| Index
and Enhanced Index Funds
By David G. Booth
Co-Chairman, Chief Executive Officer,
and Chief Investment Officer
Dimensional Fund Advisors Inc.
April 2001 |
|
Dimensional Fund Advisors' investment strategies provide access
to a wide range of fixed income and equity risk dimensions. The
funds under management are either "index funds," designed to closely
track the returns of an index, or "enhanced index funds." Of the
assets under management, approximately 90% are invested in enhanced
index funds and 10% are invested in straight index funds. The
goal of our enhanced index funds is to add 100-200 basis points
a year over conventional benchmarks while tracking their benchmarks
almost as well as index funds.
The purpose of this paper is to develop a case for the use of
index funds and, by extension, our type of enhanced index funds.
The Research into Fund Management
Index funds were first launched in the early 1970s. The motivation
for indexing was the poor performance of what might be called
"conventional" active management, the attempt at improving returns
through stock selection and market timing.
Today, we take for granted the calculation of time-weighted rates
of return and the availability of comparative universes for professionally
managed funds. Before the mid-1960s, there was neither a generally
accepted way to calculate a total return nor a way to compare
the returns of different funds. This all changed with the advent
of computers and the collection of data for mutual funds as well
as for individual stocks and bonds. For the first time, investors
could calculate returns on a consistent basis and compare their
returns with the returns achieved elsewhere. And, for the first
time, they became aware of the poor performance of professional
money managers.
An article from The Wall Street Journal typifies the findings.
It reports that, based on the newest methods of analyzing investment
returns, the average mutual fund underperformed its risk-adjusted
benchmark by 140 basis points (1.4%) a year (Jonathan Clements,
"Stock Funds Just Don't Measure Up," The Wall Street Journal,
October 5, 1999). The findings are consistent with previous research.
There is now more than 30 years of research into fund performance,
covering a span of over 50 years. The research is clear: In every
time period examined, active management has lower returns than
would be expected from index funds. And the results are the same
for all equity styles. In his article "Mutual Fund Performance
and Manager Style," Davis finds that both small cap and large
cap stock funds, both growth and value funds, all underperform
risk-adjusted benchmarks.
Upon hearing about the research findings, investors sometimes
respond that they are not concerned about the results of the average
manager. They plan on hiring only the above-average managers.
A follow-up Wall Street Journal article addresses that
bit of wishful thinking (Jonathan Clements, "Not Everyone Can
Pick Funds. Really," The Wall Street Journal, Novermber
9, 1999). Once again, the conclusions are revealing. Managers
with good track records are no more likely to have good records
in the future than are managers with poor returns. The one bit
of consistency concerns the funds with poor track records-they
are more likely to have poor future returns than are other funds.
With high fees and high turnover rates it is easy to be a consistent
loser.
The performance of pension funds and outside investment consultants
mirrors that of mutual funds. Some argue that pension funds and
other investment professionals should have better returns than
mutual funds because professional investors should be able to
select the best managers. The results indicate they do not. The
only difference in performance can be explained by their ability
to negotiate lower management fees than those charged by mutual
funds.
The negative view of professionally managed funds is not restricted
to the US Quigley and Sinquefield, in their article "Performance
of UK Equity Unit Trusts," report the performance of actively
managed UK funds is even worse than the performance of US funds.
Thus, part of the case for indexing is based on extensive empirical
research. Before fees, the track records of traditional managers
are similar to what would be expected from a room full of orangutans
throwing darts at stock and bond listings. After fees, the expected
distribution of results is better for the orangutans because they
are assumed to work for bananas.
Index funds, with low management fees and low turnover costs,
always rank high in long-term performance studies. They have ranked
in the top of the comparative universes since their inception
in the 1970s, the 1980s, and the 1990s.
What Seems to Matter
Investors should be happy with the research findings. Ignoring
fee differentials, systematic differences in average portfolio
returns can be explained by differences in average risk. Portfolio
management becomes an issue of asset allocation across the dimensions
of risk rather than an issue of which money manager is best.
Over the last 35 years, academics have led the way in improving
our understanding of risk and return in public securities markets.
Currently, the generally accepted view of leading academics is
that risk can be thought of as having the following dimensions:
- Fixed income. The two dimensions of fixed income risk appear
to be maturity and quality. Low quality obligations have higher
returns than high quality obligations. To some, the difference
is so great that they invest in high-yield strategies. The maturity
dimension is somewhat more complicated. Longer-term obligations
do not have reliably higher average returns than shorter-term
obligations, even though their prices fluctuate more. Investors
concerned about return volatility should shrink away from long-term
obligations.
