Bayesian Methods in Finance ( Frank J. Fabozzi Series )

Publication series :Frank J. Fabozzi Series

Author: Svetlozar T. Rachev  

Publisher: John Wiley & Sons Inc‎

Publication year: 2008

E-ISBN: 9780470249246

P-ISBN(Hardback):  9780471920830

Subject: F8 Finances

Language: ENG

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Description

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.

Chapter

Contents

pp.:  1 – 9

Preface

pp.:  9 – 17

About the Authors

pp.:  17 – 19

CHAPTER 1 Introduction

pp.:  19 – 23

CHAPTER 2 The Bayesian Paradigm

pp.:  23 – 28

CHAPTER 4 Bayesian Linear Regression Model

pp.:  44 – 65

CHAPTER 5 Bayesian Numerical Computation

pp.:  65 – 83

CHAPTER 6 Bayesian Framework for Portfolio Allocation

pp.:  83 – 114

CHAPTER 7 Prior Beliefs and Asset Pricing Models

pp.:  114 – 140

CHAPTER 8 The Black-Litterman Portfolio Selection Framework

pp.:  140 – 163

CHAPTER 9 Market Efficiency and Return Predictability

pp.:  163 – 184

CHAPTER 10 Volatility Models

pp.:  184 – 207

CHAPTER 11 Bayesian Estimation of ARCH-Type Volatility Models

pp.:  207 – 224

CHAPTER 12 Bayesian Estimation of Stochastic Volatility Models

pp.:  224 – 251

CHAPTER 13 Advanced Techniques for Bayesian Portfolio Selection

pp.:  251 – 269

CHAPTER 14 Multifactor Equity Risk Models

pp.:  269 – 302

References

pp.:  302 – 320

Index

pp.:  320 – 333

LastPages

pp.:  333 – 351

The users who browse this book also browse


No browse record.