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standard approaches (student-t-distribution, log normal, historical simulation) and sophisticated volatility models (EWMA …, GARCH (1,1)) both have been used to estimate the VaR of mutual funds in the Saudi Stock Exchange between June 2017 and June … predicting VaR. The empirical coverage probability of the models reveals that EWMA was able to capture VaR better than the other …
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employed in a bivariate GARCH model, where the joint distribution of the disturbances is split into its marginals and its …-dependent distribution. -- value-at-risk ; copula ; non-normal bivariate GARCH ; asymmetric dependence ; profile likelihood-ratio test …
Persistent link: https://www.econbiz.de/10009725481
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Developments in the world of finance have led the authors to assess the adequacy of using the normal distribution assumptions alone in measuring risk. Cushioning against risk has always created a plethora of complexities and challenges; hence, this paper attempts to analyse statistical...
Persistent link: https://www.econbiz.de/10012795821
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In this research paper ARCH-type models and option implied volatilities (IV) are applied in order to estimate the Value-at-Risk (VaR) of a stock index futures portfolio for several time horizons. The relevance of the asymmetries in the estimated volatility estimation is considered. The empirical...
Persistent link: https://www.econbiz.de/10012292347
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applied within a Bayesian analysisof a GARCH-mixture model which is used for the evaluation of theValue-at-Risk of the return …
Persistent link: https://www.econbiz.de/10011302625
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