- Stocks. The two dimensions explaining differences in average
equity returns appear to be related to company size and financial
health. Exhibit 1 displays the differences in average returns
calculated by Fama and French for large cap vs. small cap stocks
and for value stocks vs. growth stocks. Value stocks are low-priced
stocks, which are biased toward financially unhealthy companies.
Growth stocks represent high-priced, financially healthy companies.
| Exhibit 1 |
| Historical Simulation
Results |
| |
|
| |
In US Dollars.
Emerging Markets simulations from countries in the IFC
Global Universe (excluding "Frontier" countries). Simulations
are value-weighted within each country then equal-weighted
across all countries. |
US Value & Growth
and Emerging Markets data courtesy of Fama/French.
International Large Value courtesy of Fama/French prior
to Dimensional's 7/93 portfolio inception.
International Small simulated by Dimensional prior to
4/86 portfolio inception.
S&P data courtesy of © Stocks, Bonds, Bills and
Inflation YearbookT, Ibbotson Associates, Chicago (annually
updated works by Roger C. Ibbotson and Rex A. Sinquefield).
CRSP data courtesy of the Center for Research in Security
Prices, University of Chicago.
MSCI data courtesy of Morgan Stanley Capital International. |
Performance information for International Large Value
and International Small are based in part on a model/backtested
simulation; the performance was achieved with the retroactive
application of a model designed with the benefit of
hindsight; it does not represent actual investment performance.
The model's investment objective is to achieve long-term
capital growth. The model's performance reflects the
reinvestment of dividends and other earnings, and is
net of fees. There are limitations inherent in model
performance. Past performance is no guarantee of future
results, and there is always the risk that an investor
may lose money. View SEC standardized performance
data and disclosures. |
In essence, risk is related to distress in an intuitively appealing
way. Financially distressed companies have higher costs of capital
than financially healthy companies. When they borrow from a bank,
they pay higher interest rates. When they issue stock, they receive
lower prices.
| Expected return ("E(R)") is the
mean value of the probability distribution of possible returns. |
Cost of capital is the flip side of the coin from investment
return. A firm's cost of capital is an investor's expected
return. If a company sells off 20% of its stock, the investor
gets a claim of 20% of the earnings forever. The return received
by the investor is a return forgone by the company.
Exhibit 2 displays the negative relation between profitability
and average stock returns. Value stocks and small cap stocks are
less profitable than are growth and large cap stocks, but their
returns are higher. It is hard to believe a stock market could
behave any differently. What would the world be like if the largest,
safest companies offered the highest average returns? The two
dimensions of stock returns rightfully appear in all of the stock
markets around the world.
| Exhibit 2 |
| Company Size and Financial
Strength |
| Annual Data: 1964-2000 |
| |
|
| |
| Earnings/Assets
through 1999 due to availability. |
| Data courtesy of Fama/French. |
The Fatal Flaw of Active Management
The positive relation between distress and returns drives a spike
through the heart of active management. Not many active managers
invest in companies with poor earnings prospects and poor management.
But, these are the companies with high costs of capital and high
expected returns. Much of the 140 basis point shortfall from active
management could be due to their selling companies whose costs
of capital have increased recently and buying companies whose
costs of capital have declined recently.
Shifting risk levels to avoid distress also explains why the
return for the average investor is less than the return for the
average fund in which they invest, according to a Dalbar study.
The average investor equity return is about 1,000 basis points
(10%) per year lower than the S&P 500 Index.
Similarly, the relation between distress and returns causes problems
for fund trustees. Expected stock returns tend to be highest when
economic prospects look bleak, and lowest when economic prospects
look bright. Trustees move in the opposite direction. When economic
prospects worsen, stock prices drop and trustees want to reduce
their equity commitments. They want to increase equity commitments
when economic prospects look bright. The market has already discounted
those prospects, so the timing of the equity commitment lowers
average returns.
Tax Considerations
For taxable investors, the case against conventional stock management
is even stronger than it is for tax-exempt investors. With its
high portfolio turnover rates, conventional active management
generates a much larger portion of its returns in the form of
taxable capital gains.
Index funds can be engineered to eliminate most capital gains
distributions. An index fund holds all of the winners and losers.
To the extent that it is forced to recognize a capital gain, there
are usually ample numbers of losers in a portfolio that can be
sold to eliminate the capital gain. Sampling techniques can be
used to eliminate much of the dividend income as well, without
sacrificing total return.
Exhibit 3 displays the greater tax liability of active managers.
Two of the best-performing funds have been Janus and Magellan.
