Abstract
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 effect but has the disadvantage that all commonly used tests for normality have minimum power.
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