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There is increasing demand for models of time-varying and non-Gaussian dependencies for mul- tivariate time-series. Available models suffer from the curse of dimensionality or restrictive assumptions on the parameters and the distribution. A promising class of models are the hierarchical...
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We investigate the dynamics of the relationship between returns and extreme downside risk in different states of the market by combining the framework of Bali, Demirtas, and Levy (2009) with a Markov switching mechanism. We show that the risk-return relationship identified by Bali, Demirtas, and...
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Despite an extensive body of research, the best way to model the dependence of exchange rates remains an open question. In this paper we present a new approach which employs a flexible time-varying copula model. It allows the conditional correlation between exchange rates to be both time-varying...
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This paper uses copulas to model the joint survival within the groups of hedge funds and funds of funds managed by the … capture the dependence caused by extreme events in the tails. The study employs both one and two-parameter families of copulas …
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assumptions compared with linear correlations. The use of copulas allows for a more reliable estimation of extreme yield … occur every 15 years. -- crop yield risk ; fully nested hierarchical Archimedean copulas (FNAC) ; price boom …
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copulas are analysed in a comprehensive empirical study using data for stocks, commodities and FX futures. In particular, I …
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