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The use of GARCH models with stable Paretian innovations in financial modeling has been recently suggested in the literature. This class of processes is attractive because it allows for conditional skewness and leptokurtosis of financial returns without ruling out normality. This contribution...
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Efficient posterior simulators for two GARCH models with generalized hyperbolic disturbances are presented. The first model, GHt-GARCH, is a threshold GARCH with a skewed and heavy-tailed error distribution; in this model, the latent variables that account for skewness and heavy tails are...
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heteroscedstic (IGARCH) processes under both normal and Student’s t-distribution assumptions for errors. Results and Conclusions: It … was found that, in contrast with the normal distribution, the application of Student’s t-distribution for errors helped …
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This study provides the first examination of the Canadian implied volatility indexes for forecasting future volatility. Introduced by Montreal exchange in 2010, the model-free implied volatility index for the Canadian stock market, the VIXC, outperforms the previously used model-based index, the...
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