Once taxes are deducted, Morningstar reports that the after-tax
return for the two funds is less than the after-tax return of
Vanguard's S&P 500 Index Fund. If an index fund could eliminate
the dividend income without reducing the total return, it would
rank in the top 4% of funds over the last 15 years.
| Exhibit 3 |
| Tax Effects on US Equity
Mutual Funds |
| 15 Years of Annualized
Returns: 1986-2000 |
| |
| Janus |
17.23% |
13.79% |
3.14% |
| Magellan |
17.04% |
13.96% |
3.08% |
|
|
|
|
| Vanguard S&P
500 Index |
15.81% |
14.44% |
1.37% |
| Percentile
Rank |
21 |
9 |
|
Vanguard S&P
500 Index
assuming zero tax liability |
15.81% |
15.81% |
0.00% |
| Percentile
Rank |
21 |
4 |
|
|
| |
Morningstar, January
2001; all 355 domestic equity funds with 15 years of
return history. |
Random Drift
The research into investment return is concerned with whether
conventional active management is a "fair game." Active management
would be a fair game if the average actively managed fund return
equaled the average benchmark index return.
Suppose active management were a fair game instead of a game
that loses 140 basis points a year. Based on the agony of random
drift, it would still not be a game worth playing.
| Standard deviation (σ) is
the statistical measure of the degree to which an individual
value in a probability distribution tends to vary from the
mean of the distribution. |
One example of a fair game is a coin-tossing gamble. Almost no
one would wager millions of dollars on the flip of a coin, no
matter how fair the flip. Similarly, it does not make sense to
wager large sums of money on an active manager, whose performance
is erratic at best, when an index fund closely tracks the performance
target. For any year, the return for an equity fund can only be
predicted to be within the S&P 500 return ± 7.5%, approximately
equal to the standard deviation
of S&P 500 returns. Even though drift is random, the volatility
of active manager drift is almost half as large as the volatility
of the stock market.
| The risk premium is the additional
return an investor requires to compensate for the risk borne. |
Exhibit 4 displays the performance of three equity risk factors
developed by Fama and French: the market factor (Rm-Rf), the size
factor (SmB), and the book-to-market factor (HmL). The random
drift in returns for these factors is readily apparent. Note that
the risk premium in stocks is
negative for the 17-year period 1965-81. Investors often want
to make decisions based on the most recent 5-year or 10-year period.
Unfortunately for such investors, the magnitude of stock returns
makes it difficult to make informed decisions over such short
intervals.
| Exhibit 4 |
| Three-Factor Cumulative
Returns |
| Monthly Data: July
1963-December 2000 |
| |
|
| |
SmB is Small stock
minus Big stocks.
HmL is High BtM (value) stocks minus Low BtM (growth)
stocks.
Low BtM (growth) stocks. |
Three-factor and Market
data courtesy Fama/French.
S&P and T-Bill data courtesy of © Stocks, Bonds,
Bills and Inflation YearbookT, Ibbotson Associates,
Chicago (annually updated works by Roger C. Ibbotson
and Rex A. Sinquefield).
Russell data courtesy of Russell Analytic Services.
|
Types of Index Funds
There has been a rapid increase in the development of index funds.
The most popular type of index fund is the S&P 500 Index fund,
which tracks the performance of the largest 500 US stocks. It
is a large cap growth index. The international equivalent is the
MSCI EAFE (Europe, Australia, and Far East) Index fund.
Based on the research into the dimensions of equity returns,
we pioneered the development of small cap index funds as well
as large cap, value, and the S&P 500 Index funds. These types
of funds are also available in international markets, both developed
and emerging.
Real estate appears to be a separate asset class, sufficiently
different from the two dimensions of equity returns to justify
a separate commitment. We offer an REIT index fund for investors
wanting real estate exposure through marketable securities.
Fixed income can also be accessed through index funds. There
are long-term, intermediate, and short-term funds. Almost all
are high quality, because high-yield investing requires significantly
more subjective decision-making.
Asset Allocation: The Essence of Portfolio
Management
In a nutshell, academic research points to asset allocation as
the main emphasis of portfolio management. Expected portfolio
returns are shaped by how much is invested in stocks vs. fixed
income. The fixed income expected return is largely a function
of the maturity and quality decisions. The stock portfolio expected
return depends on the proportions invested in international vs.
domestic stocks, in value vs. growth stocks, and in small cap
vs. large cap stocks.
Exhibit 5 displays the asset allocation examples for clients
willing to invest in all of the equity dimensions. The commitments
to the index funds are constant, which solves the problem of adverse
timing. With constant commitments, the portfolio adjustments force
the discipline of investing more in an asset class after it has
done poorly, when its expected return may have gone up.