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Originally published by Managed Account Research, Inc. on July
4, 2007
CTA
ConfidentialSM
"An ongoing series of qualitative investigations
into managed futures trading programs"
SPECIAL CASE STUDY
Managed Futures:
Pitfalls in Performance Evaluation
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
INVESTING IN FUTURES AND OPTIONS INVOLVES RISK AND MAY NOT BE SUITABLE FOR
ALL INVESTORS. THE HIGH DEGREE OF LEVERAGE THAT IS OFTEN OBTAINABLE IN COMMODITY
TRADING CAN WORK AGAINST YOU AS WELL AS FOR YOU. THE USE OF LEVERAGE CAN LEAD
TO LARGE LOSSES AS WELL AS GAINS. THEREFORE, INVESTORS SHOULD CAREFULLY CONSIDER
THESE RISKS AND DETERMINE WHETHER THEY ARE SUITABLE FOR INVESTING IN LIGHT
OF THEIR FINANCIAL CONDITION AND INVESTMENT OBJECTIVES.
In the first article of a three-part series about managed futures we alluded
to concerns about the intricacies of adept CTA performance evaluation. This
article further explores that topic.
While the futures industry's regulatory rules provide clear guidance as to
managed account composite performance reporting, there are pitfalls in making
investment decisions based on a track record's outward appearance without considering
the potential for internal distortions.
For those unfamiliar with managed futures, it is a niche sector of alternative
investments and refers to professionally managed assets in the commodity and
financial futures markets. Management is facilitated by Commodity Trading Advisors
(CTAs) who are registered with and regulated by the Commodity Futures Trading
Commission (CFTC) and the National Futures Association (NFA).
The institutionalization of alternative investments can be traced back to
the development of CTA performance tracking databases first established around
1979. This data became the basis for an academic body of research on managed
futures beginning with the seminal study by Harvard Business School professor,
Dr. John E. Lintner.[1]
In the old days CFTC regulations required that CTAs produce and present in
their disclosure document an accounting called the "13 column performance table." This
table is useful for CTA analysis in that it shows on a composite basis beginning
net asset value, additions, withdrawals, net performance, ending equity and
period rate-of-return, as well as the components of net performance: gross
realized profits/losses, changes in unrealized profits/losses, commission expense
including accrued commissions, interest income, management fees and incentive
fees.
The 13 column performance table later became distilled into the "7 column
performance table," and now the rules surrounding performance reporting provide
for the presentation of "capsule performance table" and "capsule performance
information." These condensed data tables neatly encapsulates the CTA's percentage
rate-of-return during the most recent five calendar years and the current year
to date, but they also exclude other useful data embedded in the older layouts.
Plaudits go to CTAs who provide the 13 column performance table freely upon
request. While CTAs are no longer required to produce this table by regulatory
statute, as we shall see investors would be wise to first obtain and analyze
this table prior to investing in a CTA's program.
When comparing rates-of-return a common mistake for investors new to managed
futures is to assume that for any equivalent period of time, a 20% annual return
for one CTA is the same as a 20% return for another CTA. This is not necessarily
the case.
As a hypothetical example, we'll compare one CTA, a floor trader who is actively
engaged in scalping bond arbitrage strategies, against another CTA who trades
a long-term diversified trend following system. The trading velocity, enumerated
as "round turns per million dollars per year" or RT/MM/YY[2] for
the floor trader averages 12,000, whereas the trend follower rarely trades
and averages 600 RT/MM/YY with clients charged $15 round-turn commission.
Supposing that the floor trader's commission cost is currently $5 round-turn
but will increase to $15 when the strategy is transitioned upstairs, the $10
increase in cost would negatively impact his performance by 12% for the year,
reducing the 20% return originally presented to just 8%. Under this scenario,
all factors being equal including commission costs, the trend following program
has superior past performance then the bond arbitrage program if traded off-the-floor.[3]
This 'apples versus oranges' conundrum is often ignored, glossed over or not
even recognized by many managed futures investors in their search for superior
performance statistics.
Other factors that can materially influence returns, besides trading velocity
and commission costs, include interest income, as well as management fees and
incentive fees (which in actuality may on average be different than the stated
rate in a CTA's disclosure document). That is why we think the 13 column performance
table is so useful—the data provided within can be incredibly informative
as to the influence these factors have upon performance.
Optimally, investors should obtain the 13 column performance table, separate
out gross realized profits/losses and changes in unrealized profits/losses,
and from that gross return create a pro forma performance table where the assumptions
on commission expenses, interest income, management and incentives are standardized
across all CTAs being compared.
But the above discussion is just a first level consideration of factors that
impact performance evaluation. Investors should also be careful to recognize
the faulty logic of comparing dissimilar trading strategies, and make sure
they compare upside and downside performance under parallel time periods and
analogous market conditions which underpins like trading approaches.
