Kurtosis risk
In statistics and decision theory, kurtosis risk is the risk that results when a statistical model assumes the normal distribution, but is applied to observations which have a tendency to occasionally be much further (in terms of number of standard deviations) from the average than is expected for a normal distribution. == Overview == Kurtosis risk applies to any kurtosis-related quantitative model that assumes the normal distribution for certain of its independent variables when the latter may in fact have kurtosis much greater than does the normal distribution.