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5.2Definitions5.2.1 Manager RatingsSince more than 95% of mutual funds are actively managed, the various mutual fund ratings exist primarily for manager pickers. However, a recent review of these ratings show a wide variation in rating methods and results. For example, the same four funds were rated according to four different publications. Table 5-1 reveals the results.
On this table, funds
A, B, C, and D are actual mutual funds. They are not identified because
the purpose of this illustration is not to sell a particular security.
It is to emphasize that ratings, in and of themselves, do not provide
enough information for making an investment decision. 5.3 Problems5.3.1 Past Performance is No Guarantee of Future Results Kenneth French explains why Manager Picking is such a terrible idea. The Abstract from The Selection and Termination of Investment Management Firms by Plan Sponsors Figure 5-A
In November 2007, two actual hiring decisions at a foundation were analyzed to verify the above findings. As seen by the two charts below, the study of 8,755 hirings matched the live results of two managers at the foundation. ![]() ![]() ![]() ![]() ![]() ![]()
![]() Figure 5-J ![]() In further support of this underperformance of institutions, take a look at this chart from the National Association of College and University Business Officers (NACUBO), which is an organization with membership totaling more than 2,500 U.S. colleges and universities. In part, NACUBO provides comprehensive annual data that reports on the financial status of university endowments, and is the industry standard for such information. The five charts below
show 1, 3, 5 and 10 year comparisons for various levels of asset pools versus comparable IFA Index Portfolios. The specific IFA Index Portfolios were selected based on the
average asset allocations of equities and fixed income/cash equivalents,
as provided by NACUBO. For the asset levels shown, the comparable IFA Index Portfolios outperformed the average
endowment's return. This demonstrates that IFA has a better set of benchmarks
than those probably used by these institutions. Additionally, the IFA Index Portfolios' returns were derived through global diversification, risk
and return optimization, investment transparency and no use of speculation
or leverage. Figure 5-Ka Figure 5-L
![]() ![]() ![]() ![]() Figure 5-P Figure 5-Q From the Discussion at the end of The Selection and Termination of Investment Management Firms by Plan Sponsors: "How does one interpret this evidence? One way to think about this is in terms of opportunity costs and frictions. For hiring decisions that are necessitated by the termination of an existing investment manager (due to performance, organizational or reallocation reasons), the opportunity costs of hiring can be identified as the returns that the fired manager would have delivered relative to what the hired manager actually delivers. Our round-trip results suggest that these opportunity costs are positive." And from the Conclusion: "In this paper, we examine the selection and termination of investment managers by plan sponsors. To do so, we build a dataset that comprises hiring and firing decisions by 3,600 plan sponsors over a 10-year period from 1994 to 2003. We find that plan sponsors hire investment managers after these managers earn significant excess returns. Post-hiring returns, however, are statistically indistinguishable from zero [IFA inserted comment: after management fees and transistion costs they are decidedly negative]. In contrast, plan sponsors terminate investment managers after poor performance but the performance of these investment managers appears to rebound after firing. We also examine a set of round-trip firing and hiring decisions and find that the post-firing returns of fired investment managers are generally larger than the post-hiring returns of hired investment managers. Given the magnitude of the return differences, and the transactions costs associated with transitioning portfolios from fired investment managers (legacy portfolios) to hired investment managers (target portfolios), our results suggest that the termination and selection of investment managers is a costly endeavor." Active managers have often told me that academics don't see the real world from their ivory towers, but it appears that they do a better predictor of outcomes than the manager pickers who selected these managers. This data are all that is needed to prove that manager picking doesn’t work and is not a good basis on which to invest money. But there is more for the Doubting Thomas' among you.
