Volatility Gremlins

Readers have been emailing me about the returns of the models I have presented in the last few posts. Rather than respond to all of them individually, I thought I would just post the year by year returns for the S&P500, the 1-Year MO model, the 1-Month MO model, and a combo of the two models. Recall that no estimates have been subtracted for commissions, fees, or taxes.

(You may have to click on the Table to get it to open in a separate window for better viewing)…

You will notice the effect the higher volatility has on reducing average return to a lower CAGR than a lower volatility with the same return. Ed Easterling [2006] has a good discussion of these “volatility gremlins” in John Mauldin’s Book, “Just One Thing”.

(Note: The combo model is a simple average of the other two models, rebalanced yearly. The drawdown figure is an estimate.)

View Comments to “Volatility Gremlins” (Leave a Comment)


  1. tom k says:

    Thanks for posting your momentum research. Very interesting.

    Tim Hayes of Ned Davis Research (The Research Driven Investor) recommends averaging momentum from several periods. Also, most of the other momentum research I’ve read seems to indicate that 1 month is about the shortest time frame where the momentum anomaly still works, and 1 year is about the longest.

    I use a momentum model to rank U.S. sectors and Intl. ETFs – it uses an average of 30 day, 90 day, 180 day, and 253 day (1 year) momentum. I’ve been using it over the past 3 years and it works very well.

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