December 10th, 2002, 9:05 am
In standard portfolio theory, either you assume that your utility function is quadratic or the distribution of returns is normal. In a nutshell, that is the reason why it is call mean-variance theory. Therefore, either you care only about the low moments of the distribution or mean-variance are enough to account for the distribution.Though it was a pathbreaking analysis, you have several reasons to distrust: why should you care about only the mean and variance?; at the same time, why the distribution of returns should be well behaved?Regarding the first issue: after portfolio theory, Markwotiz (with Levy and other people) published several papers trying to justify the use of a quadratic utility function showing that it represents a large class of relevant cases (I do not like this effort but it is worth reading it!). Regarding the second issue, there are many attempts to deal with it. On the utility side, larger moments, stoch dominance, downside risk. On the returns side, testing for leptokurtosis, skewness.I tried to put it as simple as possible.