Bayesian Methods in Finance
Frank J. Fabozzi
Author: Svetlozar T. Rachev
Author: John S. J. Hsu
Author: Biliana S. Bagasheva
Author: Frank J. Fabozzi, CFA
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.
Svetlozar T. Rachev
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. <br>
John S. J. Hsu
<br>John S. J. Hsu, PhD, is Professor of Statistics and Applied Probability at the University of California,
Santa Barbara. <br>
Biliana S. Bagasheva
<br>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, CFA
<br>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.