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following parameters are varied: the riskless return, the market standard deviation, the market stock premium, and the skewness … and the kurtosis of the risky return. Both the high extremes and the low extremes are considered. With these figures, the …
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measures the increase in kurtosis due to the polynomial expansion, can be estimated so as to make the resulting distribution … capable of describing the empirical kurtosis found in the data. An application of the Gram-Charlier-like expansions to a set …
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forecasting. We consider option-implied volatilities, skewness, kurtosis, and densities. More generally, we discuss how any …
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Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been employed for modeling financial return data. We consider a mixed-normal distribution coupled with a GARCH-type structure which allows for conditional variance in each of the...
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skewness and excess kurtosis allowing researchers to identify departures away from gaussianity in both error components of a …
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