Quote:
Originally Posted by michiganmoon
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As others have said this is not a new result. What is interesting with this is the back story.
Most financiers and economists believe there is an inherent relationship between risk and return - investors will demand a higher return for more risk. This led to CAPM (for which Markowitz and Sharpe received a Nobel Prize) which says there is a linear relationship between risk (as measured with volatility) and return.
But over time people noticed what the GMO article pointed out: that the relationship is not linear, there are other things that affect returns. This led to the famous Fama-French model for returns, for which Fama won a Nobel Prize. That model also relies heavily on risk but includes two other "factors" in predicting returns.
Since then Fama-French has been found lacking also and now people are looking at models with 5-7 factors that are used to predict returns. There are some mutual funds that are built on this "factor investing" model, but volatility continues to be a key factor in all these models.
The bottom line is that it is not that high volatility stocks fail, it is that the
risk-adjusted return of high volatility stocks is lower than the risk-adjusted return of low volatility stocks, on average, violating CAPM. But if you look at just the return, not the risk-adjusted return, it is higher for higher volatility stocks, on average, but clearly investors are not being sufficiently compensated for the risk they are taking with higher volatility stocks.