prices stoked
global growth concerns and increased risk aversion. The decline in the prices of risky
assets after year-end weighed on policy rate expectations both domestically and abroad,
and market-based measures of forward inflation compensation fell to record lows.
Corporate credit quality showed some further signs of deterioration, and speculativegrade issuance slowed to a near halt. Financing conditions for high-credit-quality
businesses and households, though, apparently remained accommodative.
Following the Committee’s decision at the December meeting to raise the target
range for the federal funds rate, the effective federal funds rate rose to the middle of the
new target range and other overnight market rates moved up largely in line. Otherwise,
the FOMC statement elicited little market reaction.
x

The Shanghai composite index dropped 14 percent over the intermeeting
period, and the renminbi depreciated 1Ҁ percent against the dollar, despite

x

Brent crude oil prices fell to less than $30 per barrel, a level not seen in over a
decade. The broad index of the dollar increased 2¾ percent.

x

The S&P 500 index dropped about 8 percent, and stock indexes in the euro
area and Japan fell 8 percent and 10 percent, respectively. The VIX rose to
about 26 percent, near the top of its range over the past few years.

x

Yields on 2-, 5-, and 10-year nominal Treasury securities decreased 12, 23,
and 22 basis points, respectively. Interest rates on 30-year mortgages moved
roughly in line with Treasury yields.

x

The expected target federal funds rate of participants in the primary dealer
survey by the end of 2016 is now 0.80 percent, implying one less rate hike
compared with the December survey.

Financial Developments

reports of repeated intervention in both markets by Chinese authorities.

Authorized for Public Release

Foreign Developments
Stock Price Indexes

Dollar Exchange Rate Indexes
Jan. 2, 2015 = 100
Dec.
FOMC

Daily
MSCI Emerging Markets*
DJ Euro Stoxx
Shanghai
S&P 500

Jan. 2, 2015 = 100

190

Daily

180

Euro
AFE
EME

170
160

120
115

150
140

110

130
Jan.
19

125

Dec.
FOMC

Jan.
19

120

105

110
100

100

90
80
Jan.

Mar.

May July
2015

Sept. Nov.

* Local currency returns.
Source: Bloomberg.

95

Jan.
2016

Jan.

May July
2015

Sept. Nov.

Jan.
2016

Source: Federal Reserve Board; Bloomberg.

AFE and U.S. 10-Year Nominal Benchmark Yields
Percent
Dec.
FOMC

Daily

United
States

24-Month-Ahead Policy Expectations
Percent

3.5
United
States

3.0

Germany

1.2
0.8

United
Kingdom

1.5

Jan.
19

Japan

1.0

Japan

Mar.

Euro area

0.5

May July
2015

Sept. Nov.

Source: Bloomberg.

-0.4
-0.8

Jan.

Jan.
2016

4.2

RMB spread (left scale)
RMB offshore (right scale)
RMB onshore (right scale)

3.6
3.0

Dec.
FOMC

7.0

20

Billions of dollars

Sept. Nov.

Jan.
2016

Basis points

Dec.
Weekly
FOMC
Equity funds (left scale) EMBI+
Jan.
Bond funds (left scale) (right scale)
19

16
6.7

12

6.4

1.8
6.1

0.6

5.8

0.0
5.5
Jan.

Mar. May

Source: Bloomberg.

July Sept. Nov. Jan.
2015
2016

500

350
300

-4

250

-8

200

-12

150

-16

-0.6

550

400

4
0

1.2

600

450

8
Jan.
19

2.4

May July
2015

Emerging Market Flows and Spreads

Renminbi (RMB) per U.S. dollar

Daily

Mar.

Note: 1-month forward rates from OIS quotes, 3-day moving average.
Source: Bloomberg.

Chinese Exchange Rates
Percent

0.4
0.0

0.0
Jan.

2.0
1.6

2.5

Jan.
19

United
Kingdom

Dec.
FOMC

Daily

2.0

Financial Developments

Mar.

Jan.

Mar.

May

July
Sept. Nov.
2015

Jan.
2016

100

Note: Emerging market bond spreads over zero-coupon Treasury
securities. Excludes intra-China flows.
Source: Emerging Portfolio Fund Research.

50 of 94

Authorized for Public Release

x

TIPS-based measures of inflation compensation declined, with the 5-to-10year measure of TIPS-based inflation compensation hitting a new low.

x

Yield spreads on both investment- and speculative-grade corporate bonds
widened, in part owing to another jump in energy-sector spreads. CMBS
spreads widened further.

x

Banks’ lending standards reportedly tightened for business loans, on net, but
eased for several categories of loans to households during the fourth quarter.
Loan demand reportedly increased across most major loan categories.1

FOREIGN DEVELOPMENTS
After little discernible reaction following the liftoff of U.S. policy interest rates,
global financial market conditions deteriorated sharply in January, as developments in
Chinese financial markets and another step-down in oil prices appeared to ignite fears
about global growth. This shift in sentiment led to a pronounced decline in the prices of
equities and other risky assets and a notable strengthening of the dollar.
On January 4 and again on January 7, Chinese authorities set a weaker-thanthat this action foreshadowed further renminbi depreciation spooked investors, and stock
prices in China fell sharply. Since the December FOMC meeting, the Shanghai
composite index has dropped 14 percent despite reports of repeated stock purchases by
government-directed institutions. Chinese authorities also appear to have intervened
heavily in both onshore and offshore foreign exchange markets, selling foreign reserves
to manage the pace of depreciation of the renminbi amid intensifying capital outflows.
Concerns about China’s intentions regarding its exchange rate were compounded by the
release of data indicating much larger foreign exchange reserve sales in December than
had been expected. (See the box “Recent Developments in China and Implications for
the Outlook” in the International Economic Developments and Outlook section.)
Both the turmoil in Chinese markets and the sizable decline in oil prices weighed
on global financial markets. Equity prices in advanced foreign economies (AFEs) and
emerging market economies (EMEs) fell sharply, with stock indexes down about
1

See Robert Kurtzman (2016), “The January 2016 Senior Loan Officer Opinion Survey on Bank
Lending Practices,” memorandum to the FOMC, January 21.

Financial Developments

expected central parity for the exchange rate of the renminbi versus the U.S. dollar. Fears

Authorized for Public Release
Policy Expectations and Treasury Yields
Selected Interest Rates

Percent

Percent
1.6
1.5

2.7

ISM
Dec. FOMC
manufacturing minutes
report

Dec. FOMC
statement

1.4

First
Chinese
decline

Dec. 2016
Eurodollar
(left scale)

1.3
1.2
1.1

2.6

Dec. retail
sales report

Second
Dec.
Chinese employment
decline
report

2.5
2.4
2.3
2.2

10-year
Treasury yield
(right scale)

1.0
0.9

2.1
2.0

0.8

1.9
Dec. 16

Dec. 18

Dec. 22

Dec. 24

Dec. 28

Dec. 30

Jan. 1

Jan. 5

Jan. 7

Jan. 11

Jan. 13

Jan. 15

Jan. 19

Note: 5-minute intervals, 8:00 a.m. to 4:00 p.m.
Source: Bloomberg.

Implied Probability Distribution of Timing of the
Next Rate Increase

Survey Responses on Target Federal Funds
Rate by Year-End 2016

Percent
Most recent: January 19, 2016
Last FOMC: December 15, 2015

Percent

70

Most recent: 22 respondents
Last FOMC: 22 respondents

60

60
50

50

40

40
30

Financial Developments

30
20

20

10

10
0
Apr. 27
>=July 27
June 15
2016
Note: Implied by federal funds futures. Assumes that investors expect
the federal funds rate to trade at the expected rate implied by futures
contracts until the next FOMC meeting. The probabilities on December 15
are probabilities conditional on liftoff in December.
Source: CME Group; Federal Reserve Board staff estimates.
Jan. 27

Mar. 16

Treasury Yield Curve

0.000.25%

0.260.50%

0.511.00%

1.011.50%

1.512.00%

2.01>=2.51%
2.50%

0

Note: Unconditional distribution of the federal funds rate.
Source: Desk's primary dealer survey from January 19, 2016.

Inflation Compensation
Percent

Percent

4.0

Daily

Most recent: January 19, 2016
Last FOMC: December 15, 2015

3.5

5 to 10 years ahead

Dec.
FOMC

3.5
3.0

3.0

2.5

2.5
2.0
2.0
1.5

2

5

10

20

Next 5 years*

Jan.
19

1.5

1.0

1.0

0.5

0.5
2016
2014
2015
Note: Estimates based on smoothed nominal and inflation-indexed
Treasury yield curves.
* Adjusted for lagged indexation of Treasury Inflation-Protected
Securities (carry effect).
Source: Federal Reserve Bank of New York; Federal Reserve Board
staff estimates.

30

Maturity in years
Note: Smoothed yield curve estimated from off-the-run Treasury
coupon securities. Yields shown are those on notional par Treasury
securities with semiannual coupons.
Source: Federal Reserve Bank of New York; Federal Reserve Board
staff estimates.

Authorized for Public Release

8 percent and 10 percent in the euro area and Japan, respectively. AFE 10-year sovereign
yields decreased substantially, with almost all of the decline due to a drop in inflation
compensation. Policy expectations for major foreign central banks, which had risen some
after the December FOMC meeting, ended the period down. EME credit spreads
widened, but outflows from EME-dedicated mutual funds remained moderate.
The U.S. dollar appreciated further against most currencies, leaving the broad
index of the dollar up 2¾ percent. The dollar was little changed, on net, against the euro
but appreciated about 6 percent versus sterling and the Canadian dollar. The dollar
appreciated up to 3 percent against most Asian EME currencies, which generally moved
in sympathy with the renminbi, and a bit more versus several Latin American currencies.
In contrast, the dollar depreciated against the Japanese yen, which was likely supported
by flight-to-safety flows, including some unwinding of yen-funded carry trades.

POLICY EXPECTATIONS AND TREASURY YIELDS
The Committee’s decision to raise the target range for the federal funds rate to
¼ to ½ percent at the December meeting elicited little reaction in Treasury and interest
rate futures markets, as market participants had appeared reasonably sure that liftoff
statement were similarly reported as consistent with market expectations that future
adjustments to the target range would be data dependent but likely gradual. The
December FOMC minutes also prompted limited market reaction. Market participants
place essentially no odds on the next rate increase occurring at the January meeting.
Based on a straight read of federal funds futures rates, the perceived odds of a rate hike
by the March meeting declined in the intermeeting period from around 50 percent to
about 30 percent. Positive news regarding December payrolls was overshadowed by
global growth concerns and negative domestic spending indicators.
The market-based expected path of the federal funds rate 12 to 24 months out
flattened over the intermeeting period and continues to lie noticeably below survey-based
expectations. (See the box “Negative Risk Premiums and the Federal Funds Path
Puzzle.”) Similarly, the expected path of the federal funds rate according to the Desk’s
January Surveys of Primary Dealers has declined. The expected year-end 2016 target
federal funds rate moved down to 0.8 percent, suggesting dealers anticipate one less rate
hike by the end of the year compared with the December survey. Survey participants

Financial Developments

would occur in December. The changes to the forward-guidance language in the FOMC

Authorized for Public Release

Negative Risk Premiums and the Federal Funds Path Puzzle
The market price implied path of the federal funds rate over the medium term stands well
below most survey-based measures of the trajectory of the federal funds rate (figure 1). In
part, the gap could indicate that the path of the federal funds rate expected by market
participants differs materially from that expected by survey respondents.1 We explore the
possibility that survey measures of policy expectations may, in fact, be reasonably well
aligned with market expectations and that the gap between the federal funds futures
curve and the surveys largely reflects a substantial negative risk premium.

Financial Developments

A number of standard models suggest that negative risk premiums can arise in some
environments. The general intuition of such models is that investors are willing to accept
low returns on assets that have high payoffs during “bad times” when positive payoffs are
particularly valuable. This intuition suggests that investors may value federal funds futures
contracts partly because they help insure against the risk of recession on the assumption
that the FOMC will lower the federal funds rate in recessions or periods of unexpectedly
low growth.
We use three models from the macro-finance literature to illustrate the potential
magnitude of this negative premium.2 The first model, a variant of the “habit persistence”
model developed by Campbell and Cochrane (1999), assumes that a representative
investor’s marginal utility and risk aversion increase sharply during recessions as
consumption weakens.3 We modify the model to include monetary policy that follows an
inertial Taylor (1999) rule, with the implication that the federal funds rate falls during
recessions, generating insurance value for federal funds futures contracts. Under this

1
Alternative explanations include Illiquidity or other imperfections in financial market prices. The
December 2015 Tealbook discussed several possibilities (see the box “The Federal Funds Rate Path:
Market Expectations and Risk Scenarios” in Book B).
2 Our goal in this exercise is not to calibrate the models to match the observed gap between survey
expectations and futures rates. Rather, we use standard calibrations to the extent possible to determine
what the models imply for the risk premium on federal funds futures rates under fairly typical
parameterizations.
3 John Campbell and John Cochrane (1999), “By Force of Habit: A Consumption-Based Explanation of
Aggregate Stock Market Behavior,” Journal of Political Economy, vol. 107 (April), pp. 205–51.

Authorized for Public Release

model, to infer market expectations for the path of the federal funds rate from market
prices, one must “correct” federal funds futures rates by adding back the model-implied
negative risk premium. The habit model line in figure 2 plots the market-expected path of
the federal funds rate generated by this procedure. The risk premium correction is
substantial under the habit model in the present circumstance. Indeed, the magnitude of
the implied risk premium is about one-half of the observed gap between the actual futures
path (solid red line) and survey-based expectations (blue dots). Under this model, the
premium is presently larger than average in magnitude because aggregate consumption
remains low relative to its pre-crisis trend, and investor risk aversion thus remains high.4
The second model is based on the “long-run risk” (LRR) model of Bansal and Yaron (2004),
which we also modify to include the Taylor rule.5 In this model, macroeconomic
uncertainty increases during recessions, increasing the magnitude of risk premiums. As
shown by the LRR model line, this model also prescribes a large correction to federal funds
futures rates due to the presence of a relatively large negative risk premium. The key
ingredient for this result is that the level of uncertainty regarding the growth rate of
consumption is somewhat higher than average.

As discussed earlier, the risk premium in these models stems from a positive correlation
between the federal funds rate and consumption. That correlation may hold up well
during periods when economic fluctuations are driven largely by “demand shocks.”
However, the risk premium could be quite different during periods when high interest
rates are associated with weak economic activity. While the results from these models are
suggestive, there are some caveats that should be noted. First, more work is necessary to
develop estimates of term premiums that can capture realistic behavior over time using
these models. Second, these models suggest that, at present, we should observe relatively
high risk premiums for other assets that could suffer losses during recessions, such as
corporate equities and bonds. Measuring such risk premiums is very difficult; by some
estimates, risk premiums for these assets are currently somewhat elevated. However,
other estimates of risk premiums for such assets are not especially high. Developing
models that can account for the linkages in risk premiums across asset classes is an
important area for future research.

