By
Hilary Till, Joseph Eagleeye
Co-founders of Premia Capital Management LLC
December 2005
The recent outperformance of commodities
versus equities has caused a positive re-evaluation
of commodities by both retail and institutional
investors. Since December 2001, the annualised
performance of commodities as represented
by the Goldman Sachs Commodity Index (GSCI)
has been +26.2% while the annualised performance
of equities as represented by the S&P
500 equity index has been +3.8%. See Figure
1.
Figure 1
Data Source: The Bloomberg.
The positive performance of the GSCI has
largely been due to the following two factors:
(1) adverse supply shocks resulting from
the aging energy infrastructure in the US
and Europe, and (2) expanding demand, particularly
from China. These factors may well continue
to boost the returns from investing in a
commodity futures programme.
As discussed in Till and Gunzberg (2005),
if an investor elects to invest in a commodity
index product, then that investor realises
that he or she will earn the inherent return
of the asset class, will be able to do so
cheaply, but will not be provided with any
downside risk protection. It will be the
responsibility of the investor to either
time their investments in commodity indices,
or create a properly balanced overall portfolio,
so as to avoid downside risk.
Instead, if the investor chooses an actively
managed commodity programme, then that investor
expects the potential downside of this investment
to be carefully managed.
Risk Premia Strategies
Some active programmes obtain their returns
through the careful exploitation of time-varying
risk premia in the commodity markets. For
example, Figure 2 illustrates an active
portfolio's exposure to various commodity
sectors and fixed income during the first
eight months of 2004.
Figure 2
Exposures to Time-Varying Risk Premia in
the Commodity Markets
Click on the graph for enlarged preview
This graph illustrates
Premia Capital's rolling exposures
in energies, metals, US fixed income,
livestock, and agriculture during
the first eight months of 2004. More
technically, the graph shows the conventional
benchmarks that were most effective
in jointly explaining Premia's daily
return variance using an advanced
returns-based-analysis technique.
The benchmarks are
the Goldman Sachs (GS) Commodity sector
excess return (ER) indices and a Bloomberg
US fixed-income index. The graph's
y-axis is the fraction of R-squared
that can be attributed to a benchmark
exposure. This is also known as the
benchmark's variance component. The
middle chart shows each benchmark's
contribution to R-squared over the
whole history. Source: PRISM ANALYTICS,
http://www.prismanalytics.com.
Source: Till (2005).
We have found that the most important element
in an investment programme that exploits
the risk premia available in the commodity
futures markets is its risk management methodology.
In the interests of brevity, we will focus
on only one aspect of risk management:
the avoidance of inadvertent concentration
risk.
Avoidance of Inadvertent Concentration
Risk
Ideally a commodity portfolio manager will
attempt to create a portfolio of diversified
commodity strategies in order to dampen
risk. According to hedge fund manager Paul
Touradji, "One of the best things about
being a commodity manager is the natural
internal diversification." "While
even unrelated equities have a beta to the
overall market, many commodities, such as
sugar and aluminum, traditionally have no
correlation at all," according to Teague
(2004) in his interview with Touradji.
Seasonally Varying Correlations Due
to the Weather
One might expect that the price of natural
gas should not be correlated to the
prices of either corn or hogs. But in reviewing
Figures 3, 4, and 5 from the summers of
1999, 2001, and 2005, one might question
that expectation.
Figure 3
Panel A
Panel B
Data Source: The Bloomberg.
Figure 4
Data Source: The Bloomberg.
Figure 5
Data Source: The Bloomberg.
It turns out that the prices of natural
gas, corn, and hogs all depend on the outcome
of weather in the US Midwest during the
summer. An exceptional heat-wave in the
Midwest can impair corn pollination prospects
as well as stress the delivery of adequate
natural gas supplies for peak air-conditioning
demand. Also, the delivery of hogs to market
can be curtailed during heat-waves because
the animals may get too stressed during
transit. Because each of these commodity
markets have common reactions to the possibility
of extreme heat, their prices tend to wax
and wane at similar times during the summer.
If a commodity portfolio manager does not
want to own too much risk to the outcome
of summer Midwest weather, then it would
be prudent for the manager to examine how
the portfolio would do during times of both
extreme and normal weather during the US
summer, especially if the portfolio includes
natural gas, corn and hogs.
Seasonally Varying Correlations Due
to Chinese Holidays
One might expect that the price of crude
oil should not be correlated to the prices
of either soybeans or copper. But in reviewing
Figures 6 and 7 from this past spring, one
might question that expectation.
Figure 6
Panel A
Panel B
Data Source: The Bloomberg.
