Family Office
Analytics: Market meltdown generates index mayhem

Warning: benchmarking against traditional indexes can mean
further carnage. Ron Surz is president of PPCA, a San
Clemente, Calif.-based software firm that provides
performance-evaluation and attribution analytics, a principal of
RCG Capital Partners, a Denver, Colo.-based fund-of-hedge-funds
manager, and a co-founder of target-date index maker Target Date
Analytics.
This is a warning to my performance-evaluation friends; with luck
it comes in time to be of use in third-quarter performance
reviews. Name-brand index results for the year through 30
September 2008 are misleading and likely to result in bad
decisions. And the problems spill over into the new and growing
area of target-date funds.
U.S. stock indexes
Some would say one style index is as good as another: they're all
about the same. This is generally true, but not for the first
nine months of 2008. As shown in the following exhibit, the most
popular indexes -- the Russell and the S&P -- show value and
growth losing about the same amount; roughly 19%. But these
benchmarks are missing an important component of the market: the
stuff in the middle -- between value and growth -- the stuff I
call "core."
With core in the picture, value outperforms growth and core
outperforms both value and growth. This is important because
investment managers who are compared to the Russell or the
S&P will be misjudged at a time of high investor anxiety.
Core typically outperforms when investors lack conviction,
favoring neither value nor growth. Now more than ever it's
important to get the benchmark right. Otherwise today's faulty
decisions will undermine future performance.
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This kind of discord, while infrequent, is explained by
differences in methodology that can be best understood by
considering how the S&P and the Russell treat stocks in the
"gray area" between value and growth. There are degrees of
value and growth: some growth stocks are more aggressive growth
than others; some value stocks are deeper value. And some stocks
have characteristics that aren't clearly value or growth --
they're the stuff in the middle. The Russell deals with this
issue by allocating these fuzzy stocks pro-rata into value
and growth. The S&P ignores the problem altogether by
drawing a hard line that divides the market in half between value
and growth.
A better way to deal with this "medial stock" issue is to define
a separate classification called: core. Surz indexes break out
value, core, and growth stock groupings within each market cap by
establishing an aggressiveness measure that combines dividend
yield, price-to-earnings ratio, and price-book ratio. The top 40%
(by count) of stocks in aggressiveness are designated as growth,
the bottom 40% are called value, and the 20% in the middle are
core. The result is a family of indexes that are mutually
exclusive and exhaustive, which makes them perfect for
returns-based style analysis. In the first nine months of 2008,
large core performed substantially better than both large value
and large growth.
In terms of performance, core usually falls between value and
growth. About a third of the time, however, it doesn't. This year
to date is such a period. And in such unusual periods an
alternative to the Russell and the S&P provides valuable
insights. Details of Surz index construction and behavior are
available here, and a list of stocks classified as core is
available on request.
|image2|
You can use the index results above to take advantage of this
insight, and you can plot your fund's return against the
appropriate group in the next exhibit. As you see, there's little
overlap in the intra-quartiles, so misclassifying a manager will
lead to erroneous evaluations. Also, classification bias in
traditional peer groups is highly problematic in the nine months
to date. For a discussion of this little known bias click
here.
The universes in this exhibit are created using an unbiased
scientific approach called Portfolio Opportunity Distributions
(PODs). They represent all of the possible portfolios that
managers could have held when selecting stocks from their
respective indexes. In essence, hypothetical monkeys expand an
index into a peer group by simulating all the portfolios that
could have been formed from stocks in that index. By contrast,
traditional peer groups are very poor barometers of success or
failure because of their myriad biases. Everyone knows it's easy
to find a peer-group provider that makes you look good, and that
the industry tolerates, even condones this deceptive practice.
PODs are bias free and are therefore a much more reliable
performance-evaluation backdrop.
Target-date funds
Unlike the dozens of U.S. stock indexes from plethora of
providers, there are only three target-date fund-index providers.
Dow Jones struck first, in April 2005. Then my firm, Target Date
Analytics (TDA), introduced target-date indexes in October 2007.
And Standard and Poor's just announced the creation of their
indexes. Plan Sponsor magazine adopted the TDA indexes in
August 2008 and re-branded them as PLANSPONSOR On Target Indexes
(OTI).