4 In general, this model requires extremely high levels of investor risk aversion to match the average
levels of other risk premiums observed in the economy, such as the equity risk premium.
5 Ravi Bansal and Amir Yaron (2004), “Risks for the Long Run: A Potential Resolution of Asset Pricing
Puzzles,” Journal of Finance, vol. 59 (August), pp. 1481–1509.
6 Anthony M. Diercks (2015), “The Equity Premium, Long-Run Risk, and Optimal Monetary Policy,”
Finance and Economics Discussion Series 2015-087 (Washington: Board of Governors of the Federal
Reserve System, September), http://dx.doi.org/10.17016/FEDS.2015.087.

Financial Developments

Monetary policy was exogenously specified in the first two models; in contrast, the third
model, based on Diercks (2015), combines the long-run risk specification with the New
Keynesian dynamic stochastic general equilibrium (DSGE) literature and assumes fully
endogenous monetary policy, consumption, and asset prices.6 As shown by the DSGE
model line, this model also predicts a sizable negative risk premium at the end of 2018.

Authorized for Public Release

Corporate Asset Prices and Earnings
Intraday Crude Oil and S&P 500 Futures
Dollars
42

Equity Performance, by International Sales
Exposure
Dec. 15, 2015 = 100

Dec. 15, 2015, 4:00 p.m. = 100
108

5-minute increments

106

40

105

Low
exposure

104

38

110

Dec.
FOMC

Daily

102

36

100

100
34

98

32

Jan.
19

96

WTI crude* (left scale)
S&P 500 (right scale)

30

95

High
exposure

90

94

28

92
Dec. 15

Dec. 22
2015

Dec. 30

Jan. 7

85
June July Aug. Sept. Oct. Nov. Dec. Jan.
2015
2016

Jan. 14
2016

* 2-month West Texas intermediate futures.
Source: Bloomberg.

Note: Sample includes all Compustat firms except those in the energy,
financial, and utility sectors. International sales exposure is defined as the
ratio of foreign sales to total sales.
Source: Compustat; Yahoo Finance.

Implied Volatility on S&P 500 (VIX)

Bond Ratings Changes of Nonfinancial Firms

Log scale, percent
Dec.
FOMC

Daily

Percent of outstandings*
60
50

40

Annual rate
Upgrades

20

40
Q3
H1 Q4

30

Jan.
19

0

Financial Developments

20

20
40

Downgrades

10
2011

2012

2013

2014

2015

2016

Source: Chicago Board Options Exchange.

Percentage points
Daily

6

High-Yield Spreads, by Sector
Percentage points
Dec.
FOMC

5
4

Percentage points
16

10-year triple-B
(left scale)

Dec.
FOMC

Daily

14

Energy and
utilities

10

3

8

2

6

Jan.
19

0

7
Jan.
19

Note: Spreads over 10-year Treasury yield.
Source: Staff estimates of smoothed corporate yield curves
based on Merrill Lynch data and smoothed Treasury yield curve.

6

4
3

Other

2
1998 2001 2004 2007 2010 2013 2016

9

5

4

1

10

8

Telecommunications

12
10-year high-yield
(right scale)

2015

* Computed as a percent of nonfinancial bonds outstanding.
Source: Calculated using Moody’s ratings from Mergent Fixed
Income Securities Database.

Corporate Bond Spreads
7

60
2001 2003 2005 2007 2009 2011 2013

2
2011

2012

2013

2014

2015

2016

Note: Spreads over 10-year Treasury yield.
Source: Staff estimates of smoothed corporate yield curves
based on Merrill Lynch data and smoothed Treasury yield curve.

Authorized for Public Release

view 1.3 percent to be the most likely level of the federal funds rate at which the timing
of the Committee’s reinvestment policy will change.
Consistent with the decline in fed funds futures rates, nominal Treasury yields
decreased over the intermeeting period. Part of the decline likely reflected lower term
premiums related to global growth concerns following Chinese developments and the
continued slide in oil prices. Yields on 2-, 5-, and 10-year nominal Treasury securities
decreased 12, 23, and 22 basis points, respectively. Meanwhile, near-term uncertainty
about longer-term interest rates, as measured by swaption-implied volatilities on the
10-year swap rate, was little changed on net.
The 5- and 5-to-10-year measures of TIPS-based inflation compensation moved
down 11 basis points and 17 basis points, respectively, largely in line with declining oil
prices, pushing the far-term measure to a new low. Inflation compensation measures
based on inflation swaps posted similar declines.

CORPORATE ASSET PRICES AND EARNINGS
Broad U.S. stock price indexes fell 8½ percent since the December FOMC
to energy and basic materials, banks and technology were among the hardest-hit sectors.
U.S. firms with high international sales exposure decreased more than those with low
exposure. The one-month-ahead option-implied volatility on the S&P 500 index—the
VIX— climbed to about 26, near the 90th percentile of its range over the past few years
but short of last August’s spike.
Yield spreads of investment- and speculative-grade corporate bonds widened
19 basis points and 46 basis points, respectively, in part as spreads for firms in the energy
sector ratcheted up sharply to levels signaling considerable financial stress. Bid-asked
spreads for high-yield corporate bonds were little changed, on net, around the December
FOMC liftoff announcement and the liquidation of a high-yield corporate debt fund,
Third Avenue Focused Credit Fund. High-yield bid-asked spreads spiked near year-end,
mostly reflecting their seasonal pattern, but have since normalized.
Reflecting primarily the slump in the energy and materials sectors, corporate
earnings continued to show signs of weakness. Based on our most recent read of Wall
Street analysts’ earnings forecasts, fourth-quarter earnings are estimated to have declined

Financial Developments

meeting, largely in sync with oil prices and equity markets around the world. In addition

Authorized for Public Release
Business and Municipal Finance
Selected Components of Net Debt Financing,
Nonfinancial Firms
Billions of dollars
Commercial paper*
C&I loans*
Corporate bonds
Total

H1

2011

2012

2013

2014

Q3

Q4

Tightening/stronger

Net percent
100
90
80
70
60
50
40
30
20
10
0
-10
-20

80
60
40
Q4

0
-40
-60

Standards
Demand

-80
-100

1995

1999

2003

2007

2011

2015

Note: Individual bank responses have been weighted by the outstanding
amount of the relevant loan category on its balance sheet at the end of the
prior quarter. Shaded bars indicate periods of business recessions as
defined by the National Bureau of Economic Research.
Source: Federal Reserve Board, Senior Loan Officer Opinion Survey on
Bank Lending Practices.

Nonfinancial Equity Issuance: IPO and SEO

Institutional Leveraged Loan Issuance, by Purpose

Billions of dollars

Billions of dollars

16

Monthly rate

14

SEO
IPO

12

75

Monthly rate

New money
Refinancings

60

10

Total

Q2

45

8

Financial Developments

6
Q4

Q1

2
Q3

30

Q3

4

H1

15

0

Q4

-2
2011

2012

2013

2014

2015

10-Year Triple-A CMBS Spreads over Swaps
Basis points

0
2002 2004 2006 2008 2010 2012 2014 2015
Source: Thomson Reuters LPC LoanConnector.

Note: IPO is initial public offering; SEO is seasoned equity offering.
Source: Securities Data Company.

700

Municipal Bond Spread

Basis points
Dec.
FOMC

Weekly

600

Ratio
225

Dec.
FOMC

Weekly

175
Triple-B spread
(left scale)

500

Jan.
15

1.4

1.1
25

2012

Source: J.P. Morgan.

1.3
1.2

75

200
2011

1.6

125
Jan.
14

Triple-A spread
(right scale)

1.7

1.5

400
300

20
-20

1991

2015

* Period-end basis, seasonally adjusted.
Source: Depository Trust & Clearing Corporation; Mergent Fixed
Investment Securities Database; Federal Reserve Board.

100

Quarterly

Easing/weaker

Monthly rate

Standards and Demand for C&I Loans

2013

2014

2015

2016

1.0
2011

2012

2013

2014

2015

2016

Note: Bond Buyer general obligation 20-year index over 20-year Treasury yields.
Source: Bond Buyer; Merrill Lynch.

Authorized for Public Release

slightly from year-ago levels. Excluding oil and gas firms, earnings appear to have
increased modestly.
Credit quality of nonfinancial businesses continued to show signs of deterioration.
Through the third quarter, the aggregate ratio of debt to assets climbed further to its
highest level since the early 1990s. The volume of nonfinancial bonds downgraded by
Moody’s Investors Service outpaced the volume of upgrades again in December.
Downgrades continued to plague speculative-grade issuers in the energy sector, but, even
outside the energy sector, downgrades outpaced upgrades. The Moody’s KMV expected
year-ahead default rate continued to increase and is near the upper range of its
distribution outside of recessions. In the most recent SLOOS, on net, a significant
number of banks expected a worsening of the performance of loans to larger firms over
2016, especially syndicated leveraged loans.

BUSINESS AND MUNICIPAL FINANCE
Financing conditions for riskier firms tightened somewhat but remained
accommodative for highly rated firms. In December and early January, investment-grade
bond issuance remained robust, while speculative-grade bond issuance was weak. In the
to large and middle-market firms, and a significant number of banks reported tightening
spreads on the riskiest loans in their portfolios. Banks that reported tightening standards
and terms pointed to industry-specific problems, particularly in the oil and gas industry,
as one of the reasons. Both initial and seasoned equity offerings also continued to be
subdued, while M&A activity remained strong. Issuance volumes in the syndicated
leveraged loan market decreased in the fourth quarter, as new-issue spreads increased.
The decline in issuance was particularly pronounced for relatively risky leveraged loans
such as those earmarked for leveraged buyouts.
While overall financing conditions for CRE remained fairly accommodative and
credit continued to flow smoothly into the sector, financing conditions tightened
somewhat over the intermeeting period. In CMBS markets, spreads continued to widen
but CMBS issuance for December continued apace. In the most recent SLOOS, on net, a
moderate number of banks reported tightening standards on CRE loans in the fourth
quarter. Nevertheless, the growth of CRE loans on banks’ balance sheets remained
robust through the fourth quarter.

Financial Developments

most recent SLOOS, on net, a moderate number of banks reported tightening C&I loans

Authorized for Public Release
Household Finance
Selected ABS Spreads (3-Year Triple-A)

Consumer Interest Rates
Percent
19
18
17
16
15
14
13
12
11
10
9
8

Basis points

Percent
Weekly

Dec.
FOMC

Weekly

Variable-rate credit cards (left scale)
New auto loans (right scale)

Jan.
13
Jan.
10

2014

2015

550
FFELP student loans
Fixed credit card
Fixed prime auto

250
150
Jan.
14

2008

2010

2012

2014

2016

Note: Spreads are to swap rate for credit card and auto
ABS and to 3-month LIBOR for student loans. FFELP is
Federal Family Education Loan Program.
Source: J.P. Morgan.

Net Percentage of Banks Tightening Standards
Net percent
for Consumer Loans

Consumer Credit
Percent change from a year earlier

18
12
Nov.

Quarterly
Tightening

24

15
0

6
0

Auto loans

-6

-15
-30
-45
-60

-12

Credit cards

45
30

Credit card loans
Auto loans

Easing

Student loans

50
-50

2016

Monthly

450
350

Source: For variable-rate credit cards, Bankrate Monitor; for
new auto loans, J.D. Power and Associates.

Financial Developments

650

10
9
8
7
6
5
4
3
2
1
0

-75
2007

2009

2011

2013

2015

Q2 Q4 Q2 Q4 Q2 Q4 Q2 Q4 Q2 Q4
2011
2012
2013
2014
2015

Note: The data are not seasonally adjusted.
Source: Federal Reserve Board.

Note: Responses are weighted by survey respondents’
holdings of relevant loan types as reported on Call Reports.
Source: Federal Reserve Board, Senior Loan Officer Opinion
Survey on Bank Lending Practices.

Net Percentage of Respondents Tightening Standards
Net percent
for Residential Mortgage Loans

GSE
Government

QM jumbo
Non-QM jumbo

Easing

Tightening

Quarterly

Mortgage Rate and MBS Yield
Percent

100
80
60
40
20
0
-20
-40
-60
-80
-100

6.5

Daily

Dec.
FOMC

6.0
5.5

30-year conforming
fixed mortgage rate

5.0
4.5
4.0
Jan.
19

MBS yield

3.0
2.5

2014:Q4 2015:Q1 2015:Q2 2015:Q3 2015:Q4
Note: Individual bank responses are weighted by residential real
estate loans outstanding as of the end of the prior quarter. Loans
eligible for purchase by government-sponsored enterprises
(GSEs) meet Fannie Mae and Freddie Mac underwriting
guidelines. Qualified mortgages (QMs) satisfy the Consumer
Financial Protection Bureau mortgage rules. Jumbo loans have
origination amounts exceeding GSE loan limits.
Source: Federal Reserve Board, Senior Loan Officer Opinion
Survey on Bank Lending Practices.

3.5

2.0
1.5
2012

2013

2014

2015

Note: The MBS yield is the Fannie Mae 30-year
current-coupon rate.
Source: For MBS yield, Barclays; for mortgage rate,
Loansifter.

60 of 94

2016

Authorized for Public Release

Financing conditions for municipalities stayed generally stable. Over the
intermeeting period, the general obligation (GO) municipal bond yield spread was little
changed, even as Puerto Rico continued to experience financial stress. As expected, the
commonwealth made principal and interest payments on its GO debt due January 1 but
defaulted on a small amount of bonds issued by its infrastructure and development
institutions.

HOUSEHOLD FINANCE
Financing conditions in consumer credit markets were little changed and
remained accommodative on balance. Since liftoff, interest rates on variable-rate credit
cards have ticked lower, while those on new auto loans are little changed. Spreads on
consumer loan ABS, which fund a moderate portion of these consumer loans, have
stabilized at somewhat elevated levels after widening earlier last year.
Consumer loan balances continued to rise at a robust pace through November,
reflecting a further expansion in credit card balances and robust increases in auto and
student loan balances. Student and auto loans remained broadly available, even to
borrowers with subprime credit histories. In contrast, lending standards on credit card
banks indicated, on net, that over the past three months they had eased standards and
terms on auto loans and tightened standards and terms on credit card loans. A significant
fraction of respondents expect the performance of subprime auto loans to deteriorate this
year.
Credit conditions for residential mortgages were little changed over the
intermeeting period. Despite the gradual net easing that has occurred for several years,
credit remained tight for borrowers with low credit scores, hard-to-document income, or
high debt-to-income ratios. A number of banks reported in the SLOOS that they had
eased standards on several types of home mortgages over the past three months, and that
they expected to ease standards further this year.

