Bayesian Inference and Quantile Forecasting for Jump GARCH Models

碩士 === 逢甲大學 === 統計與精算所 === 100 === In this thesis, inference, quantile forecasting, and model comparison for a jump GARCH model is investigated, where jump arrivals are time inhomogeneous and state-dependent. The Bayesian inference of jump GARCH via MCMC methods is employed to obtain better estimate...

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Bibliographic Details
Main Authors: Yi-Ru Lin, 林億茹
Other Authors: Cathy W. S. Chen
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/32303621188147063654