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| Sales Insight - November, 2008 |
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In 1986, an article was
published in The Financial Analysts Journal that changed the
investment world. Three researchers – Gary P. Brinson, L. Randolph Hood, and
Gilbert L. Beebower (collectively “BHB”) – compared the performance of actively
managed pension funds to the performance of index funds. They found that asset
allocation choices, not individual security selection, accounted for more than
96% of the variation between active and indexed portfolios.
The research served as rocket
fuel for a two-decade boom in asset allocation. Published at an opportune time
in the investment industry’s growth, BHB has been used by countless financial
advisors to convince clients that asset allocation works over time.
Almost exactly 20 years later,
another article was published by two researchers in the same publication. This
article lays the groundwork for the next leap forward in asset allocation. It
also appeared at a remarkable time, when industry innovations and
economic/market cycles were creating new opportunities for managing risk,
increasing returns, and expanding efficient frontiers.
In this article, you will learn
about the work of these two researchers and why their findings may be as
important in the future as BHB has been in the past. You also will see why
commodities futures, and exchange-traded funds (ETFs) that combine them, may
hold the key to your clients’ asset allocation success.
Enter Erb & Harvey
The ground-breaking 2006
research study was published in the Financial Analysts Journal by Claude
B. Erb, CFA and Campbell R. Harvey and titled: The Strategic and Tactical
Value of Commodity Futures. You can access it in full online here:
http://faculty.fuqua.duke.edu/~charvey/Research/Published_Papers/P91_The_strategic_and.pdf
To set the stage, BHB was
published near the onset of a golden age of equity investing. It helped a
confident investment industry, working in a growing U.S. economy and booming
stock market, capture assets under management in style-based U.S. equities.
The Erb and Harvey research, on
the other hand, is tailor-made for a new era of global asset allocation,
including alternative asset classes. During an era of economic disarray and
stock market turmoil, it offers advisors a sensible way to maintain asset
allocation disciplines while increasing diversification and reducing volatility.
Like BHB, Erb and Harvey began
by comparing the actual performance of investments over time to index funds.
Specifically, they compared the mean return produced by individual commodities
futures contracts, most of which are highly volatile, to indexes composed of
these same contracts and rebalanced periodically.
On an individual basis, they
found that commodities futures contracts have been relatively unrewarding
investment. The average historic median return of 36 individual contracts from
1959-2004 was just 0.03% above Treasury bill returns.
The researchers then showed
that an equally-weighted, rebalanced index of these same contracts has
produced annual historical portfolio returns 2% to 4% higher than the historic
median return of the individual contracts. They called this extra return
“diversification benefit” and attributed it to the fact that individual
commodities contracts are highly volatile and also tend to have somewhat low
correlations with other contracts.
They concluded that the
diversification benefit is not dependent upon the asset classes chosen but
rather statistical variance reduction. It can be reliably achieved in any
rebalanced portfolio that combines (on an equal weight basis) volatile asset
classes with low correlations to each other. Because the diversification benefit
acts like magic in boosting the efficient frontier and lifting returns, they
called this phenomenon “turning water into wine.”
They explained their
methodology with a simple example involving just two asset classes, the GSCI
heating oil index and the S&P 500 Index, using data from the period 1993-2003:
“Heating oil had a geometric annual excess return of 8.21%, and the S&P 500 had
a geometric annual excess return of 6.76%. The equally weighted average of these
two returns is 7.49%. But the geometric excess return of an equally weighted,
annually rebalanced portfolio is 10.95%. The so-called diversification return is
simply the difference between 10.95% and 7.49% or 3.46%. In this example of
‘turning water into wine,’ the return of the rebalanced portfolio is much higher
than the return of either of the two portfolio constituents.”
This example highlights the
potential to capture diversification benefit in portfolios mixed between stocks
and commodities futures – because both asset classes can be somewhat volatile
and correlations between them tend to be fairly low (near zero).
