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Generalized autoregressive conditional heteroskedasticity (GARCH) processes have become very popular as models for financial return data because they are able to capture volatility clustering as well as leptokurtic unconditional distributions which result from the assumption of conditionally...
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The paper advances the log-generalized gamma distribution as a suitable generator of conditional skewness. Based on the … NYSE composite daily returns an asMA-asQGARCH model along with skewness dynamics is estimated. The results indicate a … skewness that varies between sizeable negative skewness and almost symmetry. The conditional variance and skewness measures are …
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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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