Another area where potential distortions may arise is rate-of-return calculations.
The CFTC appreciates that "Past performance information presented to clients
and prospective clients is a primary marketing tool for CTA programs..." Accordingly,
the Commission states that its "aim is that information provided to clients
be accurate, complete, and understandable."[4]
That said regulatory rules pertaining to performance computation and reporting
methodologies have evolved based on CFTC Advisories dating back to 1981.[5] A
long-standing subject of contention between regulators and industry participants
is notional funding and the use of nominal account size as the denominator
in calculating rate-of-returns.[6]
In July 2003 the CFTC "adopted regulations establishing a core principle for
CTAs with regards to performance disclosures concerning partially-funded accounts." The
Commission's own words provide the best insight into both sides' perspective
of this protracted industry debate.
"The key component of the Commission's rule proposal is the use of nominal
account size, rather than actual funds, as the basis for CTAs' computation
of rates of return. The consumer organization and members of the public noted
that investors look at actual funds when making investment decisions, and
expressed concern that performance based on nominal account size would reduce
the appearance of volatility of the CTA's trading program. Commentators who
supported use of nominal account size noted that it is the amount both the
CTA and the client consider to be the account size. They also pointed out
that use of actual funds can result in widely divergent return figures for
similarly traded accounts; exaggerates positive and negative rates of return;
and measures the cash management strategies of clients rather than the performance
of the CTA.
From this the CFTC concluded the following:
The Commission has not found persuasive the comments opposing use of nominal
account size rather than actual funds as the basis for computing CTA rates-of-return."
As it stands now, rate-of-return is defined as net performance for a period
divided by the beginning net asset value for that period, which may include
notional and/or committed funds if properly documented). Using this method,
however, can still sometimes result in distortions in computed rate-of-returns
under certain circumstances.
For example, distortions can result when additions and/or withdrawals are
large and are made early in the reporting period. In those instances using
the method in the paragraph above would result in rate-of-returns that are
inaccurate. Because this is well-recognized, regulations provide for the use
of the "time-weighting" and "only accounts traded" computation methods. Nevertheless,
even these permitted adjustments also have their drawbacks.
With respect to the "time-weighting" method, the beginning net asset value
is adjusted upward by time-weighted additions and downward by time-weighted
withdrawals. While using this method will certainly smooth out distortions
generally, it can still obfuscate accurate reporting. This can happen when
the introduction of a large new account, which is not immediately aligned to
the CTA's full set of positions, reduces the overall return (negatively or
positively) in comparison to the returns of older accounts with legacy positions.
In some cases, and it happens from time-to-time, the CTA will report a lower
negative return in relation to volatile market conditions then the CTA would
have otherwise reported had a large addition not been made. Likewise it should
be recognize that the opposite impact on reporting can occur too. This is another
situation where the 13 column performance table would be of use.
These time-weighting issues can be eliminated with the use of the "only accounts
traded" or OAT method, but this methodology for return computations also has
inherent problems. The OAT method calculates the monthly rate-of-return in
the conventional manner except that accounts that traded for only part of the
month or accounts that witnessed "material" additions/withdrawals during the
reporting period are excluded from the calculations.
By excluding these accounts, it is assumed that the calculated figure will
reflect the rate-of-return that would have been realized by an investor with
an account that was active at the start of the month and held until the end
of the month. In theory this approach removes the influence of intra-month
additions/withdrawals yielding an "undistorted" actual return figure. However...
Imagine a long term trend following system that takes several months for new
accounts to fully align to legacy accounts. If this CTA began trading numerous
new accounts, it is theoretically possible that the reported composite performance
in the subsequent reporting period(s) would be weighted towards the return
of these new accounts. In order words, while the older accounts may be more
representative of the fully implemented trading program, the newer accounts'
dissimilar and arguably unrepresentative returns could skew the composite return
presentation.[7]
In another situation the CTA may have only two accounts which both receive "material" additions/
withdrawals during the same reporting period. In these types of situations,
there is no regulatory guidance on how to report performance assuming that
all accounts in the composite are suppose to be excluded under the OAT method.
In such cases, CTAs usually revert to time-weighting.
As one can derive from this examination so far, reliance on CTA return presentations
without proper due diligence can be hazardous to making an informed investment
decision. We are not aware of any studies, but one could hypothesize that these
distortions in performance reporting may have influenced the results and conclusions
of certain commonly cited academic studies.