Spokes in the Wheel
The Erb & Harvey research
serves as a hub concept around which other developments in commodities futures
revolve. Here are several of the most important “spokes in the wheel” for asset
allocation purposes:
-
Leading indexes of mixed
commodities futures contracts now have long-term track records that compare
favorably to other asset classes. For the 10-year period ending 10/31/08, the
S&P GSCI Total Return Index produced an average annualized return of 12.23%. The
Dow-Jones AIG Commodity Index Total Return Index returned 9.93%. Over the same
period, the S&P 500 Total Return Index returned just 3.06%.
-
Low historic correlations have
been documented between leading commodities indexes and traditional asset
classes. For example, the Dow-Jones AIG Commodity Index Total Return Index has a
correlation of -0.05 with the S&P 500 and -0.03 with the Lehman Brothers U.S.
Aggregate Index (bonds).
-
Other research has helped to
analyze the diverse set of return drivers available in commodities futures. For
example, Hilary Till decomposed long-term returns in futures indexes and found
that spot commodity prices have not had much impact on long-term performance. A
greater influence has been the contributions of five specific futures contracts
in which annualized historic returns have been far in excess of spot price
appreciation, as summarized in the table below.
Annualized Returns from 4/83 to 4/04
|
|
Futures Contract |
Spot Price |
|
Crude oil |
15.8% |
1.1% |
|
Heating oil |
11.1% |
1.1% |
|
Gasoline (since 1/85) |
18.6% |
3.3% |
|
Copper |
12.0% |
2.3% |
|
Live cattle |
11.0% |
0.7% |
Source: Structural Sources
of Return and Risk in Commodity Futures Investments, Hilary Till, April
2006.
What
helped these five contracts significantly outperform the corresponding spot
commodities? The answer is their tendency toward “backwardated” term structures.
In simple language, this means that near-expiration futures contracts cost more
than longer-term. Each time an index rolls an expiring contract into a new
contract, it does so at a lower price, picking up steady increments of yield.
Over time, the rolled-up profits in just five contracts have made several
commodity indexes top performers.
Mixed Commodity ETFs and ETNs
|
ETF or ETN |
Symbol Inception |
Component Contracts |
|
DB
Commodity Index Fund |
DBC
2/3/06 |
Aluminum, corn, gold, heating oil, light crude, wheat |
|
iPath
S&P GSCI TR Index* |
GSP
6/6/06 |
24
commodity contracts, 78% energy 12% agriculture, 6% industrial metals, 3%
livestock and 2% precious metals |
|
iPath
Dow Jones–AIG Com. Ind. Tr. * |
DJP
6/6/06 |
19
commodity contracts, 40% in energy, 28% agriculture, 17% industrial metals,
9% precious metals, 7% livestock |
|
iShares S&P GSCI Com. Ind. Tr. |
GSG
7/10/06 |
Tracks the same index and has similar composition to GSP above |
|
DB
Base Metals Fund |
DBB
1/5/07 |
Aluminum, copper, zinc |
|
DB
Agriculture Fund |
DBA
1/5/07 |
Corn,
soybeans, sugar, wheat |
|
DB
Energy Fund |
DBE
1/5/07 |
Brent
and light crude oil, heating oil, natural gas, gasoline |
*
Exchange-traded note (ETN)
-
Innovative
concepts in the ETF world may help to increase the long-term returns of mixed
commodity indexes. For example, Deutsche Bank (DB) and Powershares have created
a series of Liquid Commodities Indexes that they have trademarked “Optimum Yield
(OY)” These indexes introduced a rules-based method for replacing expiring
contracts so as to maximize roll yield advantage. For each expiring contract in
the index, the OY formula performs an evaluation of similar contracts expiring
in the following 13 months and then chooses the contract with the “highest
implied roll yield.”
In back-testing the concept over the period 1988-2006, DB found that the OY roll
formula added 52 basis points of annual return, compared to the same index with
a traditional rolling method.
