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Benchmarks and Performance Evaluation

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See also Mutual Funds, Consultants and Money Managers, and Historical Data

You can't manage what you can't measure.
William Hewlett

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Trivia: According to Barr Rosenberg, how many years of observations would it take to show conclusively that even 200 basis points of incremental annual return resulted from superior investment management skill rather than chance? Answer

Background

     Benchmarks are used to determine relative performance of portfolios and securities. They are particularly useful in evaluating mutual funds and money managers. Morningstar and Lipper Analytical Services are two of the many services that track and analyze mutual fund performance. Most investment Consultants also evaluate money managers and funds vis-a-vis benchmarks and other money managers and funds. Some mutual funds' fees are now tied to the funds performance relative to a benchmark. For example, Fidelity Magellan's annual management fee is determined in part by the funds relative performance versus the S&P 500.

     The commonly used benchmarks for measuring stock returns are the S&P 500 for stocks in general and big caps, the Wilshire 5000 and the Russell 3000 for the US market in general, the Russell 2000 for small stocks, and the Morgan Stanley EAFE for International Portfolios.

     Generally, experts recommend using benchmarks that are unambiguous, investable (using a median is not an investable option), measurable, specified in advance, and are appropriate and consistent with the managers style. Still, investors should be aware that performance evaluation has two basic problems.

  1. Many observations are needed for significant results.
  2. Shifting parameters during active management complicate performance valuation.

     In addition to returns, its often helpful to analyze risk measures. The following are commonly used risk adjusted performance measures.

Trivia Answer: 70 years
Source: Investment Policy: How to Win the Loser's Game by Charles D. Ellis

See also Do Past Winners Repeat? and
Cherry-Picking: Survivorship Bias, Creation Bias and Other Performance Issues.

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