BANKING DEVELOPMENTS AND MONEY
Growth of core loans at commercial banks remained strong in the fourth quarter.
CRE, RRE, and C&I loans grew at rates similar to those of the previous quarter, while

Financial Developments

loans continued to be relatively tight for riskier borrowers. In response to the SLOOS,

Authorized for Public Release

Banking Developments and Money
Selected Components of Liquid Assets at Large
Percent
Banks

Core Loans and Securities
Percent
20

Core loans
Securities

Monthly, year over year

70

Monthly, year over year

15
10
Dec.

60

Government securities
Government securities + cash
QE3
begins

5

50
40

QE3
ends

30
20

0

10
Dec.

-5

0
-10

-10

-20
Jan.

Oct.
July
Apr.
Jan.
Oct.
July
2011
2012
2013
2014
2015
Note: Year-over-year growth rates are shown. Government
securities include Treasury and agency debt plus agency
mortgage-backed securities.
Source: Federal Reserve Board, FR 2644, Weekly Report of
Selected Assets and Liabilities of Domestically Chartered
Commercial Banks and U.S. Branches and Agencies of Foreign
Banks.

-15
2005

2007

2009

2011

2013

2015

Quarterly

C&I Loan Terms: Changes in Premiums Charged
Net percent
on Riskier Loans

Net percent
100

Standards
Demand

80
60
Q4

40

Tightening

Commercial Real Estate Loans
Changes in Standards and Demand

100

Quarterly

80
60
40
Q4

20

0

-20

-20

-40
-60
-80

-40

Large/middle-market firms
Small firms

-60
-80

-100
1997

2000

2003

2006

2009

2012

-100

2015

2000

Source: Federal Reserve Board, Senior Loan Officer
Opinion Survey on Bank Lending Practices.

2003

2006

2009

2012

2015

Source: Federal Reserve Board, Senior Loan Officer
Opinion Survey on Bank Lending Practices.

Growth of M2 and Its Components

S&P 500 Stock Price Indexes
Ratio scale; Dec. 15, 2015 = 100
Oct.
FOMC

Daily

S&P 500 Bank Index

120

Percent, s.a.a.r.
110

S&P 500

Jan.
19

M2

Liquid
deposits

Small time
deposits

Retail
MMFs

Curr.

100

2015

6.0

7.6

-17.5

-.3

7.3

90

2015:H1

6.2

8.0

-15.0

-4.6

7.5

2015:Q2

4.7

6.7

-20.6

-5.3

5.1

2015:Q3

6.1

7.9

-27.1

3.5

6.4

2015:Q4

5.1

5.9

-17.3

4.9

7.3

80
70

2013
Source: Bloomberg.

2014

2015

2016

20

0

Easing

Easing/weaker

Financial Developments

Tightening/stronger

Note: Growth rates based on average (not seasonally
adjusted) monthly levels.
Source: Federal Reserve Board, FR 2644, Weekly Report of
Selected Assets and Liabilities of Domestically Chartered
Commercial Banks and U.S. Branches and Agencies of Foreign
Banks.

60
Note: Retail MMFs are retail money market funds.
Source: Federal Reserve Board.

Note: The shaded bars indicate periods of business recession as defined by the National Bureau of Economic Research.

Authorized for Public Release

auto and other consumer loans grew at a faster pace. Large banks continued to build up
holdings of agency MBS and reduce holdings of Treasury securities.
Over the intermeeting period, stock prices of large domestic BHCs substantially
underperformed the broader market, but CDS spreads increased only modestly. Of those
large banks that have reported earnings, the majority have met or exceeded analysts’
earnings forecasts for the fourth quarter; large bank profitability improved a bit despite
increases in loss provisions for oil-related loans and persistent pressures on net interest
margins from low interest rates. However, market participants primarily focused on the
exposure of banks to declines in oil prices and global growth concerns.
M2 expanded at an average annual rate of around 6 percent over November and
December, continuing the moderate growth seen over the second half of 2015. The passthrough of the increase in the general level of short-term rates to retail deposit rates has
been limited to date.

FEDERAL RESERVE OPERATIONS AND SHORT-TERM FUNDING MARKETS
Following the increase in the target range for the policy rate, the effective federal
the target range.2 The overnight repo rate for Treasury collateral, as surveyed by the
Desk, increased to about 30 basis points in the days following the FOMC meeting.
Subsequently, in response to typical year-end pressures, the fed funds and
Eurodollar rates dipped below the target range, to 20 basis points on year-end. The
decline in unsecured rates was somewhat larger than the drops observed on recent
quarter-ends, likely reflecting reduced support from the zero lower bound. The average
financing rate for primary dealers increased a few basis points, while the increase in the
GCF repo rate was more pronounced. Following year-end, pressures in money markets
quickly abated.

2

The effective federal funds rate averaged 34 basis points over the intermeeting period, with the
intraday standard deviation averaging 5.3 basis points. On March 2, 2016, the Federal Reserve Bank of
New York will change the data source for the calculation of the effective federal funds rate from
aggregated data provided by federal funds brokers to individual federal funds transactions reported by
depository institutions in the Report of Selected Money Market Rates (FR 2420). The effective federal
funds rate will be calculated as a volume-weighted median rate, as opposed to the current volume-weighted
average rate.

Financial Developments

funds and Eurodollar rates traded within a range of 35 to 37 basis points, in the middle of

Authorized for Public Release
Federal Reserve Operations and Short-Term Funding Markets
ON RRP and Term RRP Take-Up
Basis points
Daily

GCF Treasury repo
1-month Treasury bill
ON RRP
Federal funds
Triparty Treasury repo
Interest rate on excess reserves

Sept.

Oct.

Nov.
2015

Dec.
FOMC

Dec.

Jan.
19

Billions of dollars
75
70
65
60
55
50
45
40
35
30
25
20
15
10
5
0

Note: GCF is General Collateral Finance; ON RRP is overnight
reverse repurchase agreement; repo is repurchase agreement.
Source: Depository Trust & Clearing Corporation; Federal Reserve
Bank of New York; Federal Reserve Board.

Basis points

Financial Developments

GCF Treasury repo
Federal funds
Eurodollar
Triparty Treasury repo

-7

-6

-5

-4

-3 -2 -1 0 1 2 3 4 5 6 7
Business days from year-end
Note: GCF is General Collateral Finance; repo is repurchase
agreement.
Source: Depository Trust & Clearing Corporation; Federal Reserve
Bank of New York; Federal Reserve Board.

80
75
70
65
60
55
50
45
40
35
30
25
20
15
10
5
0

550
500
450
400
350
300
250
200
150
100
50
0

Jan.

Mar.

May
July
2015

Sept.

Nov.

Jan.
2016

Note: ON RRP is overnight reverse repurchase agreement; term
RRP is term reverse repurchase agreement.
Source: Federal Reserve Bank of New York.

Money Market Rates around Year-End
Daily

ON RRP
Term RRP

Nov.
2014

Jan.
2016

Jan.
19

Daily

Authorized for Public Release

Take-up of RRPs was almost unchanged immediately following the increase in
the policy rate and continued to be explained by the spread of the ON RRP offering rate
to comparable money market rates. Demand rose steadily in the days leading up to yearend, with ON RRPs outstanding reaching $475 billion on December 31, consistent with
recent quarter-ends. Demand for term RRPs was nearly nil, as there was ample capacity
in the overnight RRP facility and term RRPs were not offered at any premium over
overnight RRPs. More recently, overnight take-up fell to under $100 billion.
The Desk purchased about $21 billion of 15- and 30-year MBS under the
reinvestment program and rolled $0.9 billion in expected settlements over the period. The
ratio of monthly settlements for these reinvestment operations relative to gross issuance

Financial Developments

of MBS was roughly unchanged in December at about 30 percent.3

3

Reserve Banks provided payments of approximately $98 billion of their estimated 2015 net
income to the U.S. Treasury. In addition, the Federal Reserve transferred to the Treasury $19.3 billion
from Reserve Bank capital surplus on December 28, 2015, which was the amount necessary to reduce
aggregate surplus to the $10 billion surplus limitation in the Fixing America's Surface Transportation Act.

Authorized for Public Release

Financial Developments

(This page is intentionally blank.)

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January 20, 2016

Risks and Uncertainty
ASSESSMENT OF RISKS
We view the uncertainty around our projections for real GDP growth, the
unemployment rate, and inflation as broadly in line with the average over the past
20 years, a period that includes considerable volatility in real activity but relatively stable
inflation. We have maintained our assumption that the risks to our GDP projection are
tilted to the downside and that the risks to our unemployment projection are tilted to the
upside, both because we view neither monetary nor fiscal policy as well positioned to
offset large adverse shocks to the economy, and—a consideration that has recently
become even more salient—because of downside risks emanating from abroad. Our
concerns with respect to inflation remain mostly to the downside given the low levels of
market-based measures of inflation compensation, hints from some surveys of lower
longer-term inflation expectations, and the possibility that the realization of the downside
risks to economies abroad may put upward pressure on the foreign exchange value of the
dollar.
Our view of the risks to the economic outlook is informed by the staff’s quarterly
quantitative surveillance assessment, which judges the financial vulnerabilities of the
U.S. financial system as moderate. This assessment reflects strong capital and liquidity
positions at banks, moderate leverage in the nonbank financial sector, and subdued
borrowing by households. While valuation pressures in corporate debt markets have
eased to a significant degree over the past year amid a pullback in appetite for credit risk,
leverage has continued to increase not just for oil-related firms and riskier segments of
the nonfinancial business sector, but also more broadly. High leverage of nonfinancial
corporations and liquidity mismatch at high-yield bond mutual funds suggest elevated

ALTERNATIVE SCENARIOS
To illustrate some of the risks to the outlook, we construct a number of
alternatives to the baseline projection using simulations of staff models. In the first
scenario, financial turmoil in China triggers a full-blown crisis that severely depresses
activity in emerging market economies (EMEs). In the second scenario, weaker growth
abroad causes the dollar to appreciate substantially and oil prices to decline. In contrast,

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Risks & Uncertainty

risks for bond investors and lower-rated borrowers.

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Alternative Scenarios
(Percent change, annual rate, from end of preceding period except as noted)

2016
Measure and scenario
H1

H2

2017 2018 201920

Real GDP
Extended Tealbook baseline
China-driven crisis in the EMEs
Stronger dollar and lower oil prices
Faster growth with higher inflation
Misperceived NRU
Financial turbulence

2.3
1.5
2.1
4.5
2.3
-1.0

2.6
.8
1.9
3.1
2.7
2.6

2.0
.8
1.6
1.7
2.2
2.6

1.8
2.4
2.0
1.5
2.0
2.2

1.6
2.1
1.8
1.5
1.7
1.8

Unemployment rate1
Extended Tealbook baseline
China-driven crisis in the EMEs
Stronger dollar and lower oil prices
Faster growth with higher inflation
Misperceived NRU
Financial turbulence

4.8
4.9
4.9
4.4
4.8
5.5

4.7
5.1
4.9
4.2
4.7
5.4

4.6
5.7
5.0
4.3
4.4
5.0

4.6
5.6
5.0
4.4
4.2
4.8

4.7
5.3
5.0
4.6
4.3
4.8

Total PCE prices
Extended Tealbook baseline
China-driven crisis in the EMEs
Stronger dollar and lower oil prices
Faster growth with higher inflation
Misperceived NRU
Financial turbulence

-.1
-1.1
-1.1
.4
-.1
-.2

1.5
-.4
.9
2.1
1.4
1.5

1.7
.7
1.3
2.2
1.5
1.7

2.0
1.9
1.8
2.4
1.7
1.9

2.0
2.0
1.9
2.4
1.9
2.0

Core PCE prices
Extended Tealbook baseline
China-driven crisis in the EMEs
Stronger dollar and lower oil prices
Faster growth with higher inflation
Misperceived NRU
Financial turbulence

1.3
.8
.8
1.8
1.2
1.2

1.3
.1
.7
1.9
1.2
1.2

1.6
.6
1.2
2.1
1.4
1.5

1.9
1.6
1.7
2.3
1.7
1.9

2.0
1.9
1.8
2.4
1.9
2.0

Federal funds rate1
Extended Tealbook baseline
China-driven crisis in the EMEs
Stronger dollar and lower oil prices
Faster growth with higher inflation
Misperceived NRU
Financial turbulence

.8
.7
.8
1.1
.8
.4

1.4
1.0
1.2
2.1
1.3
.6

2.4
.6
1.8
3.6
2.3
1.4

3.2
1.2
2.5
4.3
3.1
2.3

4.0
2.9
3.4
4.8
3.8
3.4

Risks & Uncertainty

1. Percent, average for the final quarter of the period.

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in the third scenario, recent strong job gains and upbeat consumer confidence signal that
economic activity is stronger than in the baseline; in addition, inflation is more sensitive
to tighter resource utilization. The fourth scenario considers a significantly lower
trajectory for the natural rate of unemployment and illustrates the consequences when
monetary policymakers learn about the lower natural rate only slowly. In the final
scenario, recent financial strains increase and economic activity falls sharply.
The first two scenarios are run in the multicountry SIGMA model, and the third
uses the Board staff’s EDO model. The fourth scenario uses a DSGE model developed
by Board staff economists that features search and matching frictions in the labor market.
The final scenario is implemented using a DSGE model developed by the staff from the
Federal Reserve Bank of New York that explicitly incorporates financial frictions. In
each of the scenarios, the federal funds rate is governed—as in the baseline forecast—by
an inertial version of the Taylor (1999) rule.1 In addition, all scenarios assume that the
size and composition of the SOMA portfolio follow their baseline paths.

China-Driven Crisis in the Emerging Market Economies
In our baseline forecast, we expect reasonably solid Chinese real GDP growth of
6 percent or a little more, which helps allay concerns about a hard landing and contributes
to an eventual stabilization of the renminbi (see the box “Recent Developments in China
and Implications for the Outlook” in the International Economic Developments and
Outlook section). However, given China’s many underlying vulnerabilities—including
high corporate debt, excess capacity in manufacturing, continued property market
problems, and a large and opaque shadow banking system—adverse shocks could trigger
a severe crisis that causes both China’s GDP growth and its currency to plummet, which
have large spillovers to other EMEs.
In this scenario, we assume that such a crisis materializes. GDP growth in China
plunges to around 1 percent this year before recovering, with the level of output falling
depressed to the same extent. The stresses in EMEs also trigger a noticeable rise in
corporate and household borrowing spreads in the United States and AFEs, while flight-

1

Although the form of the policy rule is the same across all models, the concept of the output gap
differs. EDO uses a production-function-based output gap, whereas the other models use a measure of
slack equal to the difference between actual output and the model’s estimate of the level of output that
would occur in the absence of slow adjustment of wages and prices.

