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Bayesian Inference for Multivariate t Copulas Modeling Financial Market Risk
(2011)The main objective of this thesis is to develop a Markov chain Monte Carlo (MCMC) method under the Bayesian inference framework for estimating meta-t copula functions for modeling financial market risks. The complete posterior distribution of the copula parameters resulting from Bayesian MCMC allows further analysis such as calculating the risk measures that incorporate the parameter uncertainty. The simulation study of the fictitious and ...Master Thesis