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volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are …
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In this paper we employ the wavelet multiple correlation and the wavelet multiple cross-correlation to investigate the behaviour of exchange rates in the Central and Eastern Europe (CEE). This novel approach takes care of several limitations which are encountered when conventional pair wise...
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domestic volatility after good shocks but a bad hedge after crashes …
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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...
Persistent link: https://www.econbiz.de/10009765347
allowing the conditional variance of a particular market to depend on past volatility shocks in other markets. The inter …. Extending the model to incorporate leverage effects leads to further improvement in the volatility fit. We compare weight …
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