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Risks & Uncertainty

7 percent below the baseline by the middle of next year. GDP in other EMEs is

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Forecast Confidence Intervals and Alternative Scenarios
Confidence Intervals Based on FRB/US Stochastic Simulations
Extended Tealbook baseline
China−driven crisis in the EMEs

Stronger dollar and lower oil prices
Faster growth with higher inflation

Real GDP

Misperceived NRU
Financial turbulence

Unemployment Rate
4-quarter percent change

Percent
5

7.5
7.0

4

6.5

70 percent
interval

6.0
3
5.5
5.0

2

4.5
1

4.0
3.5

0
3.0
90 percent
interval

2.5

−1

2.0
−2

1.5

2014 2015 2016 2017 2018 2019 2020

2014 2015 2016 2017 2018 2019 2020

PCE Prices excluding Food and Energy

Federal Funds Rate

4-quarter percent change

Percent
4.0

8

3.5

7

3.0

6

2.5

5

2.0

4

Risks & Uncertainty

1.5
3
1.0
2
0.5
1
0.0
0
−0.5
2014 2015 2016 2017 2018 2019 2020

2014 2015 2016 2017 2018 2019 2020

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to-safety flows cause the dollar to appreciate 15 percent and depress term premiums on
government bonds. The EME GDP contraction in our scenario roughly parallels the
EME experience during the Asian and Russian crises of the late 1990s, while the rise in
the dollar is slightly larger than what occurred during the crises of the late 1990s. To
reflect the deeper linkages in global financial markets at present, we have built somewhat
larger disruptions to U.S. financial markets in this scenario than were observed in the late
1990s, at least prior to the Long-Term Capital Management crisis of September 1998.
In this environment, U.S. real net exports decline relative to the baseline in
response to the sharp decline in foreign activity and the substantial appreciation of the
dollar. Real GDP grows at an annual rate of about 1¼ percent in 2016, and the
unemployment rate rises to nearly 5¾ percent in 2017. The appreciation of the dollar and
lower resource utilization push down U.S. core PCE inflation to ½ percent in 2016. The
federal funds rate follows a much shallower path relative to the baseline.

Stronger Dollar and Lower Oil Prices
In our baseline projection, a modest pickup in foreign growth helps support
demand for crude oil and damps further upward pressure on the dollar so that oil prices
rise gradually and the dollar appreciates only slightly over the forecast period. These
developments are expected to help U.S. inflation move toward the Committee’s 2 percent
target by 2018. Nevertheless, even moderately weaker growth abroad may keep global
financial markets focused on downside risks to the foreign economies and monetary
policy divergence with the United States, causing the dollar to rise substantially and oil
prices to continue their descent. In this scenario, we assume that a shortfall in foreign
GDP growth of ½ percentage point per year relative to the baseline causes the dollar to
appreciate 10 percent—mainly by raising the risk premium on foreign currency–
denominated assets—and oil prices to decline 25 percent, about $7 per barrel, relative to
the baseline.

this drag on net exports more than offsets the stimulus to consumption from lower oil
prices, U.S. real GDP expands only 2 percent in 2016, nearly ½ percentage point below
the baseline.2 Greater resource slack, the appreciation of the dollar, and lower oil prices
2

This estimate does not take into account any financial effects of falling oil prices on the oil
industry or nonlinear effects on energy investment as oil prices decline to very low levels. In principle, the

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The stronger dollar and weaker activity abroad depress U.S. real net exports. As

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January 20, 2016

Selected Tealbook Projections and 70 Percent Confidence Intervals Derived
from Historical Tealbook Forecast Errors and FRB/US Simulations
Measure
Real GDP
(percent change, Q4 to Q4)
Projection
Confidence interval
Tealbook forecast errors
FRB/US stochastic simulations
Civilian unemployment rate
(percent, Q4)
Projection
Confidence interval
Tealbook forecast errors
FRB/US stochastic simulations
PCE prices, total
(percent change, Q4 to Q4)
Projection
Confidence interval
Tealbook forecast errors
FRB/US stochastic simulations
PCE prices excluding
food and energy
(percent change, Q4 to Q4)
Projection
Confidence interval
Tealbook forecast errors
FRB/US stochastic simulations

Risks & Uncertainty

Federal funds rate
(percent, Q4)
Projection
Confidence interval
FRB/US stochastic simulations

2015

2016

2017

2018

2019

2020

1.7

2.4

2.0

1.8

1.7

1.6

1.1–2.6
1.6–1.9

.9–4.1
1.1–3.8

-.4–3.6
.5–3.7

-.9–3.3
.4–3.6

...
.1–3.6

...
-.3–3.4

5.0

4.7

4.6

4.6

4.6

4.7

4.9–5.1
5.0–5.0

4.1–5.0
4.1–5.3

3.5–6.0
3.5–5.6

3.2–6.4
3.1–5.7

...
2.9–5.8

...
3.0–6.0

.4

.7

1.7

2.0

2.0

2.1

.3–.7
.3–.5

.1–2.2
-.1–1.5

1.1–3.3
.8–2.7

1.3–3.3
.9–3.0

...
.9–3.1

...
1.0–3.3

1.3

1.3

1.6

1.9

2.0

2.0

1.2–1.8
1.3–1.4

.9–2.0
.6–2.0

1.1–2.4
.7–2.5

...
.9–2.9

...
1.0–3.0

...
1.0–3.1

.2

1.4

2.4

3.2

3.8

4.0

.2–.2

.9–1.9

1.3–3.5

1.7–5.0

2.0–5.9

2.1–6.3

Note: Shocks underlying FRB/US stochastic simulations are randomly drawn from the 1969–2014 set of model equation
residuals. Intervals derived from Tealbook forecast errors are based on projections made from 1980 to 2014 for real GDP
and unemployment and from 1998 to 2014 for PCE prices. The intervals for real GDP, unemployment, and total PCE prices
are extended into 2018 using information from the Blue Chip survey and forecasts from the CBO and CEA.
. . . Not applicable.

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Prediction Intervals Derived from Historical Tealbook Forecast Errors
Historical
Distributions

Forecast Error Percentiles

Q4 Level,
Percent

Unemployment Rate
Historical Tealbook forecasts
revisions

Augmented
Tealbook 1

median
15% to 85%
5% to 95%
data/forecast
range

Q4/Q4,
Percent

PCE Inflation

13

4

11

3

9
2
7
1
5
0

3

2013

2014

2015

2016

2017

2018

1

2013

1980 to 2014
Q4/Q4,
Percent

Real GDP Growth

2014

2015

2016

2017

2018

-1
1998 to 2014
Q4/Q4,
Percent

Core PCE Inflation

4

8

6

3

4
2
2
1
0
0

-2

2013

2014

2015

2016

2017

2018

-4

2013

1980 to 2014

2014

2015

2016

2017

2018

-1
1998 to 2014

Historical Distributions
Real GDP Growth

Annual, Percent
25
median
15% to 85%
5% to 95%
20
2.5% to 97.5%
range

Annual, Percent

PCE Inflation
Annual, Percent

20

16

12

12

12

8

8

4

4

0

0

-4

-4

-8

-8

-8

-12

-12

-12

0
-4

5
0
1980 to
2014

Annual, Percent

4

10

1930 to 1947 to
2014
2014

16

16

8

15

Core PCE Inflation

-16
1930 to 1947 to 1980 to
2014
2014
2014

-16
1930 to 1947 to 1998 to
2014
2014
2014

-16
1930 to 1947 to 1998 to
2014
2014
2014

Note:. See the technical note in the appendix for more information on this exhibit.
1. Augmented Tealbook prediction intervals use 1- and 2-year-ahead forecast errors from Blue Chip, CBO, and CEA to extend the Tealbook prediction
intervals through 2018.

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Unemployment Rate

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January 20, 2016

cause U.S. core inflation to fall to ¾ percent in 2016. The federal funds rate follows a
shallower path than in the baseline, reaching 2.5 percent by the end of 2018.

Faster Growth with Higher Inflation
Although many indicators of spending and production have recently been weak,
the labor market has been quite strong. Moreover, consumer confidence has remained
upbeat in recent months. In this scenario, we assume that these latter indicators are
providing a more accurate reading on the underlying state of the economy. In particular,
strong job gains and solid consumer confidence lead to faster consumer spending growth
that, in turn, spurs production and higher business investment. In addition, we assume
that inflation is more sensitive to resource slack than in the standard version of the EDO
model. This greater sensitivity is consistent with the estimates of some other DSGE
models, such as Smets and Wouters (2007).3 It is also consistent with the view that the
Phillips curve is steeper at higher rates of resource utilization than when economic
activity is relatively weak.4
Real GDP rises 3¾ percent in 2016, compared with 2½ percent in the baseline
projection. The unemployment rate falls rapidly, bottoming out at 4¼ percent by the end
of 2016; it then edges up over the remainder of the forecast period but stays lower than in
the baseline. With resource utilization running tighter and the Phillips curve assumed to
be steeper than in the standard version of the model, inflation rises more than in the
baseline, approaching 2½ percent, on average, in 2019 and 2020. The federal funds rate
rises more steeply, passing 4 percent in 2018 and reaching almost 5 percent in 2020.
Given enough time, this path for the federal funds rate would eventually drive the
unemployment rate up to its assumed natural rate and bring inflation back down to
2 percent. Unemployment does not need to exceed the natural rate to bring inflation back
down—simply returning to the natural rate is enough—because inflation expectations

Risks & Uncertainty

remain anchored throughout the scenario.

financial effects might imply a somewhat greater fall in U.S. GDP, although the implications of
nonlinearities in the relationship between oil investment and oil prices are less clear.
3
Frank Smets and Rafael Wouters (2007), “Shocks and Frictions in US Business Cycles: A
Bayesian DSGE Approach,” American Economic Review, vol. 97 (June), pp. 586606.
4
See, for example, Richard Fisher and Evan Koenig (2014), “Are We There Yet? Assessing
Progress toward Full Employment and Price Stability,” Federal Reserve Bank of Dallas, Dallas Fed
Economic Letter, vol. 9 (13), www.dallasfed.org/assets/documents/research/eclett/2014/el1413.pdf.

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Misperceived Natural Rate of Unemployment
The baseline forecast anticipates that the unemployment rate falls to 4.6 percent
by the end of 2018, with the natural rate of unemployment unchanged at a 5.1 percent
level. This scenario considers the possibility that the natural rate of unemployment falls
1 percentage point over the next few years. The natural rate could be driven lower by a
variety of influences, such as demographic factors, improvements in matching efficiency,
or a deterioration in workers’ bargaining power.
The natural rate of unemployment is estimated with considerable uncertainty, and
it may be difficult for staff or policymakers to gauge such a change in the natural rate
accurately in real time. In this scenario, we assume that the FOMC learns about the
natural rate only gradually from noisy signals of the underlying economic drivers and,
thus, that a considerable gap between the actual and perceived natural rates persists
through the end of 2020. The unemployment rate falls to 4¼ percent by the end of 2018,
still slightly above the actual natural rate but considerably below the perceived natural
rate.
Economic activity is somewhat stronger than in the baseline throughout the
simulation as firms create more jobs and expand production. However, because the
unemployment rate does not fall as much as the true natural rate, there is disinflationary
pressure, and core inflation remains persistently below the baseline through the end of
2020. Despite the lower path for inflation in this scenario, the federal funds rate is only
slightly lower than in the baseline because of policymakers’ misperception of how much
resource slack is present in the economy.

Financial Turbulence
Measures of financial market volatility, such as the VIX, spiked up again recently
amid the unease in the stock market. Meanwhile, corporate bond spreads have continued
to climb since mid-2014 and have now reached levels similar to those at the onset of the
uncertainty about both the economic strength of the EMEs and U.S. corporate leverage.
In this alternative scenario, we explore the consequences of a further deterioration in
financial conditions. We assume that household and investor risk aversion rises, pushing
the corporate bond spread 200 basis points above the baseline in the first quarter of 2016,

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Risks & Uncertainty

2001 recession. Market commentary has cited, among other contributing factors,

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roughly one-half the increase observed between 2007 and 2008.5 Spreads then gradually
return to a more normal level. The rise in spreads raises financing costs for firms’ capital
expenditures. In addition, the underlying increase in risk aversion depresses household
spending, further reducing aggregate demand.
Under these circumstances, the economy experiences an outright contraction in
the first quarter of 2016 and grows much more slowly than in the baseline for the rest of
the year. The unemployment rate rises to 5½ percent by the middle of the year before a
gradual recovery begins. Core PCE inflation is only slightly below the baseline because
the model has a fairly high degree of price rigidity. The path of the federal funds rate

Risks & Uncertainty

remains roughly 1 percentage point below the baseline in 2017 and 2018.

5

In the estimated model of the Federal Reserve Bank of New York, which explicitly incorporates
financial market frictions, structural shocks of this magnitude or larger have occurred roughly once every
20 years. However, estimates of the frequency of such rare adverse shocks are highly uncertain.

76 of 94

Authorized for Public Release
Class II FOMC - Internal (FR)

January 20, 2016

Assessment of Key Macroeconomic Risks (1)

Probability of Infation Events
(4 quarters ahead)
Probability that the 4-quarter change in total
PCE prices will be ...

Staff

FRB/US

EDO

BVAR

Greater than 3 percent
Current Tealbook
Previous Tealbook

.01
.02

.02
.04

.04
.03

.05
.05

Less than 1 percent
Current Tealbook
Previous Tealbook

.66
.40

.48
.29

.07
.10

.21
.20

Probability of Unemployment Events
(4 quarters ahead)
Probability that the unemployment rate will ...

Staff

FRB/US

EDO

BVAR

Increase by 1 percentage point
Current Tealbook
Previous Tealbook

.02
.02

.02
.03

.17
.15

.02
.01

Decrease by 1 percentage point
Current Tealbook
Previous Tealbook

.12
.11

.09
.07

.12
.13

.14
.24

Probability that real GDP declines in
the next two quarters
Current Tealbook
Previous Tealbook

Staff

FRB/US

EDO

BVAR

Factor
Model

.02
.02

.01
.01

.05
.04

.06
.03

.23
.18

Note: “Staff” represents stochastic simulations in FRB/US around the staff baseline; baselines for FRB/US, BVAR, EDO, and
the factor model are generated by those models themselves, up to the current-quarter estimate. Data for the current quarter are
taken from the staff estimate for the second Tealbook in each quarter; if the second Tealbook for the current quarter has not yet
been published, the preceding quarter is taken as the latest historical observation.