Practical Implementation
Ideas
Many financial advisors are
biased in favor of equities and against commodities. They believe commodities
are volatile, risky and relatively unrewarding because they think futures
returns mirror spot prices. While this may be true of some individual contracts,
it is definitely not true of diversified commodities indexes.
Leading mixed commodities
indexes now have long-term absolute returns, standard deviations (volatility),
and risk-adjusted returns comparable to equities. Over the past decade, their
absolute and risk-adjusted returns are superior. Mixed commodities indexes also
have diverse return drivers including:
-
Appreciation in spot commodities
prices
-
Ability to capture roll yield
systematically in some contracts
-
The interest earned on cash collateral
deposited to buy futures contracts
-
The Erb & Harvey diversification
benefit of 2% to 4% per year
More importantly for overall
asset allocation purposes, combinations of equities and mixed commodities
futures indexes, equally weighted and rebalanced systematically, should
outperform the averaged returns of the two asset classes through a kind of
“super diversification benefit” – because both asset classes can be volatile and
correlations between them are low. Adding bonds to the mix should not dilute
this benefit greatly, even though bonds are not a volatile class.
Based on historical data, there
is a very strong probability that a 50-50 mix of equities and mixed
commodities futures indexes will outperform an equities-only portfolio on a
risk-adjusted basis over time. Accepting this simple fact gives financial
advisors a strategic way to reduce the equity-heavy concentrations in clients’
portfolios, reduce short-term volatility, increase global diversification, and
better manage risk.
Of course, some clients may be
concerned about the sharp decline in commodities prices that began in July of
this year and continued through the bear market rout of September-October. The
hypothetical 50-50 equities-futures portfolio would have performed very poorly
during this period, and clients may wonder whether it indicates an increased
correlation between stocks and futures. While the jury is still out, this period
may be a historical rarity caused by an unprecedented global de-leveraging event
that negatively affected all asset classes except cash.
Very few financial advisors are
yet mentally prepared to commit large portions of allocation models to
commodities futures. But it’s a goal to work toward, and here are specific
ideas:
-
For the broadest exposure to the greatest variety of futures contracts, allocate
with DJP, GSP, or GSG.
-
DBC is an attractive “one-solution” tool for implementing commodities futures
into asset allocations, for two reasons. Compared to DJP, GSP or GSG, it weights
components closer to the equal-weight methodology advocated by Erb & Harvey for
maximizing diversification benefit. Also, it has the potential to increase roll
yield if Deutsche Bank’s OY formula proves successful over time.
-
The Deutsche Bank-Powershares ETFs focused on specific futures complexes (DBB,
DBA, DBE) can be useful in tactically adjusting commodities exposure. They also
can be used to tailor allocations to specific client preferences for base
metals, food and energy, respectively.
-
As an energy-only mixed ETF, DBE can be especially valuable in helping clients
hedge against higher oil and gasoline prices, and higher inflation rates in
general. Add DBA to the mix if clients are worried about increases in food
prices.
The Big Picture
For both stocks and commodities
futures, cycles of opportunity historically have lasted decades. For example,
U.S. stocks enjoyed a bull market from 1950 through 1972 and then another strong
run from 1980 through 2000. However, it is possible that the U.S. stock market
is now buried in a bear market that began in 2000 and may last a decade or more.
Commodities futures had one
strong run from 1971 through 1982 and another that began in 2002. While it is
possible that this commodity up-cycle ended in mid 2008, it is not likely for
three reasons: 1) massive liquidity has recently been created by central banks
and governments around the world and it may wash back into higher inflation in
the years ahead; 2) the U.S. dollar remains vulnerable to downward pressure,
especially against the “universal currency” of gold; and 3) economies of
emerging markets (especially in Asia) may rebound from the current economic
downturn faster than the U.S., refueling demand for scarce commodities.
All of these points reinforce
the case that we may still be in a golden age of commodities, well before the
next golden age of equities begins. Help your clients navigate these difficult
times with low-correlation global asset allocation strategies designed to take
advantage of innovation and opportunity.
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