The suitability of the elliptical distribution to model asset returns
in applied work is examined. Two frameworks are identified: the first
framework allows for normality testing but fails to capture the GARCH
effect present in the data; the second framework captures the GARCH ef
fect but has the disadvantage that all commonly used tests for normali
ty have minimum power.