Figure 5-R Figure 5-S Figure 5-T Note: The sample size of 188 is based on the number of actively managed funds in the Morningstar categories/equity style boxes of large blend, large growth, large value, small blend, small growth, and small value with the same manager for at least 10 years.Figure 5-U Note: The sample size of 188 is based on the number of actively managed funds in the Morningstar categories/equity style boxes of large blend, large growth, large value, small blend, small growth, and small value with the same manager for at least 10 years.Figure 5-V Note: The sample size of 188 is based on the number of actively managed funds in the Morningstar categories/equity style boxes of large blend, large growth, large value, small blend, small growth, and small value with the same manager for at least 10 years.Figure 5-W Note: The sample size of 39 is based on the number of actively managed funds in the Morningstar categories/equity style boxes of large blend, large growth, large value, small blend, small growth, and small value with the same manager for at least 20 years.5.3.2 Persistence in Track Records Once again you can
see that manager picking is virtually impossible. As Bob Dylan said in
the last verse of his tune, “The Times they are a Changin,”
“the first one now will later be last, for the times they are a
changin’.” Figure 5-2
The top 30 mutual
funds for sequential five-year periods from 1971 to 2002 are charted in
Table 5-2 (left column), along with the performance of
each period’s same top 30 funds for the subsequent period up to
1998 (right column). In each case, the so-called “great 30 funds”
did worse than the S&P 500 in subsequent years. This is further proof
that the funds’ great Table 5-2 Manager Picking is a Mug’s Game Once again, Standard & Poors has issued their Standard & Poor�s Indices Versus Active Funds Scorecard (SPIVA �) and the S&P Persistence Scorecard report on the performance of active funds, adjusted for survivorship bias. For those who believe they can pick the next winning manager in any category, the results are not encouraging. For the last five years (the longest period analyzed), 65.6% of all domestic equity funds failed to beat a style-based benchmark. Of the 2,077 that existed at the beginning of the period, 507 (24.4%) were either liquidated or merged into other funds. Furthermore, only 1,056 (50.9%) maintained style consistency during the whole period. The especially bad news is that returns used for the active funds excluded the impact of loads. For a fund that charges a 5% load, the five year annualized return would have been about 1% lower. This means that many more of them would have failed to beat their benchmark. The story does not get any better for actively managed international equity funds, where 72.8% failed to beat their benchmark. This once again belies the often-made claim that indexing does not work for international equities. For real estate funds, 68.8% failed to beat their benchmark. Lastly for fixed income, 76.2% failed to beat their benchmark. It is worth noting that the last five years included the most severe bear market since the Great Depression, so those who claim that active managers add value by avoiding down markets would have a difficult time explaining why the majority failed to beat benchmarks that were 100% invested the entire time. Figure 5 For those who claim that SPIVA is irrelevant because they will somehow avoid the loser managers, the S&P Persistence Scorecard provides a thorough refutation. Specifically, this report answers the question of whether good relative performance can be expected to persist year after year, which is what we would expect to see if the market were inefficient, opening up the possibility for a select group of managers to be in the upper half or upper quartile of their peer group year after year. Unfortunately for Manager Pickers, the answer is a resounding no. For example, of the 542 domestic equity funds that landed in the top quartile in the first year of the five-year period, zero stayed in the top quartile in all of the remaining years. Even when the funds were separated into different size categories, the zero result remained constant. Of the 1,083 domestic equity funds that landed in the top half in the first year of the five-year period, only 45 stayed in the top half in all of the remaining years. By chance alone, however, there should have been 68! Figure 5 In other words, the results for manager persistence were worse than what would be expected if all the managers were monkeys throwing darts at the Wall Street Journal. The odds against successful Manager Picking are daunting indeed. The inescapable conclusion of the Standard & Poor�s reports is that the only way to win the mug�s game of Manager Picking is not to play. An investment strategy that focuses on investing in index funds using an asset allocation method does not require chasing the recent performance of a particular money manager or index because that index is already known to be a winner over the long term. Seventy-five percent of mutual fund inflows typically follow the previous year’s “winners,” usually based on the Morningstar Rating for funds. As already stated, a Dalbar study concluded that the average investor holds a mutual fund for 4.2 years. The result of this short-term holding pattern is a phenomenon called “investor whipsaw.” Please look forward for Tables 5-3 through 5-15. These tables provide an interesting analysis of managers’ performance over time. They track the rankings of the top 10 mutual funds from one year into future years. The total number of mutual funds for each year is listed at the bottom of each column. The managers are tracked up to 2004 to see how those “great funds” from the first years did in subsequent periods. The total number of mutual funds for each year is listed at the bottom of each column. The managers are tracked up to 2006 to see how those "great funds" from the first years did in subsequent periods. The results are similar, whether looking at all funds or one asset class. Tables 5-13 through 5-15 show the top ten managers of specific asset classes and their subsequent performance. As the tables show, those funds that were the winners in one year performed poorly in subsequent years. For the top ten managers from 1996 (Table 5-12), the highest ranked from that group fell to 4,695 out of 6,348 in 2006. And the number eight performer from 1996 came in at 5,330 out of 6,348, and was outperformed by 84% of his peers--quite a tumble indeed. Figure 5-5
illustrates how investors can get whipsawed after buying a top fund. It
lists the top 10 mutual funds in 1991, then tracks them by decile rankings
through 2001. A 100th percentile rank means that those funds performed
in the top one-hundredth of all funds that year. Note continued randomness
of future percentile rankings. After wildly bouncing around, eight of
the 10 funds ended up in the lower 50th percentile at the end of the 10
years. The other two landed in the lower 60th percentile. The long-term
performance of each fund was neither consistently good nor consistently
poor. ![]()
As Bob Dylan stated in the The Times They are a
Changin': |
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