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The extremal coefficient function has been discussed as an analog of the autocovariance function for extreme values. However, as to the behavior of valid extremal coefficient functions little is known apart from their positive definite type. In particular, the reconstruction of valid processes...
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multivariate t. This result is then applied to models of conditionally random volatility and used to derive exact results for the …
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The financial econometrics literature includes several multivariate GARCH models where the model parameter matrices depend on a clustering of financial assets. Those classes might be defined a priori or data-driven. When the latter approach is followed, one method for deriving asset groups is...
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model in several ways, it allows for all the primary stylized facts of financial asset returns, including volatility … volatility, but without the estimation problems associated with the latter, and being applicable in the multivariate setting for …
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can generate a plausible disaggregation of the conditional variance process, in which the components' volatility dynamics …
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We establish a relation between stochastic volatility models and the class of generalized hyperbolic distributions …
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