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It Would Appear They Already Have the Shirt Off His Back |
Julie
Segal recently wrote in II that” Infinity
Q’s Consistent Alpha Should Have Been a ‘Red Flag’”
There
is an old saying in the world of finance that is usually ignored:
If it looks to good to be true, it probably is.
There’s
nothing like “profit” (real or manufactured) to dazzle even the
biggest of the “big boys”. Or the promise of profit.
Or
association with a perceived
celebrity.
Here
no doubt the breathless closing mantra from the sales pitch was:
These
are the same guys who manage David B’s family office!
IQDA
also had a “track record” of producing highly consistent excess
returns (the “alpha” in its name). Beating its “benchmark”
with regularity.
To
employ a bit of understatement either of these
feats are “extremely rare”.
To
manage to do both rarer still.
And
to do both consistently, in the realm of myth.
If
it’s too good to be true, it probably is.
Yet,
self-imagined sophisticated
investors (the so-called “big boys”) fall for this over and over.
In
part this is explained by the dazzle of outsized returns.
It
explains the Dotcom boom, the 2008 Almost a Second Great Depression,
Bernie Madoff, SPACS, Bitcoin, Tesla, etc.
And
Hometown International the OTC-traded owner of a small NJ deli that
attracted investments from prestigious universities! HI not the deli.
Celebrity
connections play a role. Even if their financial knowledge is small.
Think Dogecoin, Bitcoin.
Sometimes
it can be a bit darker.
A
belief that the fund manager’s success is based on less than legal
methods, e.g., insider trading, rigged markets, corruption, etc.
And
that it’s best not to inquire too closely lest one incur the legal
obligation to “blow a whistle”.
Or perhaps more accurately find
oneself with unwanted legal “exposure”.
What
makes the IQDA fund saga even more interesting is a typical
attribution of returns analysis could not account for the stellar
performance.
An
attribution of returns analysis seeks to identify the factors (more
on that below) responsible for total returns and their relative
contribution to the total.
Here’s
a quote from an MPI (Markov Process International) report.
In
the case of Infinity Q Diversified Alpha, our [dynamic style
analysis] suggests that the majority of the fund’s returns over the
past 6+ years remain unexplained, quantitatively speaking,” MPI
said in the report. “Reviewing these quantitative results would
leave many advisors and analysts wondering ‘is this performance too
good to be true?
Here’s
a link
to more details on MPI’s analysis.
If
time constraints mean you have to choose between continuing reading
my post or reading MPI’s analysis, read theirs.
It
is a brilliant demonstration of the sort of analysis that should be
done.
Truly
sophisticated investors (admittedly a small select group) and their
professional advisors (a similarly small group) typically look behind
the headline return and any return attribution provided by a fund.
They
perform their own attribution analysis, isolating responsible
“factors” and their contribution:
strategy/style,
including drifts therein from what was promised
sector
and individual asset selection
risk
assumed
financial
engineering as opposed to investment skills, e.g. leverage both
direct and indirect (futures, options, etc)
They
(should) also look for valuation engineering.
Where
a fund’s performance is evaluated against a benchmark, one should
determine that the benchmark is and remains appropriate.
Even
more so, if the fund is compensated by “beating” the benchmark or
a set hurdle rate. Think PE.
IQDA’s
benchmark was the Credit Suisse Hedge Fund Index which reportedly
follows the results of 9,000 hedge funds and asset weights their
performances.
Is
this an appropriate benchmark?
No.
There
are significant differences in strategy among hedge funds:
long-short, volatility convertible arbitrage to name just three.
Leading to significant difference in their results.
Not
all of the 9,000 hedge funds in the CSHFI have the same strategy or
strategies. The creation of this index therefore “mashes together”
the results of different strategies.
Therefore,
it’s not meaningful to measure IQDA’s performance against it.
Would
it be meaningful to compare the results of a (real) football player
against a performance index composed of cricket, rugby, American
football, Australian football, and tennis players?
There
is no benchmark that fits IQDA.
CS
is not the only provider of HF performance indexes.
Other
FI’s provide them. Often with sub indices for a particular
strategies.
These
could be used to prepare more meaningful assessments of IQDA’s
performance.
A
related issue is valuation of assets – the other side of the
“beating the benchmark”.
If
asset value is inflated, the over performance (alpha) is as well.
That
can occur from selection or tweaking of “inputs” into models. Or
“adjusting” the models.
This
is particularly the case where the strategies are based on complex
hard to value instruments or transactions. So called Tier 3 assets or transactions.
Absent
clairvoyance, one would not be able to detect such fiddling.
But
one can identify opportunities for fiddling. And that should be a
sign to be vigilant.
The
MPI analysis shows how to do this quite quickly.
IQDA’s
former CIO has been accused (but not convicted) of “playing” new
tunes on the fund’s valuation model.
The
“big boys” apparently didn’t perform their own attribution
analysis and didn’t look at the appropriateness of the benchmark.
Or use other HF sub index benchmarks to analyze performance.
Or hire a qualified firm to do it for them.
Perhaps
they did and then ignored the results.
I’d
like to be able to categorically discount that possibility.
But sadly
I have seen the most egregious behaviour during my storied
career.
With
IDQA the “big boys” appear little different from retail
investors, except of course for the amounts of money they could throw
at their delusions.
History
suggests that this was not a one-off aberration.