77 of 94

Risks & Uncertainty

Probability of Near-Term Recession

Authorized for Public Release
Class II FOMC - Internal (FR)

January 20, 2016

Assessment of Key Macroeconomic Risks (2)

Probability that Total PCE Inflation Is above 3 Percent

Probability that Total PCE Inflation Is below 1 Percent

(4 quarters ahead)

(4 quarters ahead)
Probability

Probability
1

1

.8

.8

.6

.6

.4

.4

.2

.2

FRB/US
BVAR

0
1998

2000

2002

2004

2006

2008

2010

2012

2014

0
1998

Probability that the Unemployment Rate Increases 1 ppt

2000

2002

2004

2006

2008

2010

2012

2014

Probability that the Unemployment Rate Decreases 1 ppt

(4 quarters ahead)

(4 quarters ahead)
Probability

Probability
1

1

.8

.8

.6

.6

.4

.4

.2

.2

0
1998

2000

2002

2004

2006

2008

2010

2012

2014

0
1998

2000

2002

2004

2006

2008

2010

2012

2014

Probability that Real GDP Declines in Each of the Next Two Quarters
Probability
1

.8

Risks & Uncertainty

.6

.4

.2

0
1998

2000

2002

2004

2006

2008

2010

2012

2014

Note: See notes on facing page. Recession and inflation probabilities for FRB/US and the BVAR are real-time estimates. See
Robert J. Tetlow and Brian Ironside (2007), "Real−Time Model Uncertainty in the United States: The Fed, 1996−2003,"
Journal of Money, Credit and Banking , vol. 39 (October), pp. 1533−61.

78 of 94

Authorized for Public Release
Class II FOMC - Internal (FR)

January 20, 2016

Appendix
Technical Note on “Prediction Intervals Derived from
Historical Tealbook Forecast Errors”
This technical note provides additional details about the exhibit “Prediction Intervals
Derived from Historical Tealbook Forecast Errors.” In the four large fan charts, the black dotted
lines show staff projections and current estimates of recent values of four key economic variables:
average unemployment rate in the fourth quarter of each year and the Q4/Q4 percent change for
real GDP, total PCE prices, and core PCE prices. (The GDP series is adjusted to use GNP for
those years when the staff forecast GNP and to strip out software and intellectual property
products from the currently published data for years preceding their introduction. Similarly, the
core PCE inflation series is adjusted to strip out the “food away from home” component for years
before it was included in core.)

The prediction intervals around the current and one-year-ahead forecasts are derived from
historical staff forecast errors, comparing staff forecasts with the latest published data. For the
unemployment rate and real GDP growth, errors were calculated for 1980 through 2014, yielding
percentiles of the sizes of the forecast errors. For PCE and core PCE inflation, errors for
1998 through 2014 were used. This shorter range reflects both more limited data on staff
forecasts of PCE inflation and the staff judgment that the distribution of inflation since the mid1990s is more appropriate for the projection period than distributions of inflation reaching further
back. In all cases, the prediction intervals are computed by adding the percentile bands of the
errors onto the forecast. The blue bands encompass 70 percent prediction-interval ranges; adding
the green bands expands this range to 90 percent. The dark blue line plots the median of the
prediction intervals. There is not enough historical forecast data to calculate meaningful
90 percent ranges for the two inflation series. A median line above the staff forecast means that
forecast errors were positive more than half of the time.

Stanley Lebergott (1957), “Annual Estimates of Unemployment in the United States,
1900–1954,” in National Bureau of Economic Research, The Measurement and Behavior of Unemployment
(Princeton, N.J.: Princeton University Press), pp. 213 –41.
1

79 of 94

Risks & Uncertainty

The historical distributions of the corresponding series (with the adjustments described
above) are plotted immediately to the right of each of the fan charts. The thin black lines show
the highest and lowest values of the series during the indicated time period. At the bottom of the
page, the distributions over three different time periods are plotted for each series. To enable the
use of data for years prior to 1947, we report annual-average data in this section. The annual data
going back to 1930 for GDP growth, PCE inflation, and core PCE inflation are available in the
conventional national accounts; we used estimates from Lebergott (1957) for the unemployment
rate from 1930 to 1946.1

Authorized for Public Release
Class II FOMC - Internal (FR)

January 20, 2016

Because the staff has produced two-year-ahead forecasts for only a few years, the
intervals around the two-year-ahead forecasts are constructed by augmenting the staff projection
errors with information from outside forecasters: the Blue Chip consensus, the Council of
Economic Advisers, and the Congressional Budget Office. Specifically, we calculate prediction
intervals for outside forecasts in the same manner as for the staff forecasts. We then calculate the
change in the error bands from outside forecasts from one year ahead to two years ahead and
apply the average change to the staff’s one-year-ahead error bands. That is, we assume that any
deterioration in the performance between the one- and two-year-ahead projections of the outside
forecasters would also apply to the Tealbook projections. Limitations on the availability of data
mean that a slightly shorter sample is used for GDP and unemployment, and the outside
projections may only be for a similar series, such as total CPI instead of total PCE prices or
annual growth rates of GDP instead of four-quarter changes. In particular, because data on
forecasts for core inflation by these outside forecasters are much more limited, we did not
extrapolate the staff’s errors for core PCE inflation two years ahead.

Risks & Uncertainty

The intervals around the historical data in the four fan charts are based on the history of
data revisions for each series. The previous-year, two-year-back, and three-year-back values as
of the current Tealbook forecast are subtracted from the corresponding currently published
estimates (adjusted as described earlier) to produce revisions, which are then combined into
distributions and revision intervals in the same way that the prediction intervals are created.

80 of 94

3.9
3.2
3.8
4.0
3.9

Four-quarter3
2014:Q4
2015:Q4
2016:Q4
2017:Q4
2018:Q4

81 of 94

3.9
2.8
3.4
3.9
3.9

3.4
2.2
2.5
4.2
3.8
3.9

.8
6.1
3.3
1.1
2.0
3.1
4.3
4.2
3.8
3.9
3.9
3.9

01/20/16

2.5
2.1
2.5
2.0
1.9

2.3
1.9
2.4
2.7
1.9
2.2

.6
3.9
2.1
1.7
2.1
2.6
2.7
2.7
1.7
2.1
2.2
2.1

12/09/15

2.5
1.7
2.4
2.0
1.8

2.3
1.2
2.3
2.6
1.9
2.1

.6
3.9
2.0
.4
2.1
2.4
2.7
2.6
1.8
2.0
2.2
2.1

01/20/16

Real GDP

1.1
.4
1.2
1.8
2.0

.1
.7
.8
1.6
1.8
1.8

-1.9
2.2
1.3
.0
.0
1.5
1.6
1.6
1.8
1.8
1.8
1.8

12/09/15

1.1
.4
.7
1.7
2.0

.1
.7
-.1
1.5
1.8
1.7

-1.9
2.2
1.3
.1
-.9
.7
1.5
1.5
1.8
1.8
1.7
1.7

01/20/16

PCE price index

1.4
1.3
1.4
1.7
1.9

1.4
1.3
1.4
1.4
1.7
1.7

1.0
1.9
1.3
1.2
1.4
1.4
1.4
1.4
1.7
1.7
1.7
1.7

12/09/15

Greensheets

1.5
1.3
1.3
1.5
1.8

1.4
1.3
1.3
1.6
1.9

1.4
1.3
1.3
1.3
1.6
1.5

1.0
1.9
1.4
1.2
1.2
1.4
1.3
1.3
1.6
1.6
1.5
1.5

01/20/16

6.2
5.3
4.8
4.6
4.5

-1.3
-.7
-.3
-.1
-.1

-.3
-.4
-.2
-.1
-.1
.0

5.6
5.4
5.1
5.0
4.9
4.8
4.8
4.7
4.7
4.6
4.6
4.6

12/09/15

6.2
5.3
4.8
4.7
4.6

-1.3
-.7
-.3
-.1
.0

-.3
-.4
-.2
-.1
.0
-.1

5.5
5.4
5.1
5.0
4.9
4.8
4.8
4.7
4.7
4.7
4.6
4.6

01/20/16

Core PCE price index Unemployment rate1

Class II FOMC - Internal (FR)

Annual
1.4
1.5
4.1
1.4
4.1
2.4
2014
2.4
1.3
.3
3.4
.3
3.5
2.4
2015
2.5
1.4
2.9
.5
.9
3.5
2.0
2016
2.3
1.6
1.6
3.9
1.7
4.1
2017
2.2
2.2
1.9
1.8
4.0
3.9
1.9
1.9
2018
2.0
1. Level, except for two-quarter and four-quarter intervals.
2. Percent change from two quarters earlier; for unemployment rate, change is in percentage points.
3. Percent change from four quarters earlier; for unemployment rate, change is in percentage points.

3.4
2.9
3.3
4.4
3.9
4.0

.8
6.1
3.4
2.5
2.5
4.2
4.4
4.4
3.8
4.0
4.1
4.0

Quarterly
2015:Q1
Q2
Q3
Q4
2016:Q1
Q2
Q3
Q4
2017:Q1
Q2
Q3
Q4

Two-quarter2
2015:Q2
Q4
2016:Q2
Q4
2017:Q2
Q4

12/09/15

Interval

Nominal GDP

Changes in GDP, Prices, and Unemployment
(Percent, annual rate except as noted)

Authorized for Public Release
January 20, 2016

82 of 94

2.6
2.6
.0
.3
-.5
4.3
114
114

Gov’t. cons. & invest.
Previous Tealbook
Federal
Defense
Nondefense
State & local

Change in priv. inventories2
Previous Tealbook2
85
81

1.8
1.8
.2
-1.4
2.8
2.8

-546
-543
.7
2.3

2.6
3.3
5.5
6.4
-7.2
-7.3

8.2
8.5

3.0
3.0
6.6
4.2
2.1

2.7
2.9
3.2
3.3

2.0
2.1

Q3

49
71

-.3
.5
.4
.3
.6
-.8

-565
-566
-.9
2.1

3.0
4.6
4.7
5.4
-3.0
1.5

6.1
5.0

1.7
2.4
2.4
1.9
1.6

1.3
1.9
2.1
2.8

.4
1.7

Q4

57
79

3.2
3.0
7.3
4.2
12.2
.7

-610
-624
-2.2
5.2

77
87

1.1
1.1
.6
-1.4
3.8
1.4

2.5
2.4
2.0
1.0
3.5
2.8
57
73

-715
-723
.1
8.8

4.5
5.0
5.7
5.8
-.1
1.8

11.1
5.8

3.4
3.6
6.4
2.8
3.1

2.2
2.3
3.9
3.9

2.7
2.7

Q3

-657
-669
.5
7.5

4.2
4.2
5.5
5.0
-.4
1.1

7.0
8.4

8.8
5.7
-.3
1.6
.6
3.0
-3.6
-3.6

3.3
3.6
6.8
2.7
2.9

2.4
2.8
3.6
3.9

2.4
2.6

Q2

3.1
3.4
3.6
2.9
3.1

1.9
1.9
2.8
3.2

2.1
2.1

Q1

2016

81
79

.8
.9
.0
-1.3
1.8
1.3

-747
-749
1.8
5.9

4.2
4.4
4.8
4.8
2.0
3.1

6.1
6.8

3.3
3.5
6.0
2.9
2.9

2.5
2.9
3.5
3.8

2.6
2.7

Q4

84
64

.9
.8
.6
1.9
-1.2
1.1

-805
-791
-2.3
6.6

3.2
3.0
3.0
2.9
3.9
3.6

6.4
8.3

3.1
3.2
4.5
3.0
3.0

1.7
2.1
3.3
3.4

1.8
1.7

Q1

71
49

1.9
1.8
.1
-.9
1.5
3.0

-841
-815
1.1
5.9

3.1
2.9
2.9
2.7
3.7
3.9

7.7
8.1

3.1
2.9
4.5
2.8
2.9

2.4
2.5
3.3
3.1

2.0
2.1

Q2

73
51

1.0
.9
-.1
-1.1
1.4
1.7

-874
-837
1.2
5.5

2.6
2.6
2.5
2.6
3.2
2.9

8.0
7.8

2.8
2.7
4.2
2.5
2.8

2.1
2.2
3.0
2.9

2.2
2.2

Q3

2017

70
46

-.2
.2
-2.7
-3.9
-1.0
1.4

-886
-846
3.7
4.3

2.3
2.5
2.3
2.5
2.7
2.7

6.7
7.0

2.7
2.6
3.9
2.8
2.5

2.2
2.2
2.8
2.8

2.1
2.1

Q4

90
95

1.0
1.2
.4
.0
1.0
1.4

-547
-546
-.4
3.6

2.8
3.4
4.5
4.9
-3.0
-1.9

8.4
8.2

2.5
2.7
4.7
2.7
2.1

1.9
2.1
2.8
3.0

1.7
2.1

20151

68
79

1.9
1.9
2.4
.6
5.2
1.6

-682
-691
.0
6.8

3.1
3.8
4.1
4.6
-.6
.6

8.2
6.7

3.2
3.5
5.7
2.8
3.0

2.3
2.5
3.4
3.7

2.4
2.5

20161

75
52

.9
.9
-.5
-1.0
.2
1.8

-852
-822
.9
5.5

2.8
2.8
2.7
2.7
3.4
3.3

7.2
7.8

2.9
2.8
4.3
2.7
2.8

2.1
2.2
3.1
3.0

2.0
2.0

20171

35
20

.6
.7
-1.3
-1.3
-1.2
1.8

-923
-873
3.2
3.7

2.3
2.5
2.6
2.8
1.3
1.4

5.3
5.4

2.5
2.3
3.9
2.7
2.2

2.2
2.2
2.6
2.5

1.8
1.9

20181

Class II FOMC - Internal (FR)

1. Change from fourth quarter of previous year to fourth quarter of year indicated.
2. Billions of chained (2009) dollars.

