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We establish a relation between stochastic volatility models and the class of generalized hyperbolic distributions …
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Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric …
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find that the volatility depends on either the interest rate level or information shocks but not on both. Finally, we … propose to describe the short term interest rate's dynamics by means of an AR(1) model with stochastic volatility. -- Term … Structure Models ; Stochastic Volatility ; ARCH …
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We consider two multivariate long-memory ARCH models, which extend the univariate long-memory ARCH models, we first consider a long-memory extension of the restricted constant conditional correlations (CCC) model introduced by Bollerslev (1990), and we propose a new unrestricted conditional...
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- 1998, namely FX-rates measured against the US dollar (USD) and the Japanese yen (JPY). Ta account for volatility e1ustering … prices. Having identified subperiods of homogeneous volatility dynamics we concentrate on stylized facts to distinguish these … volatility regimes. The bottom level of estimated volatility turns out be considerably higher during the second part of the …
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Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on …
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prices caused by stochastic volatility. -- option pricing ; autoregression ; heteroskedasticity ; GARCH ; leverage effect …
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