Where Smart Money Goes.®

Active  vs. Structured Investment Strategies

One of the arguments prevailing in the financial community is which form of investing, active or structured, is the superior  investment strategy.  That is, which strategy increases a client’s wealth the most?  Are investors better off paying for active management or selecting a structured approach?  First, let's define what is meant by active and structured investment strategies.

An active investment strategy tries to find information about securities (that is not reflected in the current security price) to obtain above average returns.  It is characterized by consistent ongoing research to formulate superior opinions in an attempt to profit from this judgment [1].  Its two primary components are market timing and security analysis.  Security analysis is an attempt to determine if a security is correctly valued using fundamental analysis and technical analysis.  Fundamental analysts study financial statements and profitability outlooks for companies and industries.  Technical analysis involves reviewing charts that combine security prices, volume and short interest data to identify market and/or stock directions.

Investors utilizing a structured strategy believe in efficient markets (see MPT section) and that active management is mostly a waste of time and unlikely to justify the expenses incurred.  Structured investors do not try to find overvalued or undervalued securities and they do not try to outsmart the market.  It is primarily a buy and hold strategy with a majority of effort placed on proper asset allocation and diversification.  The investor’s wealth is carefully divided among risk free assets and a portfolio of risky assets to construct an efficient portfolio (see MPT section).  The portfolio is then monitored for style drift of assets and is rebalanced on an annual basis (if required).

Let's see how both individual and professional active money managers fared.  In 1998, a study was performed on the common stock holdings of 78,000 household accounts at a major discount brokerage firm [2].  The sample was stratified as household (60,000), affluent (12,000) and active traders (6,000).  It analyzed investment performance of these households from 1991 to 1996.  In this study the gross annualized geometric mean return for the value-weighted index was 17.1% and 17.7% for the average household.

On the surface the 17.7% return seems good after all it beat the index but what about trading costs?  After trading costs and bid/ask spread differences the average household return was 15.3% and only 10% for the most actively traded accounts.  The actively traded accounts earned over 7% less in net annualized return than was generated by an indexed approach.

Table 2.1

 

Net Return

Index Return

Diff.

Household Average

15.3

17.1

-1.8

Actively traded accounts (top 20%)

10.0

17.1

-7.1

  The study also noted that households frequently traded their common stock, averaging more than an 80% annual turnover.  Actively traded accounts incurred substantial trading costs averaging 5% for a round trip position.

Next, I will review the results of professional active investment managers.  A 1997 study was conducted on 1,892 diversified equity funds [3].  It encompassed monthly returns from January 1962 to December 1993.  In an average year the study comprised 509 mutual funds with an average expense ratio (without load) of 1.14% and an annual turn ratio of 77% of their assets.  For the full sample, 64.5% of the funds charged a load fee averaging 7.3%.  It was noted that fund expenses reduced performance on a one-to-one ratio and that transactions reduced performance by 95 basis points for each buy and sell transactions.  The study concluded that mutual fund managers do not have superior stock picking skills and that the major difference in returns was due to the mutual fund expense ratios, portfolio turnover and transaction costs.

The study also noted that large returns are relatively short lived.  It showed that the one-year return persistence was mostly eliminated after one year.  That is, a high number of the top-decile funds dropped to lower ranks in a relatively short period of time.

In the response to whether technical analysis can lead to increased portfolio returns, studies have found that future security prices cannot be predicted from past behavior.  In fact, a study by Malkiel suggests that there is no relationship at all between a fund's past performance and its future performance [4].  Malkiel studied whether a mutual fund investor could put together a mutual fund portfolio, based on past performance track records, and generate superior returns.  Several scenarios were examined to create this elite portfolio.  The two scenarios chosen were: 1) the purchase of top performing funds; and 2) purchasing the Forbes “honor roll” funds.  The rate of return presented in both strategies did not include sales charges and load fees.

The first strategy involved ranking the funds based on their prior 12-month returns and then purchasing the top 10, top 20, top 30 and the top 40 funds.  Starting with a purchase in January 1973, based on the prior 12-month returns, the investor would then annually switch to the top performing funds from the prior year.  This would ensure that the investor would constantly hold the top performing funds.