-535
-535
5.1
3.0

Net exports2
Previous Tealbook2
Exports
Imports

4.1
4.1
3.5
3.5
6.2
6.2

9.3
9.3

Residential investment
Previous Tealbook

Nonres. priv. fixed invest.
Previous Tealbook
Equipment & intangibles
Previous Tealbook
Nonres. structures
Previous Tealbook

3.6
3.6
8.0
4.3
2.7

3.9
3.9
3.9
3.9

Final sales
Previous Tealbook
Priv. dom. final purch.
Previous Tealbook

Personal cons. expend.
Previous Tealbook
Durables
Nondurables
Services

3.9
3.9

Q2

Real GDP
Previous Tealbook

Item

2015

Greensheets
Changes in Real Gross Domestic Product and Related Items
(Percent, annual rate except as noted)

Authorized for Public Release
January 20, 2016

83 of 94

-148
-148

Change in priv. inventories1
Previous Tealbook1

58
58

-1.1
-1.1
3.2
2.0
5.5
-4.0

-459
-459
10.1
12.0

8.1
8.1
12.0
12.0
-4.0
-4.0

-5.2
-5.2

3.1
3.1
9.3
3.3
2.0

2.0
2.0
3.5
3.5

2.7
2.7

2010

38
38

-3.0
-3.0
-4.0
-4.1
-3.9
-2.3

-459
-459
4.2
3.5

9.0
9.0
9.2
9.2
8.0
8.0

6.0
6.0

1.5
1.5
4.8
.4
1.4

1.5
1.5
2.6
2.6

1.7
1.7

2011

Greensheets

55
55

-2.2
-2.2
-2.1
-3.9
1.0
-2.3

-447
-447
2.2
.3

5.2
5.2
5.5
5.5
4.1
4.1

15.7
15.7

1.3
1.3
7.2
.8
.6

1.7
1.7
2.3
2.3

1.3
1.3

2012

61
61

-2.9
-2.9
-6.8
-7.4
-5.9
-.2

-417
-417
5.2
2.4

4.2
4.2
3.6
3.6
6.5
6.5

3.5
3.5

2.3
2.3
4.6
2.6
1.8

1.9
1.9
2.6
2.6

2.5
2.5

2013

68
68

.4
.4
-.8
-2.9
2.7
1.1

-443
-443
2.4
5.4

5.5
5.5
5.7
5.7
5.0
5.0

5.1
5.1

3.2
3.2
7.5
2.3
2.8

2.6
2.6
3.6
3.6

2.5
2.5

2014

90
95

1.0
1.2
.4
.0
1.0
1.4

-547
-546
-.4
3.6

2.8
3.4
4.5
4.9
-3.0
-1.9

8.4
8.2

2.5
2.7
4.7
2.7
2.1

1.9
2.1
2.8
3.0

1.7
2.1

2015

68
79

1.9
1.9
2.4
.6
5.2
1.6

-682
-691
.0
6.8

3.1
3.8
4.1
4.6
-.6
.6

8.2
6.7

3.2
3.5
5.7
2.8
3.0

2.3
2.5
3.4
3.7

2.4
2.5

2016

75
52

.9
.9
-.5
-1.0
.2
1.8

-852
-822
.9
5.5

2.8
2.8
2.7
2.7
3.4
3.3

7.2
7.8

2.9
2.8
4.3
2.7
2.8

2.1
2.2
3.1
3.0

2.0
2.0

2017

35
20

.6
.7
-1.3
-1.3
-1.2
1.8

-923
-873
3.2
3.7

2.3
2.5
2.6
2.8
1.3
1.4

5.3
5.4

2.5
2.3
3.9
2.7
2.2

2.2
2.2
2.6
2.5

1.8
1.9

2018

Class II FOMC - Internal (FR)

1. Billions of chained (2009) dollars.

2.3
2.3
3.9
3.6
4.6
1.3

Gov’t. cons. & invest.
Previous Tealbook
Federal
Defense
Nondefense
State & local

-12.2
-12.2
-6.0
-6.0
-27.1
-27.1

Nonres. priv. fixed invest.
Previous Tealbook
Equipment & intangibles
Previous Tealbook
Nonres. structures
Previous Tealbook
-395
-395
.8
-6.2

-10.8
-10.8

Residential investment
Previous Tealbook

Net exports1
Previous Tealbook1
Exports
Imports

-.2
-.2
2.5
.2
-.8

-.4
-.4
-2.4
-2.4

-.2
-.2

2009

Personal cons. expend.
Previous Tealbook
Durables
Nondurables
Services

Final sales
Previous Tealbook
Priv. dom. final purch.
Previous Tealbook

Real GDP
Previous Tealbook

Item

Changes in Real Gross Domestic Product and Related Items
(Change from fourth quarter of previous year to fourth quarter of year indicated, unless otherwise noted)

Authorized for Public Release
January 20, 2016

84 of 94

.0
.0

Change in priv. inventories
Previous Tealbook

-.7
-.8

.3
.3
.0
-.1
.1
.3

-.3
-.2
.1
-.4

.3
.4
.5
.6
-.2
-.2

.3
.3

-.9
-.3

-.1
.1
.0
.0
.0
-.1

-.4
-.5
-.1
-.3

.4
.6
.5
.5
-.1
.0

.2
.2

1.2
1.6
.2
.3
.7

1.3
1.9
1.8
2.4

2.7
2.9
2.6
2.8
2.0
2.1
.5
.6
1.0

.4
1.7

Q4

2.0
2.1

Q3

2.2
2.3
3.3
3.3
2.3
2.5
.5
.4
1.4

2.4
2.7
3.0
3.3
2.2
2.5
.5
.4
1.4

.2
.2

.0
-.1

.4
.4
.1
.0
.1
.3

-1.0
-1.0
.1
-1.1

-1.0
-1.3
-.3
-.8
.6
.5
.5
.2
.3
.1

.5
.5
.5
.5
.0
.0

.5
.3

.2
.2
.0
-.1
.1
.2

-1.3
-1.2
.0
-1.3

.6
.6
.6
.6
.0
.0

.4
.2

2.7
2.7

2.4
2.6

.2
.3

Q3

Q2

.0
.2
.1
.3
-.1
-.1

.3
.2

2.1
2.3
.3
.4
1.4

1.9
1.9
2.4
2.7

2.1
2.1

Q1

2016

.1
-.2

.1
.2
.0
-.1
.0
.1

-.7
-.5
.2
-.9

.5
.6
.5
.5
.1
.1

.2
.2

2.2
2.4
.4
.4
1.4

2.5
2.8
3.0
3.2

2.6
2.7

Q4

.1
-.4

.2
.1
.0
.1
.0
.1

-1.2
-.9
-.3
-1.0

.4
.4
.3
.3
.1
.1

.2
.3

2.2
2.2
.3
.4
1.4

1.7
2.1
2.8
2.8

1.8
1.7

Q1

-.3
-.4

.3
.3
.0
.0
.0
.3

-.8
-.5
.1
-.9

.4
.4
.3
.3
.1
.1

.3
.3

2.1
2.0
.3
.4
1.4

2.3
2.5
2.8
2.6

2.0
2.1

Q2

.1
.0

.2
.2
.0
.0
.0
.2

-.7
-.5
.1
-.8

.3
.3
.3
.3
.1
.1

.3
.3

2.0
1.8
.3
.4
1.3

2.1
2.2
2.6
2.5

2.2
2.2

Q3

2017

-.1
-.1

.0
.0
-.2
-.2
.0
.2

-.2
-.2
.4
-.7

.3
.3
.2
.3
.1
.1

.3
.3

1.9
1.8
.3
.4
1.2

2.1
2.2
2.4
2.4

2.1
2.1

Q4

-.2
.0

.2
.2
.0
.0
.0
.1

-.6
-.6
.0
-.6

.4
.4
.4
.5
-.1
-.1

.3
.3

1.7
1.8
.3
.4
1.0

1.9
2.1
2.4
2.5

1.7
2.1

20151

.2
.1

.3
.3
.2
.0
.1
.2

-1.0
-1.0
.0
-1.0

.4
.5
.4
.5
.0
.0

.3
.2

2.2
2.4
.4
.4
1.4

2.2
2.5
2.9
3.1

2.4
2.5

20161

-.1
-.2

.2
.2
.0
.0
.0
.2

-.7
-.5
.1
-.8

.4
.4
.3
.3
.1
.1

.3
.3

2.0
1.9
.3
.4
1.3

2.1
2.2
2.7
2.6

2.0
2.0

20171

-.3
-.3

.1
.1
-.1
-.1
.0
.2

-.2
-.1
.4
-.6

.3
.3
.3
.3
.0
.0

.2
.2

1.7
1.6
.3
.4
1.1

2.2
2.2
2.3
2.2

1.8
1.9

20181

Class II FOMC - Internal (FR)

1. Change from fourth quarter of previous year to fourth quarter of year indicated.

.5
.5
.0
.0
.0
.5

Gov’t. cons. & invest.
Previous Tealbook
Federal
Defense
Nondefense
State & local

.5
.5
.4
.4
.2
.2

Nonres. priv. fixed invest.
Previous Tealbook
Equipment & intangibles
Previous Tealbook
Nonres. structures
Previous Tealbook
.2
.2
.6
-.5

.3
.3

Residential investment
Previous Tealbook

Net exports
Previous Tealbook
Exports
Imports

2.4
2.4
.6
.6
1.2

3.9
3.9
3.3
3.3

Final sales
Previous Tealbook
Priv. dom. final purch.
Previous Tealbook

Personal cons. expend.
Previous Tealbook
Durables
Nondurables
Services

3.9
3.9

Q2

Real GDP
Previous Tealbook

Item

2015

Contributions to Changes in Real Gross Domestic Product
(Percentage points, annual rate except as noted)

Greensheets

Authorized for Public Release
January 20, 2016

.0
.0
3.7
3.7
5.9
5.9
2.1
2.1
-3.1
-3.1

ECI, hourly compensation2
Previous Tealbook2

85 of 94

Business sector
Output per hour
Previous Tealbook
Compensation per hour
Previous Tealbook
Unit labor costs
Previous Tealbook

Core goods imports chain-wt. price index3
Previous Tealbook3
-2.1
-2.0

2.5
2.7
4.1
4.1
1.6
1.3

2.6
2.6

1.6
1.6
1.7
1.7

1.3
1.3
-1.9
-1.8
2.2
2.2
1.4
1.3
1.2
1.2

1.3
1.3

Q3

-3.0
-3.0

-2.4
.5
2.7
3.3
5.1
2.8

2.4
2.4

.2
.2
2.1
2.1

.1
.0
-20.7
-23.5
.3
2.0
1.2
1.2
1.2
1.3

.8
.8

Q4

-3.1
-2.3

1.0
1.5
3.0
3.4
2.0
1.9

2.4
2.4

-1.3
-.1
1.9
2.0

-.9
.0
-38.7
-28.2
-.3
1.7
1.2
1.4
1.0
1.3

-.1
.4

Q1

-2.7
-.9

2.2
2.1
3.1
3.1
.9
.9

2.4
2.4

1.0
2.1
2.0
2.0

.7
1.5
-16.4
3.6
1.6
1.6
1.4
1.4
1.3
1.4

.6
1.5

Q2

.7
1.0

1.8
1.3
3.1
3.1
1.3
1.8

2.4
2.4

2.3
2.3
2.0
2.1

1.5
1.6
6.4
6.0
1.9
1.9
1.3
1.4
1.3
1.4

1.6
1.7

Q4

Greensheets

-.2
.5

2.5
1.3
3.1
3.1
.6
1.8

2.4
2.4

2.2
2.3
2.0
2.1

1.5
1.6
7.0
7.0
1.7
1.7
1.3
1.4
1.3
1.4

1.6
1.7

Q3

2016

1.0
1.2

1.3
1.1
3.3
3.3
2.0
2.2

2.6
2.6

2.3
2.4
2.1
2.2

1.8
1.8
5.6
5.4
1.9
1.9
1.6
1.7
1.6
1.7

2.0
2.0

Q1

1.1
1.2

1.8
1.8
3.1
3.1
1.2
1.3

2.6
2.6

2.3
2.3
2.2
2.2

1.8
1.8
4.4
4.4
1.9
1.9
1.6
1.7
1.6
1.7

1.8
1.9

Q2

1.1
1.2

1.8
1.6
3.1
3.1
1.2
1.5

2.6
2.6

2.3
2.3
2.2
2.2

1.7
1.8
3.8
3.8
2.0
2.0
1.5
1.7
1.5
1.6

1.8
1.8

Q3

2017

1.2
1.2

1.9
1.5
3.1
3.1
1.2
1.6

2.6
2.6

2.3
2.3
2.2
2.2

1.7
1.8
3.7
3.6
2.0
2.0
1.5
1.7
1.5
1.6

1.7
1.8

Q4

-3.2
-3.2

.6
1.4
3.5
3.6
2.8
2.2

2.0
2.0

.4
.4
2.0
2.0

.4
.4
-16.0
-16.8
.3
.7
1.3
1.3
1.2
1.2

1.1
1.1

20151

-1.4
-.4

1.9
1.6
3.1
3.2
1.2
1.6

2.4
2.4

1.0
1.6
2.0
2.0

.7
1.2
-12.6
-4.1
1.2
1.7
1.3
1.4
1.2
1.4

.9
1.3

20161

1.1
1.2

1.7
1.5
3.1
3.2
1.4
1.7

2.6
2.6

2.3
2.3
2.2
2.2

1.7
1.8
4.4
4.3
2.0
2.0
1.6
1.7
1.6
1.7

1.8
1.9

20171

1.2
1.2

1.4
1.5
3.3
3.4
1.8
1.8

2.6
2.6

2.4
2.4
2.3
2.3

2.0
2.0
3.1
2.8
2.0
2.0
1.9
1.9
1.9
1.9

2.0
2.0

20181

Class II FOMC - Internal (FR)

1. Change from fourth quarter of previous year to fourth quarter of year indicated.
2. Private-industry workers.
3. Core goods imports exclude computers, semiconductors, oil, and natural gas.

