| 书目名称 | Financial Risk Management with Bayesian Estimation of GARCH Models | | 副标题 | Theory and Applicati | | 编辑 | David Ardia | | 视频video | | | 丛书名称 | Lecture Notes in Economics and Mathematical Systems | | 图书封面 |  | | 描述 | This book presents in detail methodologies for the Bayesian estimation of sing- regime and regime-switching GARCH models. These models are widespread and essential tools in n ancial econometrics and have, until recently, mainly been estimated using the classical Maximum Likelihood technique. As this study aims to demonstrate, the Bayesian approach o ers an attractive alternative which enables small sample results, robust estimation, model discrimination and probabilistic statements on nonlinear functions of the model parameters. The author is indebted to numerous individuals for help in the preparation of this study. Primarily, I owe a great debt to Prof. Dr. Philippe J. Deschamps who inspired me to study Bayesian econometrics, suggested the subject, guided me under his supervision and encouraged my research. I would also like to thank Prof. Dr. Martin Wallmeier and my colleagues of the Department of Quantitative Economics, in particular Michael Beer, Roberto Cerratti and Gilles Kaltenrieder, for their useful comments and discussions. I am very indebted to my friends Carlos Ord as Criado, Julien A. Straubhaar, J er ^ ome Ph. A. Taillard and Mathieu Vuilleumier, for their support in | | 出版日期 | Book 2008 | | 关键词 | Bayesian; Financial Risk Management; GARCH; MCMC; Risk Management; decision theory; regression; statistics; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-78657-3 | | isbn_softcover | 978-3-540-78656-6 | | isbn_ebook | 978-3-540-78657-3Series ISSN 0075-8442 Series E-ISSN 2196-9957 | | issn_series | 0075-8442 | | copyright | Springer-Verlag Berlin Heidelberg 2008 |
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发表于 2025-3-21 16:24:53
