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Financial Risk Management with Bayesian Estimation of GARCH Models
Theory and Applications
Taschenbuch von David Ardia
Sprache: Englisch

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Beschreibung
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 the elds of economics, mathematics and statistics. Thanks also to my friend Kevin Barnes who helped with my English in this work. Finally, I am greatly indebted to my parents and grandparents for their support and encouragement while I was struggling with the writing of this thesis.
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 the elds of economics, mathematics and statistics. Thanks also to my friend Kevin Barnes who helped with my English in this work. Finally, I am greatly indebted to my parents and grandparents for their support and encouragement while I was struggling with the writing of this thesis.
Inhaltsverzeichnis
Bayesian Statistics and MCMC Methods.- Bayesian Estimation of the GARCH(1, 1) Model with Normal Innovations.- Bayesian Estimation of the Linear Regression Model with Normal-GJR(1, 1) Errors.- Bayesian Estimation of the Linear Regression Model with Student-t-GJR(1, 1) Errors.- Value at Risk and Decision Theory.- Bayesian Estimation of the Markov-Switching GJR(1, 1) Model with Student-t Innovations.- Conclusion.
Details
Erscheinungsjahr: 2008
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Reihe: Lecture Notes in Economics and Mathematical Systems
Inhalt: xiv
206 S.
27 s/w Illustr.
206 p. 27 illus.
ISBN-13: 9783540786566
ISBN-10: 3540786562
Sprache: Englisch
Herstellernummer: 12242313
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Ardia, David
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Lecture Notes in Economics and Mathematical Systems
Maße: 235 x 155 x 13 mm
Von/Mit: David Ardia
Erscheinungsdatum: 29.05.2008
Gewicht: 0,341 kg
Artikel-ID: 101849401
Inhaltsverzeichnis
Bayesian Statistics and MCMC Methods.- Bayesian Estimation of the GARCH(1, 1) Model with Normal Innovations.- Bayesian Estimation of the Linear Regression Model with Normal-GJR(1, 1) Errors.- Bayesian Estimation of the Linear Regression Model with Student-t-GJR(1, 1) Errors.- Value at Risk and Decision Theory.- Bayesian Estimation of the Markov-Switching GJR(1, 1) Model with Student-t Innovations.- Conclusion.
Details
Erscheinungsjahr: 2008
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Reihe: Lecture Notes in Economics and Mathematical Systems
Inhalt: xiv
206 S.
27 s/w Illustr.
206 p. 27 illus.
ISBN-13: 9783540786566
ISBN-10: 3540786562
Sprache: Englisch
Herstellernummer: 12242313
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Ardia, David
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Lecture Notes in Economics and Mathematical Systems
Maße: 235 x 155 x 13 mm
Von/Mit: David Ardia
Erscheinungsdatum: 29.05.2008
Gewicht: 0,341 kg
Artikel-ID: 101849401
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