3.0
3.0
2.5
2.5

Previous Tealbook
Ex. food & energy
Previous Tealbook

2.2
2.2
15.1
15.1
-1.1
-1.1
1.9
1.9
1.8
1.8

PCE chain-wt. price index
Previous Tealbook
Energy
Previous Tealbook
Food
Previous Tealbook
Ex. food & energy
Previous Tealbook
Ex. food & energy, market based
Previous Tealbook

CPI

2.1
2.1

Q2

GDP chain-wt. price index
Previous Tealbook

Item

2015

Changes in Prices and Costs
(Percent, annual rate except as noted)

Authorized for Public Release
January 20, 2016

1.5
1.5
1.8
1.8
1.2
1.2
5.6
5.6
1.3
1.3
-4.2
-4.2
-1.9
-1.9

CPI

Previous Tealbook
Ex. food & energy
Previous Tealbook

ECI, hourly compensation1
Previous Tealbook1

Business sector
Output per hour
Previous Tealbook
Compensation per hour
Previous Tealbook
Unit labor costs
Previous Tealbook

86 of 94

Core goods imports chain-wt. price index2
Previous Tealbook2
2.3
2.3

1.7
1.7
1.2
1.2
-.4
-.4

2.1
2.1

1.2
1.2
.6
.6

1.3
1.3
6.4
6.4
1.3
1.3
1.0
1.0
.7
.7

1.8
1.8

2010

4.3
4.3

.0
.0
.6
.6
.6
.6

2.2
2.2

3.3
3.3
2.2
2.2

2.7
2.7
12.0
12.0
5.1
5.1
1.9
1.9
1.9
1.9

1.9
1.9

2011

.1
.1

-.2
-.2
5.8
5.8
6.0
6.0

1.8
1.8

1.9
1.9
1.9
1.9

1.8
1.8
2.3
2.3
1.2
1.2
1.8
1.8
1.5
1.5

1.9
1.9

2012

-1.1
-1.1

1.6
1.6
-.1
-.1
-1.7
-1.7

2.0
2.0

1.2
1.2
1.7
1.7

1.2
1.2
-2.5
-2.5
.8
.8
1.5
1.5
1.2
1.2

1.6
1.6

2013

.5
.5

-.2
-.2
2.6
2.6
2.8
2.8

2.3
2.3

1.2
1.2
1.7
1.7

1.1
1.1
-6.4
-6.4
2.8
2.8
1.4
1.4
1.2
1.2

1.3
1.3

2014

-3.2
-3.2

.6
1.4
3.5
3.6
2.8
2.2

2.0
2.0

.4
.4
2.0
2.0

.4
.4
-16.0
-16.8
.3
.7
1.3
1.3
1.2
1.2

1.1
1.1

2015

-1.4
-.4

1.9
1.6
3.1
3.2
1.2
1.6

2.4
2.4

1.0
1.6
2.0
2.0

.7
1.2
-12.6
-4.1
1.2
1.7
1.3
1.4
1.2
1.4

.9
1.3

2016

1.1
1.2

1.7
1.5
3.1
3.2
1.4
1.7

2.6
2.6

2.3
2.3
2.2
2.2

1.7
1.8
4.4
4.3
2.0
2.0
1.6
1.7
1.6
1.7

1.8
1.9

2017

1.2
1.2

1.4
1.5
3.3
3.4
1.8
1.8

2.6
2.6

2.4
2.4
2.3
2.3

2.0
2.0
3.1
2.8
2.0
2.0
1.9
1.9
1.9
1.9

2.0
2.0

2018

Class II FOMC - Internal (FR)

1. Private-industry workers.
2. Core goods imports exclude computers, semiconductors, oil, and natural gas.

1.2
1.2
2.3
2.3
-1.8
-1.8
1.4
1.4
1.8
1.8

.4
.4

2009

PCE chain-wt. price index
Previous Tealbook
Energy
Previous Tealbook
Food
Previous Tealbook
Ex. food & energy
Previous Tealbook
Ex. food & energy, market based
Previous Tealbook

GDP chain-wt. price index
Previous Tealbook

Item

Greensheets
Changes in Prices and Costs
(Change from fourth quarter of previous year to fourth quarter of year indicated, unless otherwise noted)

Authorized for Public Release
January 20, 2016

87 of 94

18.7
3.8

Gross national saving rate3
Net national saving rate3
18.5
3.5

-6.2
11.2

3.3
3.8
4.0
5.2
5.2

1.2
17.8

2.8
2.7
3.2
3.4
76.3
76.3

-.1
-.2

59.3
59.7

.6
5.1
5.1
5.1
5.1

Q3

19.0
4.0

-14.0
10.8

1.1
4.5
4.7
5.8
5.7

1.1
17.8

-3.4
-2.0
.5
1.5
76.1
76.4

-.3
-.1

59.4
59.6

.7
5.0
5.0
5.1
5.1

Q4

18.7
3.6

-22.6
10.1

2.0
5.5
4.3
6.3
5.9

1.2
17.4

.6
1.8
.4
1.2
76.0
76.4

-.1
.0

59.5
59.5

.8
4.9
4.9
5.1
5.1

Q1

18.7
3.5

-8.7
9.8

3.1
3.5
2.9
6.4
5.8

1.2
17.4

2.3
2.1
2.9
2.4
76.3
76.6

.1
.3

59.5
59.4

.6
4.8
4.8
5.1
5.1

Q2

2016

18.6
3.4

4.9
9.8

4.3
3.1
2.8
6.3
5.6

1.3
17.2

1.1
1.8
2.5
2.3
76.6
76.8

.4
.6

59.5
59.4

.6
4.8
4.8
5.1
5.1

Q3

18.5
3.2

6.8
9.9

4.2
1.8
2.0
6.0
5.3

1.4
17.2

1.6
2.4
2.2
2.3
76.8
77.0

.7
.8

59.5
59.3

.5
4.7
4.7
5.1
5.1

Q4

18.2
2.8

-4.6
9.7

3.8
3.2
3.5
6.0
5.3

1.4
17.0

2.4
2.5
1.9
1.9
76.9
77.1

.7
.9

59.5
59.2

.5
4.7
4.7
5.1
5.1

Q1

18.1
2.6

-3.3
9.5

3.9
1.9
2.0
5.7
5.1

1.5
17.0

1.6
2.2
1.9
2.2
77.1
77.3

.8
1.0

59.4
59.2

.5
4.7
4.6
5.1
5.1

Q2

2017

18.0
2.5

2.5
9.5

3.9
2.5
2.5
5.6
5.1

1.5
16.9

1.3
1.9
1.9
1.9
77.2
77.4

1.0
1.2

59.4
59.1

.4
4.6
4.6
5.1
5.1

Q3

17.9
2.3

.5
9.4

3.9
2.0
2.3
5.5
5.0

1.5
16.8

1.6
2.2
1.6
2.2
77.3
77.6

1.1
1.3

59.4
59.0

.3
4.6
4.6
5.1
5.1

Q4

Greensheets

19.0
4.0

-7.6
10.8

2.8
3.7
3.8
5.8
5.7

1.1
17.4

-.9
-.5
1.1
1.4
76.1
76.4

-.3
-.1

59.4
59.6

2.7
5.0
5.0
5.1
5.1

20151

18.5
3.2

-5.7
9.9

3.4
3.5
3.0
6.0
5.3

1.3
17.3

1.4
2.0
2.0
2.0
76.8
77.0

.7
.8

59.5
59.3

2.5
4.7
4.7
5.1
5.1

20161

17.9
2.3

-1.3
9.4

3.9
2.4
2.6
5.5
5.0

1.5
16.9

1.7
2.2
1.8
2.1
77.3
77.6

1.1
1.3

59.4
59.0

1.7
4.6
4.6
5.1
5.1

20171

17.5
1.7

2.2
9.3

3.9
2.2
2.3
5.2
5.0

1.6
16.6

1.7
1.9
1.5
1.8
77.7
78.1

1.3
1.5

59.2
58.7

1.3
4.6
4.5
5.1
5.1

20181

Class II FOMC - Internal (FR)

1. Change from fourth quarter of previous year to fourth quarter of year indicated, unless otherwise indicated.
2. Change, millions.
3. Percent; annual values are for the fourth quarter of the year indicated.
4. Percent difference between actual and potential GDP; a negative number indicates that the economy is operating below potential.
Annual values are for the fourth quarter of the year indicated.
5. Percent change, annual rate.
6. Level, millions; annual values are annual averages.
7. Percent change, annual rate, with inventory valuation and capital consumption adjustments.

14.7
11.5

Corporate profits7
Profit share of GNP3

6.1
2.6
2.6
5.0
5.0

1.2
17.1

Housing starts6
Light motor vehicle sales6

Income and saving
Nominal GDP5
Real disposable pers. income5
Previous Tealbook5
Personal saving rate3
Previous Tealbook3

-2.3
-2.3
1.5
1.5
75.9
75.9

-.3
-.5

Industrial production5
Previous Tealbook5
Manufacturing industr. prod.5
Previous Tealbook5
Capacity utilization rate - mfg.3
Previous Tealbook3

GDP gap4
Previous Tealbook4

59.4
59.8

.6
5.4
5.4
5.1
5.1

Employment and production
Nonfarm payroll employment2
Unemployment rate3
Previous Tealbook3
Natural rate of unemployment3
Previous Tealbook3

Employment-to-Population Ratio3
Employment-to-Population Trend3

Q2

Item

2015

Other Macroeconomic Indicators

Authorized for Public Release
January 20, 2016

Greensheets

58.4
61.3
-5.5
-5.5
-5.4
-5.4
-6.1
-6.1
67.1
67.1
.6
10.4
.1
-.7
-.7
5.6
5.6
53.7
10.6
14.6
-1.7

Employment-to-Population Ratio2
Employment-to-Population Trend2

GDP gap3
Previous Tealbook3

Industrial production4
Previous Tealbook4
Manufacturing industr. prod.4
Previous Tealbook4
Capacity utilization rate - mfg.2
Previous Tealbook2

Housing starts5
Light motor vehicle sales5

Income and saving
Nominal GDP4
Real disposable pers. income4
Previous Tealbook4
Personal saving rate2
Previous Tealbook2

88 of 94

Corporate profits6
Profit share of GNP2

Gross national saving rate2
Net national saving rate2
15.2
-.3

18.0
12.0

4.6
2.6
2.6
5.5
5.5

.6
11.6

5.9
5.9
6.0
6.0
72.5
72.5

-4.4
-4.4

58.3
60.9

.8
9.5
9.5
6.2
6.2

2010

16.1
.8

6.8
12.3

3.6
1.7
1.7
5.8
5.8

.6
12.7

2.8
2.8
2.7
2.7
74.4
74.4

-4.2
-4.2

58.5
60.6

2.0
8.7
8.7
6.0
6.0

2011

18.0
2.9

.6
12.0

3.2
5.1
5.1
9.2
9.2

.8
14.4

2.1
2.1
1.5
1.5
74.1
74.1

-4.2
-4.2

58.7
60.2

2.2
7.8
7.8
5.8
5.8

2012

18.1
3.1

4.1
12.0

4.1
-2.9
-2.9
4.4
4.4

.9
15.5

2.3
2.3
1.3
1.3
74.2
74.2

-2.8
-2.8

58.5
60.1

2.5
7.0
7.0
5.4
5.4

2013

18.8
3.9

3.4
11.9

3.9
3.6
3.6
4.7
4.7

1.0
16.4

4.5
4.5
3.4
3.4
76.2
76.2

-.9
-.9

59.2
59.9

2.9
5.7
5.7
5.1
5.1

2014

19.0
4.0

-7.6
10.8

2.8
3.7
3.8
5.8
5.7

1.1
17.4

-.9
-.5
1.1
1.4
76.1
76.4

-.3
-.1

59.4
59.6

2.7
5.0
5.0
5.1
5.1

2015

18.5
3.2

-5.7
9.9

3.4
3.5
3.0
6.0
5.3

1.3
17.3

1.4
2.0
2.0
2.0
76.8
77.0

.7
.8

59.5
59.3

2.5
4.7
4.7
5.1
5.1

2016

17.9
2.3

-1.3
9.4

3.9
2.4
2.6
5.5
5.0

1.5
16.9

1.7
2.2
1.8
2.1
77.3
77.6

1.1
1.3

59.4
59.0

1.7
4.6
4.6
5.1
5.1

2017

17.5
1.7

2.2
9.3

3.9
2.2
2.3
5.2
5.0

1.6
16.6

1.7
1.9
1.5
1.8
77.7
78.1

1.3
1.5

59.2
58.7

1.3
4.6
4.5
5.1
5.1

2018

Class II FOMC - Internal (FR)

1. Change, millions.
2. Percent; values are for the fourth quarter of the year indicated.
3. Percent difference between actual and potential GDP; a negative number indicates that the economy is operating below potential.
Values are for the fourth quarter of the year indicated.
4. Percent change.
5. Level, millions; values are annual averages.
6. Percent change, with inventory valuation and capital consumption adjustments.

-5.6
9.9
9.9
6.2
6.2

2009

Employment and production
Nonfarm payroll employment1
Unemployment rate2
Previous Tealbook2
Natural rate of unemployment2
Previous Tealbook2

Item

Other Macroeconomic Indicators
(Change from fourth quarter of previous year to fourth quarter of year indicated, unless otherwise noted)

Authorized for Public Release
January 20, 2016

89 of 94
-622.9
.3
.6
.4
.2
.2
.2

-548.4
.5
.4
.4
.0
.1
.2

.3
.2
.0
.2
.1

.6

-751.5

-689

3,650
4,342
1,015
610
405
3,326
-692
273

261

576
-4
-120

3,567
4,019
-452
-469

.1
.2
-.1
.2
.0

.4

-850.6

-762

3,790
4,556
1,027
614
413
3,529
-766
274

261

605
0
-120

3,701
4,186
-485
-524

2018

-542.6
.2
.7
.7
.0
.5
.2

-.2
.0
.0
.1
-.1
.0

-567

-569

-508.3

3,440
4,015
957
595
362
3,057
-574
264

254

-16
-154
47

1,027
904
123
123

199

46
56
21

802
924
-123
-123

Q3a

.5
.6
.0
.3
.2

.3

-595.0

-598

3,473
4,080
961
595
366
3,118
-606
263

2015
Q2a

3,356
3,936
957
595
362
2,979
-579
262

100

67
123
73

680
943
-263
-263

Q1a

.2
.3
.0
-.1
.3

-.2

-554.4

-556

3,483
4,048
964
596
368
3,085
-565
263

333

552
-135
-202

766
981
-216
-244

Q4

2016
Q3

257

-77
-17
-30

1,076
952
124
136

257

147
-1
-30

865
982
-117
-112

Q4

272

233
-15
-30

794
982
-189
-183

Not seasonally adjusted

Q2

.8
.6
.5
.1
.2

.4

-627.1

-620

.7
.5
.1
.3
.2

.0

-629.7

-611

.4
.3
.0
.2
.2

.2

-680.3

-647

.4
.3
.0
.1
.2

.1

-702.0

-649

Seasonally adjusted annual rates
3,489
3,515
3,564
3,610
4,115
4,130
4,215
4,264
990
996
1,001
1,004
604
606
605
605
386
391
396
399
3,125
3,133
3,214
3,260
-626
-615
-651
-654
268
270
271
271

240

148
94
-23

724
942
-218
-203

Q1

.3
.2
.0
.1
.1

.3

-769.2

-714

3,629
4,345
1,015
612
403
3,330
-716
273

256

313
15
-30

759
1,057
-298
-307

Q1

.4
.4
.0
.3
.1

-.1

-749.2

-684

3,661
4,347
1,019
612
407
3,328
-686
274

260

-100
-4
-30

1,131
996
134
123

261

130
-1
-30

883
983
-100
-104

Q3

.3
.2
.0
.2
.1

.2

-785.7

-710

3,699
4,411
1,022
612
410
3,389
-712
275

2017
Q2

Greensheets

.1
.1
-.2
.1
.1

.0

-798.9

-715

3,735
4,455
1,020
609
412
3,435
-720
272

263

226
-1
-30

829
1,024
-195
-202

Q4

Class II FOMC - Internal (FR)

1. Other means of financing include checks issued less checks paid, accrued items, and changes in other financial assets and liabilities.
2. Gross saving is the current account surplus plus consumption of fixed capital of the general government as well as government enterprises.
3. HEB is gross saving less gross investment (NIPA) of the federal government in current dollars, with cyclically sensitive receipts and outlays adjusted to the staff’s measure of potential output and the
natural rate of unemployment. The sign on Change in HEB, as a percent of nominal potential GDP, is reversed. Quarterly figures for change in HEB are not at annual rates.
4. Fiscal impetus measures the contribution to growth of real GDP from fiscal policy actions at the general government level (excluding multiplier effects). It equals the sum of the direct contributions
to real GDP growth from changes in federal purchases and state and local purchases, plus the estimated contribution from real consumption and investment that is induced by discretionary policy
changes in transfers and taxes.
a Actual.

