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Federal Reserve Bank San Francisco | Monetary Policy and Asset Markets: Conference Summary |

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FRBSF ECONOMIC LeTTer
2008-21

July 11, 2008

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Monetary Policy and Asset Markets: Conference Summary
Richard Dennis
Monetary policy shifts and the term structure
Learning about risk and return: bubbles and crashes
Expectations, real exchange rates, and monetary policy
Housing market spillovers
Bond positions, expectations, and the yield curve
Conference papers
This Economic Letter summarizes the papers presented at a conference on “Monetary Policy and Asset
Markets” held at the Federal Reserve Bank of San Francisco on February 22, 2008. The papers are listed
at the end and are available online.
At this year’s conference, academic researchers and policymakers gathered to discuss five research
papers that address the role of asset markets in the economy and their importance for the conduct and
implementation of monetary policy, a particularly pertinent topic, given the ongoing developments in
U.S. financial markets. Among other things, asset markets provide a source for financing investment
and consumption, they facilitate diversification of risk, and they represent an important source of
information on expectations about future price movements and about future monetary policy actions.
One of the papers focused on extracting information on policy changes from the interest rate term
structure and on whether investors value those policy changes or view them as an additional source of
risk to be hedged. Another paper examined the extent to which subjective expectations may explain
certain asset price puzzles. A third paper looked at the housing sector, quantifying the factors that drive
residential investment and the extent to which housing sector developments can spill over to the
broader economy. A fourth paper studied asset price bubbles, showing how investors’ need to learn
about an asset’s risk and return characteristics can generate recurrent bubbles and crashes. A fifth
paper analyzed whether shocks to expectations in currency markets create a role for a central bank
stabilizing its exchange rate.
Monetary policy shifts and the term structure

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Federal Reserve Bank San Francisco | Monetary Policy and Asset Markets: Conference Summary |

Much empirical evidence suggests that monetary policy in the U.S. has changed in important ways over
the postwar period. One prominent example of such a change is the tighter monetary policy that
followed Paul Volcker’s appointment to Chairman of the Federal Reserve, which is widely accepted to
have lowered inflation during the early 1980s. Evidence also suggests that a change in monetary policy
may have played an important role in the lower inflation and output volatility that the economy has
experienced since the mid-1980s. Of course, in addition to affecting aggregates like output and inflation,
changes in monetary policy affect asset prices and the term structure of interest rates. In fact, since
short-term and long-term interest rates are connected by investor behavior, the interest rate term
structure might usefully provide valuable information on the nature and importance of monetary policy
changes.
To harness this information from the term structure, Ang, Boivin, and Dong estimate a monetary policy
rule for the U.S. together with a model of the interest rate term structure. Their approach allows them
to determine more accurately the policy changes that have taken place over the past 50 years and to
quantify how these policy changes have affected the risk premium associated with holding long-term
nominal bonds. Importantly, if investors dislike the risk associated with policy changes, then they will
demand greater compensation to hold long-term bonds, implying a higher risk premium.
The authors find that monetary policy has indeed changed in important ways that are consistent with
previous studies. For example, they find that the Federal Reserve responded to inflation shocks more
aggressively during the 1980s and 1990s than it did during the 1970s. Interestingly, they also find that
investors are generally willing to pay–rather than be paid–to be exposed to monetary policy changes,
implying that investors value the policy changes that have occurred.
Learning about risk and return: bubbles and crashes
Many believe that prices for assets like stocks can depart in important ways from the fundamental
factors, such as profits, that should determine their value. These departures from fundamentals can be
prolonged and lead to increases and falls in asset prices that are popularly referred to as bubbles and
crashes. For example, the run-ups in stock prices that ended abruptly in 1987 and 2000 are each
consistent with bubbles that drove prices above their fundamentals and that then crashed. Researchers
studying asset price bubbles often associate them with periods when investors appear willing to accept
lower compensation for holding risk, with the crash then occurring once investors become more cautious
and demand greater compensation for risk.
Although theories of risk-neutral “rational” investors can generate asset price bubbles, they have
difficulty explaining their subsequent crashes, often attributing them to forces that are external to the
theory. In contrast, Branch and Evans analyze asset price behavior from the perspective of investors
who must learn and who are risk-averse. Specifically, in their model, investors must use historical data
on an asset’s price to estimate the return and, critically, the risk associated with holding that asset.
Using a theory of empirical learning that assumes investors favor recent over older data, these authors
show that occasional shocks to fundamentals may cause investors to lower their estimate of risk and
raise their estimate of return, causing stock prices to rise above fundamentals. They show that, as stock
prices increase, so too do investor estimates of perceived riskiness, until demand for stocks collapses
and the bubble crashes.
Expectations, real exchange rates, and monetary policy
The role that exchange rates play in the conduct of monetary policy is a key issue, especially for small
open economies for which the tradable goods sector is often large. Policy-induced movements in interest
rates, for instance, can change the external value of the currency, which, if prices of some goods are
sticky, can alter how a country allocates its expenditure between domestically produced and imported
goods. This mechanism provides an additional channel through which a central bank can stimulate or

