A threshold model for time varying copulas

Abstract

We develop threshold models that allow copula functions or their association parameters changing across time. The number and location of thresholds is assumed unknown. We use a Markov chain Monte Carlo strategy combined with Laplace estimates that evaluate the required marginal densities for a given model. We apply our methodology to financial time series… (More)

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