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In Part One of this article, I developed a picture of how traditional<br />
published expenses and less visible expenses—the<br />
most important of those being transaction costs—adversely<br />
affect fund performance. Now, let’s look at a useful framework<br />
for analysis of these and other elements affecting fund performance:<br />
Tracking error.<br />
What Is Tracking Error?<br />
Tracking error was not widely mentioned in investor<br />
and adviser discussions of funds until a large number of<br />
exchange-traded funds tracking multiple indexes were available<br />
to investors. Index tracking had been discussed in connection<br />
with index mutual funds, but the number of index<br />
mutual funds was and is small, and the number of indexes<br />
used by mutual funds is even smaller. It is useful to discuss<br />
the growing interest in index tracking in connection with the<br />
growth of index ETFs and then examine how a tracking error<br />
framework can be useful in evaluating all types of funds.<br />
Tracking error is one of a relatively small number of<br />
financial terms that has been defined differently in different<br />
situations. In most academic finance papers, tracking error<br />
is defined as “an unplanned divergence between the price<br />
behavior of an underlying position or portfolio and the price<br />
behavior of a hedging position or benchmark.” 1 In these academic<br />
applications, tracking error is usually expressed as the<br />
expected or experienced one-standard-deviation annualized<br />
percentage variation of a portfolio value from a benchmark<br />
index value. This definition is used largely to measure how<br />
much an actively managed portfolio strays from the benchmark<br />
as the manager tries to add value. I will return briefly to<br />
this definition later, but it is not the definition used in most<br />
discussions of ETF tracking error and it is not the definition we<br />
want to use as a framework for fund analysis and evaluation.<br />
In discussing tracking error in the context of exchangetraded<br />
index fund returns relative to the fund’s benchmark<br />
index, the notion of a standard deviation would not be useful<br />
before data for at least several years had accumulated.<br />
However, “tracking” <strong>com</strong>parisons of ETFs are called for and<br />
made when ETFs have been in operation for even less than<br />
one year. The purpose of such early <strong>com</strong>parisons is simply to<br />
measure how closely the exchange-traded index fund return<br />
matches the return of the index. Most fund users neither<br />
know nor care about standard deviations, so the <strong>com</strong>parison<br />
fund analysts began publishing was simply the return of the<br />
fund minus the return of the index. This difference is usually<br />
expressed in basis points (hundredths of a percent) because<br />
most index ETFs have tracked their index closely and the difference<br />
is usually small.<br />
When a standard deviation is used as the measure of<br />
tracking error, the tracking error is always expressed as a<br />
positive number. However, the difference between a fund’s<br />
performance and the performance of its benchmark can be<br />
positive or negative, depending on whether the fund performs<br />
better or worse than the index. Understandably, there<br />
was some confusion over the sign of a tracking error measure<br />
until ETF analysts clarified what they were doing. The<br />
tracking error measure used in connection with ETFs today<br />
is positive when the fund’s NAV outperforms the index, and<br />
negative when the fund under-performs the index.<br />
As a simple example, if a fund return were +8.75 percent<br />
for the year and the total return on its benchmark index<br />
were +8.65 percent, the tracking error would be reported<br />
as +10 basis points. If the returns were reversed, the tracking<br />
error would be reported as -10 basis points. Calling this<br />
difference “tracking error” seems reasonable and intuitive to<br />
ETF analysts and users and it rarely confuses anyone except<br />
finance Ph.Ds.<br />
A few people have calculated a “tracking error” as the difference<br />
between the market value return of the ETF and the return<br />
of the index, but the most frequent <strong>com</strong>parison is between the<br />
net asset value return of the ETF and the return of the index.<br />
ETF market prices typically will converge on NAV over any long<br />
period, making the long-term difference between the ETF market<br />
value and net asset value negligible. While some <strong>com</strong>parisons<br />
are done for shorter periods, the most widely discussed<br />
ETF tracking error <strong>com</strong>parisons are annual.<br />
Most ETFs have relatively low expense ratios; consequently,<br />
there is not <strong>com</strong>plete standardization on how the expense<br />
ratio is treated in tracking error calculations. Some performance<br />
tracking calculations add the fund’s expense ratio<br />
back to the fund return on the theory that the fund manager<br />
does not control these expenses. However, the expense ratio<br />
<strong>com</strong>es out of the investor’s return and it seems appropriate<br />
to <strong>com</strong>pare funds uniformly after expenses. Consequently,<br />
most tracking error <strong>com</strong>parisons do not add the expense<br />
ratio to the fund’s return, but it is a good idea to check.<br />
A number of index ETFs deserve extra attention because<br />
they fail to track their benchmark indexes very well. There<br />
are five principal reasons why an ETF will exhibit significant<br />
tracking error by this performance difference measure. These<br />
reasons are worth discussing because they account for most<br />
high double-digit or triple-digit (in basis points) index ETF<br />
tracking errors.<br />
Non-RIC Or Non-UCITS-Compliant Benchmark Indexes<br />
The U.S. Internal Revenue Code imposes diversification<br />
requirements that investment <strong>com</strong>panies in the United<br />
States must meet to qualify as regulated investment <strong>com</strong>panies<br />
(RICs) for favorable pass-through tax treatment. RIC tax<br />
treatment permits the distribution of interest, dividends and<br />
capital gains to holders of shares in the investment <strong>com</strong>pany<br />
without taxation at the fund level. In Europe, undertakings<br />
for collective investment in transferrable securities (UCITS)<br />
rules impose regulatory rather than tax diversification<br />
requirements on funds.<br />
The RIC diversification rules require that no more than<br />
25 percent of a fund’s assets can be in the securities of a<br />
single issuer except the U.S. government. Furthermore, with<br />
respect to 50 percent of the assets of the fund, no more than<br />
5 percent of the securities can be those of a single issuer,<br />
again except for the U.S. government.<br />
The UCITS requirements are structure rules, not tax rules,<br />
and they are a little more <strong>com</strong>plex than the RIC rules. Under<br />
what is known as the 5/10/40 rule, a nonindex UCITS may<br />
invest no more than 10 percent of its net assets in transferable<br />
securities or money market instruments issued by the<br />
www.journalofindexes.<strong>com</strong> January/February 2010<br />
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