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Federal Reserve Bank San Francisco | Monetary Policy and Asset Markets: Conference Summary |

damp aggregate demand. Although the exchange rate’s role as a channel through which monetary
policy can operate is clear, it is less clear whether central banks should respond to exchange rate
movements or actively seek to damp fluctuations in the currency.
Devereux and Engel argue that a case can be made for a central bank responding to and stabilizing the
exchange rate. They argue that the relative price of any two nondurable goods should ideally be
unaffected by perceptions of future fundamentals. For instance, even though one might expect a
technological innovation to make one good relatively cheaper to produce tomorrow, leading to the
expectation that its relative price will be lower tomorrow, ideally this expectation should not change its
relative price today. But since exchange rates move primarily in response to news that alters
expectations about the future, when nominal prices are sticky, news shocks can create relative price
changes that are undesirable. As a consequence, Devereux and Engel suggest that a monetary policy
that can offset, or mitigate, the effects of news shocks emanating through the exchange rate can
potentially raise welfare.
Housing market spillovers
Many of the central issues and concerns facing the economy today are related to the housing sector.
Over the past seven or eight years, residential investment first surged at a faster rate than usual and
then collapsed as demand for housing first faltered and then crashed. While some believe that the low
interest rates that followed the collapse of the “dot-com” bubble may have helped spur the housing
sector, implying that the housing sector responds passively to macroeconomic developments, it is also
possible that the housing sector could be an increasingly important driver of the business cycle.
To help understand the role of the housing sector in the business cycle, Iacoviello and Neri develop a
model that explicitly introduces a housing sector, which governs the production of new homes, and a
market for loans, secured against house values, into an otherwise quite standard New Keynesian
business cycle model. They examine the nature of the shocks hitting the housing sector and analyze
whether any spillovers from housing sector developments to the wider economy are big. Estimating their
model on U.S. data over the period 1965:Q1-2006:Q4, they find that shocks to housing supply and
demand each explain roughly 25% of the cyclical volatility of residential investment while monetary
factors explain about 20%. They also find that it was faster technological progress in the nonhousing
sector that drove up house prices during the 1970s, but that the recent boom and bust in residential
investment growth “was driven in non-negligible part by monetary factors.” With respect to housing
sector spillovers, for the period following the reforms to the mortgage market that occurred in the
1980s, they find that fluctuations emanating from the housing sector have accounted for about 12% of
the variation in consumption growth.
Bond positions, expectations, and the yield curve
Standard asset pricing models suggest that an asset’s price should depend on its expected return and
on how those returns are expected to covary with consumption. For a given expected return, an asset
that is expected to provide a higher return in situations when consumption is low provides a form of
insurance that households value and are prepared to pay a premium for. This consumption-based
approach to valuing assets has given rise to a number of important asset pricing puzzles, including the
famous equity premium puzzle that describes the apparent excess return to holding stocks. These asset
price puzzles challenge our understanding of how assets, such as bonds, should be valued.
One key assumption in this literature is that expectations are formed rationally, which is to say that the
people forming expectations about returns, etc., get things right on average and do not make
systematic forecasting errors. It is possible, however, that expectations are not rational. In that case,
what appear to be asset pricing puzzles may instead simply reflect the subjective beliefs of investors
rather than a fundamental failure of asset pricing theory.

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Federal Reserve Bank San Francisco | Monetary Policy and Asset Markets: Conference Summary |

To investigate the importance of subjective expectations for asset prices, Piazzesi and Schneider study
evidence on expected returns from the Blue Chip and Goldsmith-Nagan surveys. Analyzing these
surveys, they find systematic differences between subjective and objective interest rate expectations,
differences that have material implications for bond prices and the excess return to holding bonds.
Moreover, they find survey-based expected excess returns to be smaller and less countercyclical than
other measures of expected excess returns. Building a statistical model that explains jointly interest
rates and inflation and investors’ subjective beliefs about these variables, Piazzesi and Schneider are
able to explain why subjective risk premia are significantly less volatile than objective risk premia.
Richard Dennis
Senior Economist
Conference papers
Ang, Andrew, Jean Boivin, and Sen Dong. 2008. “Monetary Policy Shifts and the Term Structure.”
University of Columbia, manuscript.
Branch, William, and George Evans. 2008. “Learning about Risk and Return: A Simple Model of Bubbles
and Crashes.” University of Oregon Working Paper 2008-1.
Devereux, Michael, and Charles Engel. 2008. “Expectation, Real Exchange Rates, and Monetary Policy.”
University of Wisconsin, manuscript.
Iacoviello, Matteo, and Stefano Neri. 2008. “Housing Market Spillovers: Evidence from an Estimated
DSGE Model.” Boston College Working Paper 659.
Piazzesi, Monika, and Martin Schneider. 2008. “Bond Positions, Expectations, and the Yield Curve.”
University of Chicago, manuscript.
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Opinions expressed in FRBSF Economic Letter
do not necessarily reflect the views of the
management of the Federal Reserve Bank of
San Francisco or of the Board of Governors of
the Federal Reserve System. This publication is
edited by Sam Zuckerman and Anita Todd.
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