Equity: Diversity And Inclusion

We can think of an active equity portfolio as a combination of a benchmark (the S&P 500®, for example) and a set of active bets that measure the portfolio’s deviation from the benchmark. The relative size of the active bets is sometimes called “active share,” and is a convenient way to judge a manager’s aggressiveness. An active share of 0% is associated with an index fund; an active share of 100% implies that the manager has no holdings in common with his benchmark. (It may also imply that we’re using the wrong benchmark for the manager in question, but that’s another story.)

It’s been suggested that high active share is associated with outperformance, although the evidence on the question is far from conclusive. Although high active share may (or may not) be a necessary condition for active success, it cannot be a sufficient condition. Can an underperforming manager improve his results by randomly selling half the names in his portfolio, thus creating more concentration? Doing so will increase active share for sure, but it stretches credulity to think that such a course would automatically improve performance.

In our view, the stronger argument runs the other wayother things equal, more names are better than fewer. This is because stock market returns tend to be positively skewed. Rather than being symmetrically distributed around an average, return distributions typically have a very long right tail; a relatively small number of excellent performers has a disproportionate influence on the market’s overall return.

Exhibit 1 illustrates the skewness of the S&P 500 over the last 20 years. The median stock in the index returned 63%, while the index’s return was 322%. Only 22% of the names outperformed the index, which helps explain why active results have been so disappointing. When a randomly chosen stock has roughly one chance in five of beating an index fund, successful stock selection is very difficult. A portfolio manager who opts to concentrate his holdings will need a level of predictive accuracy that most portfolio managers demonstrably do not have.

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