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VOL. 6, NO. 10
OCTOBER 2011­­

EconomicLetter
Insights from the

FEDERAL RESERVE BANK OF DALL AS

Did Speculation Drive Oil Prices?
Futures Market Points to Fundamentals
by Michael D. Plante and Mine K. Yücel

The data are
consistent with how a
well-functioning futures
market would behave,
initially when there is
tightness in the market,
and later when there is
considerable slack due to
the global recession.

Oil market speculation became an especially popular topic when the
price of crude tripled over 18 months to a record high $145 per barrel
in July 2008. Of particular interest to many is whether speculators drove
oil prices beyond what fundamentals would have otherwise justified. We
explore this issue over two Economic Letters. In this article, we look for evidence in the futures market that would signal speculation primarily drove
prices. In our companion Economic Letter, we examine the physical market.

T

here are several methods of speculation that could unduly affect
the price of a commodity such as oil. Speculators can buy oil in
the spot market and hoard it. Alternatively, they could purchase significant
numbers of futures contracts, which would push up futures prices and,
indirectly, prompt other market participants to hoard oil. Finally, producers
themselves could speculate by withholding output, hoping to jolt prices
higher.
Each of these means of speculation would leave telltale signs in certain data, such as inventories. On the other hand, if fundamentals drove
speculative activity and prices, the signs should be different.
We reviewed various pieces of evidence, such as the behavior of
inventories, supply and demand data, and macroeconomic variables, to
see whether they support one hypothesis over the other. After examining
futures-market-related data, it appears that fundamentals drove speculative
activity and prices—rather than speculation dictating prices. A separate
analysis of the cash, or “physical,” market presented in our companion
Economic Letter produces similar findings.
Chart 1 shows the nominal price of West Texas Intermediate (WTI)
crude oil. After bouncing around $20 per barrel throughout the 1990s,

prices trended upward after 2000.
They almost doubled from $54 to $93
in 2007, followed by another jump to
the record daily high of $145 in July
2008. Amid the global recession, they
collapsed to $40 at the end of 2008.
The near tripling of oil prices in a

year and a half and the subsequent
drop sparked much discussion about
speculation.
An increase in the number of noncommercial traders in the oil futures
market prompted this discussion.
Noncommercials now average about
40 percent of open interest (the proportion of futures contracts for
which delivery hasn’t been made)
for New York Mercantile Exchange
(NYMEX) West Texas Intermediate
crude-oil futures contracts. That compares with 10 to 15 percent in 2000
(Chart 2).
Just who are the noncommercials
and what do they do? In any futures
market, some participants, such as
producers or users of a commodity,
want to hedge positions, and others
solely seek monetary gain. The hedgers are termed “commercials,” while
those solely seeking monetary gain are
termed “noncommercials,” or “speculators.” Despite being lumped together,
this group is made up of many different participants, including hedge funds
and commodity index investors.
In a literal sense, speculators bet
on where the price of the commodity

Chart 1

Oil Prices Volatile
Dollars per barrel (monthly average)
160
Record daily high: $145

140
120
100
80
60
40

West Texas Intermediate
crude oil

20
0
’92 ’94 ’96 ’98 ’00 ’02 ’04 ’06 ’08 ’10
SOURCE: Wall Street Journal.

Chart 2

Noncommercial Contracts Rise Dramatically
Number of contracts (millions)
3.5
3
2.5
2

Commercial
and nonreported

1.5
1
Noncommercial

.5
0

’96

’98

’00

’02

’04

’06

’08

’10

SOURCE: Commodity Futures Trading Commission.

EconomicLetter 2

F EDERA L RE SERVE BANK OF DALL AS

will go. If they are correct, they make
a profit. In the grander scheme of
things, however, speculators perform
an economic function by making the
market more liquid, acting as additional buyers and sellers, thus facilitating transactions and improving market
efficiency.
This function is useful because
there will always be a mismatch
between hedgers going long (those
who want to buy) and hedgers going
short (those who want to sell). This
can be due to a mismatch in quantity—for example, more participants
who want to go short than long. It
can be due to a mismatch in timing—
a hedger who wants to go long is
unable to find a corresponding hedger
who wants to go short at a particular
time. It can also reflect a mismatch of
the duration of the desired contracts—
long hedgers may be interested in
buying a six-month contract, but short
hedgers may want to sell one-month
contracts. In such cases, speculators
can fill the void and correct these
mismatches and improve market efficiency.
Chart 3 tracks the positions
taken by noncommercials over time.
Contrary to popular opinion, speculators do not, as a whole, go only short
or long. There are large numbers of
both long and short contracts, as well
as spreading positions, which occur
when a trader has an equal number of
long and short positions.1 An increase
in spreading positions dominates the
growth in both short and long positions. It is possible that the explosive
growth in spreading positions is due to
noncommercials taking different positions across the maturity structure—for
example, going short in near months
while going long in distant months.
Linking Futures and Spot Markets
A central question is: How could
“speculative” futures market activity
translate into higher spot market prices?
Spot prices are determined in the
cash market where transactions are
settled with oil physically changing

hands. Consequently, there is no transmission mechanism tying futures prices
to spot prices until transactions occur
in the spot market. If futures markets
work properly, arbitrage between selling today and in the future links spot
and futures prices. For storable commodities, such as oil, it also connects
those prices with inventories.
To see how this works, consider
the following: Suppose a barrel of oil
could be sold today at the spot price,
S, or in the future for the futures price,
F. If the owner sells now, he receives
an immediate payment of S. In addition, that money could be invested
and earn interest income, I. The owner
also avoids the storage costs, C, that
would be paid if the oil were sold in
the future. At a minimum, the futures
price must compensate the owner for
the lost income from selling today,
plus the lost interest income, and for
storage costs.2
Based on this, we can link futures
and spot prices:

interest income—and inventories
should be abundant. In certain situations, such as when demand is temporarily high or supply temporarily low,
the spot price will be higher than the
futures price, and inventories will be