These three indexes differ substantially in composition and
philosophy. Let's discuss philosophy first.
The S&P indexes are industry averages, reflecting common
practice among current target-date fund offerings. S&P
describes this construction: "Each index is representative of the
investment opportunity available to investors for the
corresponding target date horizon, with asset class exposures
driven by a survey of available target date funds for that
horizon."
The Dow indexes aim to "measure the performance of a lifecycle
portfolio that seeks to grow and preserve real value over
time."
PLANSPONSOR OTIs have two objectives: "(1) protect the purchasing
power of contributions with a very high probability, and (2) grow
assets with a reasonably high probability, without jeopardizing
the primary protection objective."
The major difference between the Dow and OTI indexes' objectives
is priority. Dow places equal emphasis on preservation and growth
whereas the OTI indexes emphasize preservation over growth. In
sum, the Dow and OTI indexes are standards -- the way target-date
funds should be managed -- and the S&P indexes are common
practice aggregates. Unfortunately, we find common practice
woefully lagging both the Dow and OTI standards. Target-date
funds are a great idea with awful execution, at least so far.
These differences in philosophy and objectives lead to materially
different index compositions and results. The following exhibit
summarizes composition differences at the broad equity allocation
level. As you can see, as the target date approaches the S&P
indexes are the most aggressive, followed by the Dow, and the
PLANSPONSOR OTI indexes are the most defensive. All three indexes
are quite similar in equity allocation at the more distant
dates.
There's a debate in the target-date industry regarding the
purpose of target-date funds. At TDA we believe that target-date
funds should be limited to the accumulation phase of a
participant's lifecycle, and that the distribution phase is best
served by vehicles designed for this purpose, such as annuities.
Accordingly, we believe that target-date funds should be entirely
in safe non-risky assets at target date, waiting for the
participant to move to the next phase, which they should be
thinking about long before retirement. By contrast, the industry
sees target-date funds morphing into distribution funds at target
date and continuing on, in some cases to death. This is akin to
viewing the target date as a small speed bump on the highway of
life.
What do you think the role of target date funds should be? I'd
like to hear from you.
|image3| As shown in the next exhibit, these compositional and
philosophical differences impacted target-date index performance
in the first nine months of 2008. This has been a wake-up call
for the target-date industry -- and gives TDA an I-told-you-so
opportunity I wish we didn't have.
Our greatest concern is for investors in near-dated funds, who
are at or near retirement, and have the most at stake emotionally
and financially. For the most part these investors are in
target-date funds as a default option in their 401(K) plans,
since target-date funds are one of three qualified default
investment alternatives (QDIAs). Do you suppose any of these
folks were prepared for the kind of disastrous loss that has
struck the S&P and Dow indexes? Did they know the risks they
were exposed to? Participants in longer-dated funds can better
tolerate these losses because the chances of a recovery are
reasonable and they have many more years to save.
|image4|
Your choice of index makes a big difference in your evaluation of
target-date fund results. So choose the index that is most in
line with the plan participants' understanding of what target
funds should be.
But the OTI defensive posture at target date is not the only
difference among the indexes. Diversification is also an
important distinction. The S&P indexes are not very well
diversified, comprising mostly U.S. stocks and bonds, because
this is the current industry practice. The Dow indexes are
somewhat more diversified, and the newer Dow real-return indexes
are even better. But the most diversified indexes are the OTI,
which represents the world market. The benefits of
diversification are shown in the following long-term performances
of 2010 funds.
|image5|
As you can see, the choice of target-date index makes a big
difference over longer horizons, extending back beyond the
current meltdown into better times. So now you can make an
informed selection.
Conclusion
This is one of those unfortunate times when consultants and
investment managers will try to console their clients by
explaining how their pain is less, hopefully, than most others.
This will be awkward and delicate, and is likely to bring forth
the difficult questions about bailing or doubling down. The
answers to these difficult questions are best formulated when
accurate benchmarks are employed. Clients need to know who is
succeeding and who is failing, rather than who can pick the
benchmark that makes them look best. -FWR
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