Bayesian Methods in Finance

Bayesian Methods in Finance provides a detailed overview of the theory of Bayesian methods and explains their real-world applications to financial modeling. While the principles and concepts explained throughout the book can be used in financial modeling and decision making in general, the authors focus on portfolio management and market risk management--since these are the areas in finance where Bayesian methods have had the greatest penetration to date.

Author: Svetlozar T. Rachev, John S. J. Hsu, Biliana S. Bagasheva
Publisher: Wiley
Published: 02/01/2008
Pages: 329
Binding Type: Hardcover
Weight: 1.21lbs
Size: 9.13h x 6.35w x 1.16d
ISBN: 9780471920830

About the Author

Svetlozar T. Rachev, PhD, Doctor of Science, is Chair-Professor at the University of Karlsruhe in the School of Economics and Business Engineering; Professor Emeritus at the University of California, Santa Barbara; and Chief-Scientist of FinAnalytica Inc.

John S. J. Hsu, PhD, is Professor of Statistics and Applied Probability at the University of California, Santa Barbara.

Biliana S. Bagasheva, PhD, has research interests in the areas of risk management, portfolio construction, Bayesian methods, and financial econometrics. Currently, she is a consultant in London.

Frank J. Fabozzi, PhD, CFA, is Professor in the Practice of Finance and Becton Fellow at Yale University's School of Management and the Editor of the Journal of Portfolio Management.

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