Fiscal indicators
High-employment (HEB)
surplus/deficit3
Change in HEB, percent
of potential GDP
Fiscal impetus (FI),
percent of GDP4
Previous Tealbook
Federal purchases
State and local purchases
Taxes and transfers

-609

-588

257

3,513
4,127
988
603
385
3,139
-614
268

199

Cash operating balance,
end of period

771
-58
-285

3,430
3,857
-427
-422

2017

Fiscal year
2016

3,392
3,988
956
594
362
3,032
-597
263

337
-40
142

Means of financing:
Borrowing
Cash decrease
Other1

NIPA federal sector
Receipts
Expenditures
Consumption expenditures
Defense
Nondefense
Other spending
Current account surplus
Gross investment
Gross saving less gross
investment2

3,249
3,688
-439
-439

2015

Unified budget
Receipts
Outlays
Surplus/deficit
Previous Tealbook

Item

Staff Projections of Federal Sector Accounts and Related Items
(Billions of dollars except as noted)

Authorized for Public Release
January 20, 2016

.3
.2
-.7
-.2
-.3
-1.2
-1.2
-1.4
1.0
.2
.1
.3
2.3
1.1
10.9

Consumer prices 2
Total foreign
Previous Tealbook
Advanced foreign economies
Canada
Japan
United Kingdom
Euro area
Germany
Emerging market economies
Asia
Korea
China
Latin America
Mexico
Brazil

90 of 94

2

2.0
2.0
.7
2.3
.0
1.0
-.1
-.2
3.0
2.5
.9
3.1
4.2
2.8
10.1

2.5
2.4
1.8
2.3
1.0
1.8
1.2
1.3
3.1
5.1
5.3
7.2
1.5
3.0
-6.7

Q3
2.0
2.3
1.0
.6
.9
2.2
1.3
1.5
2.9
5.0
4.0
7.0
1.0
2.2
-4.5

1.0
1.0
.1
.8
-.3
-.3
-.1
.3
1.7
.8
1.9
-.2
3.7
2.4
10.3

GDP aggregates calculated using shares of U.S. exports.
Foreign CPI aggregates calculated using shares of U.S. non-oil imports.

2.5
2.5
1.9
2.5
1.7
.9
2.2
2.1
3.0
2.7
1.5
2.6
3.7
2.7
10.2

1.4
1.3
.5
-.3
-.5
2.2
1.6
1.8
2.2
4.0
1.3
7.2
.6
2.5
-8.0

Q2

1.4
1.8
-.1
1.1
-.4
.5
-1.0
-1.0
2.5
1.9
2.1
1.5
3.8
3.0
7.6

2.3
2.6
1.4
1.2
1.0
2.4
1.7
1.7
3.1
4.9
4.1
6.2
1.6
2.5
-2.5

2.0
2.2
.9
1.4
.1
1.7
.8
1.0
2.8
2.3
2.4
2.1
3.8
3.2
6.2

2.6
2.8
1.8
1.8
1.1
2.4
2.0
1.9
3.4
5.1
4.1
6.3
2.1
2.8
-1.0

2.3
2.3
1.3
1.7
.5
2.0
1.4
1.4
2.9
2.6
3.0
2.3
3.7
3.2
6.2

2.8
2.8
2.2
2.3
1.1
2.4
2.2
2.2
3.4
5.0
4.1
6.3
2.2
2.8
-.2

2.4
2.4
1.5
1.8
1.0
2.0
1.5
1.7
3.0
2.7
3.0
2.5
3.7
3.2
6.2

2.9
2.8
2.2
2.3
1.2
2.4
2.3
2.2
3.5
5.0
4.0
6.2
2.3
2.8
.5

2.4
2.4
1.6
1.9
1.2
2.0
1.6
1.7
3.0
2.7
3.0
2.5
3.6
3.2
5.7

3.0
3.0
2.4
2.3
3.2
2.4
2.2
2.1
3.6
4.9
3.8
6.1
2.5
2.7
1.1

2.8
2.8
2.6
2.0
6.5
2.1
1.6
1.7
3.0
2.8
3.0
2.5
3.6
3.2
5.4

2.6
2.6
1.5
2.2
-4.9
2.4
2.2
2.1
3.6
4.9
3.8
6.1
2.5
2.7
1.5

2.5
2.4
1.7
2.0
1.2
2.1
1.6
1.7
3.0
2.8
3.1
2.5
3.6
3.2
5.4

2.8
2.8
1.9
2.1
-.3
2.4
2.2
2.1
3.7
4.9
3.8
6.1
2.6
2.8
1.8

2.5
2.5
1.7
2.0
1.2
2.0
1.6
1.7
3.0
2.8
3.2
2.5
3.6
3.2
5.4

2.9
2.9
2.0
2.0
1.1
2.3
2.2
2.0
3.7
4.9
3.8
6.1
2.7
2.9
2.0

-----------------------------------------Projected----------------------------------------2016
2017
Q4
Q1
Q2
Q3
Q4
Q1
Q2
Q3
Q4

Class II FOMC - Internal (FR)

1 Foreign

1.6
1.8
1.0
-.7
4.4
1.5
2.2
1.4
2.2
4.3
3.3
5.7
.9
2.1
-3.3

Q1

Real
Total foreign
Previous Tealbook
Advanced foreign economies
Canada
Japan
United Kingdom
Euro area
Germany
Emerging market economies
Asia
Korea
China
Latin America
Mexico
Brazil

GDP 1

Measure and country

2015

Foreign Real GDP and Consumer Prices: Selected Countries
(Quarterly percent changes at an annual rate)

Greensheets

Authorized for Public Release
January 20, 2016

91 of 94

3.2
3.2
1.7
2.2
-.3
3.4
2.0
1.6
4.3
4.3
3.2
4.6
4.4
4.3
5.6

Consumer prices 2
Total foreign
Previous Tealbook
Advanced foreign economies
Canada
Japan
United Kingdom
Euro area
Germany
Emerging market economies
Asia
Korea
China
Latin America
Mexico
Brazil
3.4
3.4
2.2
2.7
-.3
4.6
2.9
2.6
4.3
4.5
3.9
4.6
4.0
3.5
6.7

3.3
3.3
1.9
3.1
.3
2.1
.5
2.4
4.7
5.1
2.9
8.6
4.2
4.2
2.5
2.3
2.3
1.3
1.0
-.2
2.6
2.3
2.0
3.1
2.6
1.7
2.0
4.3
4.1
5.6

2.3
2.3
.2
.7
.0
1.0
-1.1
.1
4.3
5.6
2.1
7.9
3.4
3.4
2.6

2012

2 Foreign

2.3
2.3
1.0
1.0
1.4
2.1
.8
1.3
3.3
3.0
1.1
2.9
4.0
3.6
5.9

2.8
2.8
2.2
3.1
2.1
2.8
.6
1.3
3.4
5.3
3.4
7.6
1.6
1.1
2.4

2013

Greensheets

Foreign GDP aggregates calculated using shares of U.S. exports.
CPI aggregates calculated using shares of U.S. non-oil imports.

4.8
4.8
3.1
3.6
3.6
1.8
2.4
4.5
6.6
8.2
6.1
10.0
4.7
4.4
5.7

Real GDP 1
Total foreign
Previous Tealbook
Advanced foreign economies
Canada
Japan
United Kingdom
Euro area
Germany
Emerging market economies
Asia
Korea
China
Latin America
Mexico
Brazil

2011

2.0
2.0
1.1
1.9
2.5
.9
.2
.4
2.6
1.8
1.0
1.5
4.7
4.2
6.6

2.5
2.5
1.6
2.4
-.9
2.8
.9
1.5
3.3
4.9
2.7
7.2
2.0
2.6
-.7

2014

1.5
1.4
.5
1.3
.3
.1
.2
.2
2.2
1.5
1.1
1.5
3.5
2.3
10.4

1.9
1.9
1.1
.5
1.4
1.9
1.6
1.5
2.6
4.6
3.5
6.8
1.0
2.5
-5.6
2.0
2.2
.9
1.5
.3
1.5
.7
.8
2.8
2.4
2.6
2.1
3.8
3.1
6.5

2.6
2.8
1.9
1.9
1.1
2.4
2.0
2.0
3.4
5.0
4.1
6.2
2.1
2.7
-.8
2.5
2.5
1.9
2.0
2.5
2.1
1.6
1.7
3.0
2.8
3.1
2.5
3.6
3.2
5.5

2.8
2.8
2.0
2.1
-.3
2.4
2.2
2.1
3.6
4.9
3.8
6.1
2.6
2.8
1.6

2.5
2.5
1.7
2.0
1.3
2.0
1.6
1.8
3.0
2.8
3.2
2.5
3.6
3.2
5.4

2.9
2.9
1.9
1.8
1.0
2.3
2.1
1.9
3.8
4.8
3.8
6.0
2.9
2.9
2.1

--------------------Projected--------------------2015
2016
2017
2018

Class II FOMC - Internal (FR)

1

2010

Measure and country

Foreign Real GDP and Consumer Prices: Selected Countries
(Percent change, Q4 to Q4)

Authorized for Public Release
January 20, 2016

92 of 94

-442.0
-442.0
-3.0
-3.0
-494.7
185.7
288.0
-102.3
-133.0

2010

-473.2
-473.2
-2.7
-2.7
-537.2
208.8
278.8
-70.0
-144.8

Q3

2011

-496.5
-493.9
-2.7
-2.7
-534.8
194.6
258.6
-64.1
-156.3

-460.4
-460.4
-3.0
-3.0
-548.6
229.0
298.6
-69.5
-140.8

-444.4
-451.0
-2.5
-2.5
-532.3
221.2
288.4
-67.2
-133.3

Q2

-449.7
-449.7
-2.8
-2.8
-536.8
220.8
290.2
-69.4
-133.7

2012

-517.9
-506.1
-2.9
-2.8
-537.3
172.7
237.7
-65.0
-153.2

Q4

Q2

Q3

-600.6
-611.9
-3.3
-3.3
-612.6
160.1
258.7
-98.7
-148.0

-376.8
-376.8
-2.3
-2.3
-478.4
233.6
301.7
-68.1
-132.0

2013

2014

-667.2
-672.8
-3.6
-3.6
-668.8
149.6
264.7
-115.1
-147.9

-389.5
-389.5
-2.2
-2.2
-508.3
247.4
300.5
-53.1
-128.6

-792.4
-783.3
-4.2
-4.1
-764.3
138.2
290.6
-152.4
-166.2

Q1

-813.8
-790.3
-4.3
-4.1
-793.3
127.6
301.2
-173.6
-148.0

Q2

-858.4
-827.7
-4.5
-4.3
-827.7
117.2
314.0
-196.8
-147.9

Q3

-896.5
-856.7
-4.6
-4.4
-846.5
103.3
323.7
-220.4
-153.2

Q4

-639.7
-648.1
-3.5
-3.5
-638.6
152.8
260.6
-107.9
-153.9

-840.3
-814.5
-4.4
-4.2
-808.0
121.6
307.4
-185.8
-153.9

-958.6
-906.3
-4.8
-4.5
-882.3
77.6
356.5
-278.8
-153.9

--------------------Projected--------------------2015
2016
2017
2018

-713.6
-720.5
-3.8
-3.8
-703.5
143.1
276.3
-133.2
-153.2

Q4

-483.0
-481.1
-2.7
-2.7
-535.4
199.3
265.9
-66.6
-146.9

Billions of dollars

Annual Data

-577.6
-587.2
-3.2
-3.2
-569.7
158.3
242.9
-84.6
-166.2

Billions of dollars, s.a.a.r.

Q1

-----------------------------------------Projected----------------------------------------2016
2017

Class II FOMC - Internal (FR)

U.S. current account balance
Previous Tealbook
Current account as percent of GDP
Previous Tealbook
Net goods & services
Investment income, net
Direct, net
Portfolio, net
Other income and transfers, net

U.S. current account balance
Previous Tealbook
Current account as percent of GDP
Previous Tealbook
Net goods & services
Investment income, net
Direct, net
Portfolio, net
Other income and transfers, net

Q1

2015

Quarterly Data

U.S. Current Account

Greensheets

Authorized for Public Release
January 20, 2016

Authorized for Public Release

Abbreviations
ABS

asset-backed securities

AFE

advanced foreign economy

BHC

bank holding company

BOC

Bank of Canada

BOE

Bank of England

BOJ

Bank of Japan

CDS

credit default swaps

C&I

commercial and industrial

CMBS

commercial mortgage-backed securities

CPI

consumer price index

CRE

commercial real estate

Desk

Open Market Desk

DSGE

dynamic stochastic general equilibrium

ECB

European Central Bank

EME

emerging market economy

EU

European Union

FOMC

Federal Open Market Committee; also, the Committee

GCF

General Collateral Finance

GDP

gross domestic product

GO

general obligation

IP

industrial production

LMCI

labor market conditions index

M&A

mergers and acquisitions

MBS

mortgage-backed securities

MERS

Middle East Respiratory Syndrome

ON RRP

overnight reverse repurchase agreement

PCE

personal consumption expenditures

PMI

purchasing managers index

Authorized for Public Release

PPI

producer price index

repo

repurchase agreement

RRE

residential real estate

RRP

reverse repurchase agreement

SLOOS

Senior Loan Officer Opinion Survey on Bank Lending Practices

SOMA

System Open Market Account

S&P

Standard & Poor’s

TIPS

Treasury Inflation-Protected Securities