"I would've created CAPM around semi-variance, but no one would have understood the math and I wouldn't have won Nobel Prize..." H.Markowitz
"I have set my life upon a cast,
Markowitz is probably right about his view on semi-variance, but
there have been advancements that can help us employ semi-variance in our
analysis. Still there is a need for more education on these dispersion
measures. One recent paper in the latest Journal of Alternative Investments by Chambers and Lu
called "Semi-volatility of Returns as a Measure of Downside Risk"
effectively addresses some issues with these downside risk measures. Chambers
and Lu develop the concept of semi-volatility as an alternative to semi-variance
for looking at downside risk. The semi-volatility is less sensitive to some of
the ambiguity that occurs with the number of sample observations in computing
the semi-variance. Their measure has intuitive appeal relative to total
variance and is easy to understand relative to skew and kurtosis which are both
sensitive to outliers.
The idea is simple. Use as the sample the number of occurrences
below the downside threshold and not the total sample. Of course, there is an
adjustment factor, but this measure accounts for the actual downside events as
opposed to the full sample which will reduce the impact of downside risk as the
sample increases.
We have looked at the case of one
manager who has two programs - a higher volatility version that is
trend-following and another program which is diversified across a number of
models. The diversified program has lower a volatility that makes it seem like
it is less risky and it also has lower semi-volatility. Nonetheless, this
semi-volatility is higher than what would be measured through the
semi-variance. It is consistent with the skewness measures for each program.
More importantly, it shows that the semi-volatility is higher for the
"less risky" program on a relative basis. We think this new
metric provides useful information on a manager's downside.
"I have set my life upon a cast,
And I will stand the hazard of the die."
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