Give a monkey enough darts and she will eventually hit the bulls-eye on a dartboard. We wouldn’t dare consider that monkey an expert dart thrower, but investment professionals have been using essentially that same logic to assert that their strategies – often called “smart betas” – will outperform the market. New research exposes the faulty mathematics upon which such claims are based.See also:
Early this month, four academicians — David H. Bailey and Marcos Lopez de Prado of Lawrence Berkeley National Laboratory, Jonathan M. Borwein of the University of Newcastle in Australia and Qiji Jim Zhu of Western Michigan University — posted a paper on the Social Science Research Network saying deservedly harsh things about backfitting abuses in investment management. “Recent computational advances allow investment managers to search for profitable investment strategies,” the authors wrote. “In many instances, that search involves a pseudo-mathematical argument, which is spuriously validated through a simulation of its historical performance (also called a backtest).”
They feel strongly enough about these abuses to write: “We would like to raise the question of whether mathematicians should continue to tolerate the proliferation of investment products that are misleadingly marketed as mathematically founded.”
Their statements apply, however, beyond conventional backfitting methodology. Several prominent recent claims for investment strategies have been based on the same one-two punch that the authors decry: a pseudo-mathematical argument combined with historical performance that may or may not be repeated in the future.
We will explain the backtesting addressed in their paper. Then we will consider arguments in favor of “smart beta,” which were bolstered by a widely read article in the July 6 issue of The Economist.
The passive superego tussles with the active id
It is a human tendency to assume that past trends can be extrapolated into the future, but it is widely known that this assumption is not valid when it comes to investment returns.
Nevertheless, many claims for particular investment strategies do present past returns. Investors either can’t let go of the intuition that past returns must predict future returns, or they don’t know that this has been disproven. For example, almost all mutual fund advertising is based on past returns data....MUCH MORE
The Effect of Academia on Market Anomalies
"Traders Copy Academics Who Copy Traders: 'Does Academic Research Destroy Stock Return Predictability?'"
AQR--"Demystifying Managed Futures" (Returns and Anomalies)
Whoa! Has The Small-Cap Premium Disappeared? That Would Leave Only Momentum in the Tried-and-True Anomaly File!