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This paper describes a GAUSS program of a Markov-chain sampling algorithm for GARCH models proposed by Nakatsuma (1998 …). This algorithm allows us to generate Monte Carlo samples of parameters in a GARCH model from their joint posterior … distribution. The samples obtained by this algorithm are used for Bayesian analysis of the GARCH model. As numerical examples …
Persistent link: https://www.econbiz.de/10014620814
This paper describes a GAUSS program of a Markov-chain sampling algorithm for GARCH models proposed by Nakatsuma (1998 …). This algorithm allows us to generate Monte Carlo samples of parameters in a GARCH model from their joint posterior … distribution. The samples obtained by this algorithm are used for Bayesian analysis of the GARCH model. As numerical examples …
Persistent link: https://www.econbiz.de/10005751406
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This book presents methodologies for the Bayesian estimation of GARCH models and their application to financial risk … paradigm for inference. The next three chapters describe the estimation of the GARCH model with Normal innovations and the …
Persistent link: https://www.econbiz.de/10013520959