Source: Till (2005).
Figure 7
Panel A
Panel B
Data Source: The Bloomberg.
What might explain the common waxing and
waning of prices in crude oil, soybeans
and copper during this past spring? As Figure
8 summarises, China is now the number 1
or 2 consumer in a number of major commodities.
When one re-examines Figures 6 and 7 in
light of the Chinese holiday calendar, one
notes that the lulls in each commodity's
bull market have occurred around the time
of Chinese holidays in February and May
of this year, presumably when Chinese demand
was absent.
Figure 8
Impact of Chinese Demand: The Macro View
1.3 billion people
World's No.1 consumer
of copper
World's No.1 consumer
of steel
World's No.1 consumer
of iron ore
World's No.1 consumer
of soybeans
World's No.2 consumer
of energy
50% of the world's
cranes are in China.
Source: Howell (2005).
If a commodity portfolio manager does not
want to own too much risk to fluctuating
Chinese demand, then it would be prudent
for the manager to be careful in his or
her risk capital allocation to the petroleum
complex, industrial metals and soybeans.
Cautionary Note on Chinese Demand
In April 2004, following reports of a
more stringent official policy towards industrial
loans in China, both copper and platinum
prices declined precipitously, as shown
in Figure 9.
Figure 9
Platinum and Copper Prices During the Last
Half of April 2004
Data Source: The Bloomberg.
Source: Till and Eagleeye (2005).
Copper and platinum became the same trade
during the latter half of April of 2004.
If a manager had both of these trades in
his or her portfolio, then that manager
may have inadvertently doubled up on risk
to China's intensive economic development.
The entrée of China as a dominant
force in the commodity markets obviously
has a number of implications for an active
manager's risk-management and portfolio-construction
methodologies. One consequence may be to
view the world in terms of internationally-traded
commodities versus purely domestically-traded
commodities. A basket of internationally-traded
commodities includes, for example, crude,
copper, and soybeans while the diversifying
basket of (US) domestically-traded commodities
includes livestock and natural gas. The
"domestic" basket would be expected
to perform independently of the "international"
basket, and presumably the performance of
the "domestic" basket would not
be impaired by a Chinese economic hard-landing.
In that scenario, we might expect the "international"
basket to potentially perform poorly as
its components have thus far benefited from
strong Chinese demand.
That said, taking into consideration the
risk of a Chinese economic hard-landing
is not meant to invalidate the case for
commodity investing. We are only recognising
that the history of developing economies
is one of violent, unpredictable fluctuations
around a long-term growth trend (such as
occurred in the US during the 19th Century)
so one might expect similar patterns during
the ongoing development of China.
Conclusion
We conclude by noting that while the commodity
markets provide a manager with ample opportunities
for creating portfolios of diverse strategies,
there are a number of challenges in doing
so. In this article, we provide two examples
of those challenges: (1) the correlations
amongst commodities vary seasonally due
to meaningful weather events, and (2) the
entrée of China as a dominant force
in the commodity markets has created new
correlation footprints. The main implication
of these observations is that risk management
in the commodity markets is a very
dynamic process.
A version of this article
was previously published in the Fall 2005
issue of Commodities Now, http://www.commodities-now.com.
The authors wish to thank
Galina Kalcheva for assistance in risk management
research.
Chicago-based Premia
Capital employs statistical techniques to
detect opportunities in derivatives markets
across asset classes. Premia Capital's focus,
though, is on the (natural resources) commodity
futures markets. The principals of Premia
Capital also advise large investment firms
on sophisticated risk-management techniques
in periodic consulting engagements. http://www.premiacap.com.
References
Howell, Robert, Investment
Seminar, Schroders Alternative Investments
Group, Commodities, Gstaad, February 2005.
Teague, Solomon, "The
Commodities 'Gladiator'," Risk Magazine,
June 2004, p. 88.
Till, Hilary, "Risk
Management in Commodity Futures Trading,"
Presentation at GAIM 2005 Conference, Lausanne,
June 2005.
Till, Hilary and Joseph
Eagleeye, "Commodities - Active Strategies
for Enhanced Return," a chapter in
the The Handbook of Inflation Hedging Investments
(Edited by Robert Greer) McGraw Hill, Forthcoming
2005; and an article in The Journal of Wealth
Management, Fall 2005, pp. 42-61.
Till, Hilary and Jodie Gunzberg,
"Absolute Returns in Commodity (Natural
Resource) Futures Investments," a chapter
in Hedge Fund Investment Management (Edited
by Izzy Nelken) Elsevier, Forthcoming 2005.
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