The second study used Forbes (the most popular investors' magazine) “honor roll” mutual funds.  To make the Forbes honor roll, a mutual fund has to have a long history (usually 10 years or more) of performance and must meet certain consistency goals.  Honor roll mutual funds must have performed well in both up and down markets.  They must be in the top one half of all performers in the down markets. 

The results of the first scenario are presented in Table 2.2.  In the first two segments, the simulated returns are higher than the S&P. In the last two segments, the simulated returns are approximately equal to the S&P 500.  However, none of these returns include sales charges and load fees.  Alone, the average sales load for these funds was 8%.  You may recall that, each year, the assets are moved to the prior year's best performers to achieve these results.  Adding in these costs would have a large negative impact on the simulated funds' returns.  Thus, with fees taken into account, it is clear that buying past top performers does not increase one's chances for better future returns.  In fact, it reduces them.

Table 2.2

 

1973-1977

1978-1981

1982-1986

1987-1991

Top 10 funds of prior year

4.36

26.73

19.96

14.59

Top 20 funds of prior year

4.39

25.23

19.70

13.95

Top 30 funds of prior year

4.54

24.54

19.71

14.28

Top 40 funds of prior year

4.17

23.90

20.11

14.31

S&P Return

-0.18

12.29

19.80

15.29

 

 

 

 

 

    The second scenario (buying the Forbes “honor roll”) fared even worse.  Table 2.3 shows that honor roll investors were ahead in the first eight years but behind in the last eight years.  As before, one must realize that the returns do not include sales loads or training cost which would significantly affect the returns to the downside.  Over the full 16 years, honor roll investors fared slightly worse than the S&P 500.  Once sales load and trading costs are incorporated into these results, investors in the honor roll funds would have been considerably behind the S&P returns.

Table 2.3

 

Honor Roll Funds (Excluding Loads)

S&P 500

Average annual 8- year Return (1975-1982)

16.57

13.32

Average annual 8- year Return (1983-1990)

10.46

16.43

Average annual 16-Year Return (1975-1990)

13.48

14.86

 As Burton Malkiel states in a 1995 article from the Journal of Finance, “Most investors would be considerably better off purchasing a low expense index fund, than by trying to select an active fund manager who appears to possess a 'hot hand.'  Since active management generally fails to provide excess returns and tends to generate greater tax burden for its investors, the advantage of passive management holds, a fortiori" (p. 571).

An equally interesting part of Malkiel's study investigated whether greater mutual fund management expense would lead to superior returns.  The study analyzed all mutual funds that were in existence from  1982 to 1991 and investigated whether returns increase with increased management expense (i.e. more stock research). The study separated advisory and non-advisory expense.  This was done to remove non-advisory expense from the equation since non-advisory expenses (ex. 12b-1, advertising, administration, etc.) should not be expected to enhance fund performance.  In either case, with or without non-advisory expense, analysis of the data did not find any significant relationship between performance and the level of fund expenses.  The study went one step further and removed nine funds with extremely high expense to reduce the variability.  The findings of this analysis were the same as before.  In the words of Malkiel, “The data do not give one much confidence that investors get their money’s worth from investment advisory expenditures” (p. 570).

Let's summarize this review of empirical research on active management data.  A review of 78,000 individual investor accounts found that after sales loads and trading fees investors did not beat the S&P 500 from 1991 to 1996.  In a study on 1,892 diversified equity funds (i.e. professional active managers) over 30 years (1962-1993) it was noted that the managers did not possess superior stock picking skills.  Lastly, we have indicated that technical analysis simply does not work over the long term.  In a review of buying recent top performing mutual funds or buying the Forbes honor roll funds, it was shown that neither strategy increased one's chances for better returns.

Works Cited

1. Rudd, Henry and Henry Clasing, Jr.  Modern Portfolio Theory: The Principles of Investment Management. Orinda: Andrew Rudd, 1988.

2. Barber, Brad M. and Terrance Odean.  The Common Stock Investment Performance of Individual Investors. University of California at Davis and University of California, Davis - Graduate School of Management. 1998 Working Paper Series

3. Carhart, Mark M. "On Persistence in Mutual Fund Performance." The Journal of Finance, Vol. 52, No. 1. (Mar., 1997), pp. 57-82.

4. Malkiel, Burton G. "Returns From Investing in Equity Mutual Funds 1971 to1991." The Journal of Finance, Vol. 50, No. 2. (Jun., 1995), pp. 549-572.

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