Additionally, the reliance on month-end numbers conceals extremely valuable
daily return and volatility data, which unfortunately is an industry-wide logistics
hurdle. Another issue which the industry needs to address is the standardization
of performance analytic calculations.[8]
This is all important but perhaps a more interesting analysis for investors
to consider involves quality-of-return concepts often referred to as risk-adjusted
returns. Margin-to-equity[9] is
the simplest but also coarsest way to gauge returns relative risk. In futures
trading margin is a good faith deposit which by design requires minimal actual
funds to control the nominal contracts size. This leverage is largely responsible
for the potential of outsize returns in managed futures.
If we were to compare two CTAs, one with an annualized return of 40% whereas
the second returned 10%, most investors new to futures would gravitate to the
first program. However, if the average margin-to-equity for the first CTA is
80% versus 20% for the second, and all other factors are assumed equal, risk
adjusted performance on that basis is actually the same.
This is why sophisticated investors may recognize value-added in an ostensibly
underperforming CTA and use notional funding to leverage that CTA to balance
out his portfolio.[10]
Margin-to-equity is not, however, the best way to standardize risk-return.
Value-at-risk, modified Sharpe ratio, rank correlation analysis and other measures
provide in combination the best means in which to quantitatively analyze the
risk-adjusted returns of managed futures programs.
In our opinion the use of quantitative analysis is too often over-emphasized
for reasons provided so far in this article. But if quantitative analysis can
only be partially relied on, what other analytical approach should investors
used to evaluate CTAs?
The answer, in our opinion, relies on emphasizing a qualitative approach.
In a media driven world of sound-bites and fifteen minutes, there is unfortunately
a predisposition for investors to glance at past performance and the executive
summary for the easy money.
Unfortunately not all CTA performance numbers are directly comparable. Fact
is, in managed futures there is no such thing as outsize profitability without
leverage and additional exposure to risk. For that reason astute investors
should look beyond the quantitative into the qualitative.
----------------------
Due to constraints on editorial length, this article cannot thoroughly exam
in detail all of the relevant analytical issues involving CTA performance reporting
and analysis. For a comprehensive discussion and analysis of quantitative performance
considerations when investing in managed futures, contact Managed Account Research
at (800)308-1495 or via email at info@ma-research.com.
[1] Lintner,
John E. "The Potential Role of Managed Commodity—Financial Futures Accounts
(and/or Funds) in Portfolios of Stocks and Bonds." Presented at the Annual
Conference of the Financial Analysts Federation, May 1983.
[2] A "round
turn" is a completed futures transaction involving both a purchase and a liquidating
sale, or a sale followed by a covering purchase. 'Round turns per million per
year' is a standardized measure of how many times a year a CTA would trade
for a one million dollar size account. This number is usually extrapolated
and not accurate.
[3] Example
from "Managed Trading, Myths & Truths" by Jack D. Schwager, publisher John
Wiley & Sons, Inc., ISBN -0471-02057-5. (Author's personal note of appreciation
to Jack for having the courage to first write about what some of us had recognized.)
[4] Federal
Register/Vol. 63, No. 117/Thursday, June 18, 1998, Commodity Futures Trading
Commission, 17 CFR Chapter I, "Concept Release: Performance Data and Disclosure
for Commodity Trading Advisors and Commodity Pools"
[5] See
46 FR 26005, 26009 (May 8, 1981). Pursuant to the original Part 4 disclosure
rules adopted in 1979, CTAs were permitted, but not required, to disclose their
past performance in accordance with the format specified.
[6] The
issue of notional funding at one point resulted in CFTC Interpretative Letter
93-13 that required the use of the "fully-funded subset" methodology for calculating
rates-of-return. In the opinion of this article's author, this particular regulatory-required
methodology resulted in grotesque distortions in performance reporting during
the years of its application and usage. Fortunately, required use of this methodology
has since been repealed.
[7] CFTC
Interpretative Letter No. 93-13 provides for certain materiality tests to determine
if accounts are traded in "materially the same" way. In cases where the NFA
may determine this is not the case, the author is aware of a case were the
CTA was required to separate the performance of each client account into separate
performance tables.
[8] Performance
analytics commonly used in the managed futures industry include: Sharpe ratio,
standard deviation, RT/MM/YY, margin-to-equity, etc. A survey of popular CTA
tracking databases reveals that each provider's reporting is not comparable
from one database to another due to different assumptions underlying each provider's
calculations.
[9] The
margin-to-equity ratio calculation divides the initial or maintenance margin
requirement and divides it into the net asset value of the account. This ratio,
typically presented as a static number, is in fact a volatile ratio which in
most trading materially changes from day-to-day. In practice, CTAs provide
the margin-to-equity ratio for guidance purposes to show generally what the
average margin requirement is for their trading program. Investors should be
aware that reported margin-to-equity ratios are usually rough estimates and
in practice not updated often.
[10] Experienced
managed futures investors often utilize what is known as a cross-margin account
structure, where the cash account is capitalized and collateralizes trading
accounts which are traded on a nominal or notional basis.
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