Chart 3

Noncommercial Spreading Positions Rise Over Time
Number of contracts (millions)
1.6
1.4
1.2
Spreads

1

Shorts
Longs

.8
.6
.4
.2
0

F = S + I + C.
This equation does not hold
perfectly in the real world, but it provides useful intuition about prices and
inventories. For example, sometimes
the futures price will be significantly
higher than what this equation says it
should be. When this occurs, sellers
are receiving an unusually large premium to sell in the future as opposed
to the present. Market participants will
respond by choosing to sell more in
the future and less today. Over time,
this should prompt inventories to rise,
spot prices to increase and futures
prices to decrease. This continues until
futures and spot prices are in line with
the equation. When futures prices are
below what this equation says they
should be, market participants receive
the opposite signal and respond by
selling more today instead of in the
future.
In short, during normal times, the
futures price should be higher than the
spot price—with the premium roughly
equaling the cost of storage and lost

relatively low.
Chart 4 uses actual data since
2004 for the NYMEX West Texas
Intermediate futures contract to show
the relationship between inventories
at Cushing, Okla., (where WTI spot

’86

’88

’90

’92

’94

’96

’98

’00

’02

’04

’06

’08

’10

SOURCE: Commodity Futures Trading Commission.

Chart 4

Oil Price Spread Varies with Inventory Levels
(Six-month future prices – spot prices)
Spread in dollars
20

15

10

5

0

–5

–10

0

5

10

20
30
15
25
35
Inventories at Cushing, Okla. (millions of barrels)

NOTE: Data are weekly for inventories and prices.
SOURCES: Wall Street Journal; U.S. Energy Information Administration.

F EDERAL RESERVE BANK OF DALL AS

3 EconomicLetter

40

45

50

market, and later when there is considerable slack due to the global recession.
Futures market traders, therefore, seem
to have been routine market participants.

Chart 5

Cushing, Okla., Inventories and Six-Month Spread
Illustrate Recession Impact
Inventory (millions of barrels)

Spread in dollars
20

45
Spread > $8.50

40

15

35

Notes
1

Cushing inventory

30

Plante is a research economist and Yücel is a
senior economist and vice president at the Federal
Reserve Bank of Dallas.

10

25
5
20

speculator goes long in the three-month contract
but short in the six-month one (betting prices will
go up in the short term and down longer term).
2

0

15
10

–5
5
0

Six-month spread
2004

2005

2006

2007

2008

2009

2010

2011

In an example of such a spreading position, a

There may be other costs and/or benefits than

those listed here that accrue from selling in the
future as opposed to the past. More complicated
theories attempt to explicitly model these.

–10

SOURCES: Wall Street Journal; U.S. Energy Information Administration.

prices are determined) and the spread,
or difference, between the price of
the six-month futures contract and
the spot price. When inventories are
relatively low, the spot price tends to
exceed the six-month futures price,
and the spread is negative. When
inventories are high, the spot price
tends to be below the futures price,
and the spread moves into positive
territory. Specifically, once inventories exceed roughly 22 million barrels, there are no instances where the
spread is negative.
Several outliers appear in the
chart where the spread is relatively
large. One might view this as a sign
of potential excessive speculation, but
looking at inventories and how the
spread evolves over time, a different
picture emerges (Chart 5). The shaded
bars indicate the periods when the
outliers occurred. The bulk of the outliers were in late 2008 and early 2009,
when the world economy was in
recession. The likely explanation for
the abnormal spread is the unexpectedly low demand that occurred then,
causing the spot price to plunge.

Perhaps more importantly, most
of the data for 2007 and 2008 point to a
persistent tightness in the crude-oil market. Inventories were relatively low and
the spread negative during most of that
period. If speculation in the futures market was responsible for the price hike,
very large positive spreads would have
been followed by significant increases in
inventories. Instead, the data are in line
with what the theory predicts we should
see when market tightness and a reasonably well-functioning futures market
exist.
Normal Market Behavior
Activity in the crude oil futures
market increased appreciably in the past
decade, as did the number of noncommercial traders, the so-called speculators. This coincided with rising oil prices
but didn’t necessarily cause them. No
transmission mechanism linking futures
prices to spot prices appears until
transactions occur in the spot market.
Looking at the 2007–09 period, the data
are consistent with how a well-functioning futures market would behave,
initially when there is tightness in the

EconomicLetter

is published by the
Federal Reserve Bank of Dallas. The views expressed
are those of the authors and should not be attributed
to the Federal Reserve Bank of Dallas or the Federal
Reserve System.
Articles may be reprinted on the condition that
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Dallas.
Economic Letter is available free of charge by
writing the Public Affairs Department, Federal Reserve
Bank of Dallas, P.O. Box 655906, Dallas, TX 752655906; by fax at 214-922-5268; or by telephone at
214-922-5254. This publication is available on the
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