Description

Book Synopsis
Bayesian Methods in Finance explains and illustrates the foundations of the Bayesian methodology in clear and accessible terms. It provides a unified examination of the use of the Bayesian theory and practice to analyze and evaluate asset management.

Table of Contents

Preface xv

About the Authors xvii

CHAPTER 1 Introduction 1

CHAPTER 2 The Bayesian Paradigm 6

CHAPTER 3 Prior and Posterior Information, Predictive Inference 22

CHAPTER 4 Bayesian Linear Regression Model 43

CHAPTER 5 Bayesian Numerical Computation 61

CHAPTER 6 Bayesian Framework For Portfolio Allocation 92

CHAPTER 7 Prior Beliefs and Asset Pricing Models 118

CHAPTER 8 The Black-Litterman Portfolio Selection Framework 141

CHAPTER 9 Market Efficiency and Return Predictability 162

CHAPTER 10 Volatility Models 185

CHAPTER 11 Bayesian Estimation of ARCH-Type Volatility Models 202

CHAPTER 12 Bayesian Estimation of Stochastic Volatility Models 229

CHAPTER 13 Advanced Techniques for Bayesian Portfolio Selection 247

CHAPTER 14 Multifactor Equity Risk Models 280

References 298

Index 311

Bayesian Methods in Finance

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A Hardback by Svetlozar T. Rachev, John S. J. Hsu, Biliana S. Bagasheva

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    View other formats and editions of Bayesian Methods in Finance by Svetlozar T. Rachev

    Publisher: John Wiley & Sons Inc
    Publication Date: 11/03/2008
    ISBN13: 9780471920830, 978-0471920830
    ISBN10: 0471920835

    Description

    Book Synopsis
    Bayesian Methods in Finance explains and illustrates the foundations of the Bayesian methodology in clear and accessible terms. It provides a unified examination of the use of the Bayesian theory and practice to analyze and evaluate asset management.

    Table of Contents

    Preface xv

    About the Authors xvii

    CHAPTER 1 Introduction 1

    CHAPTER 2 The Bayesian Paradigm 6

    CHAPTER 3 Prior and Posterior Information, Predictive Inference 22

    CHAPTER 4 Bayesian Linear Regression Model 43

    CHAPTER 5 Bayesian Numerical Computation 61

    CHAPTER 6 Bayesian Framework For Portfolio Allocation 92

    CHAPTER 7 Prior Beliefs and Asset Pricing Models 118

    CHAPTER 8 The Black-Litterman Portfolio Selection Framework 141

    CHAPTER 9 Market Efficiency and Return Predictability 162

    CHAPTER 10 Volatility Models 185

    CHAPTER 11 Bayesian Estimation of ARCH-Type Volatility Models 202

    CHAPTER 12 Bayesian Estimation of Stochastic Volatility Models 229

    CHAPTER 13 Advanced Techniques for Bayesian Portfolio Selection 247

    CHAPTER 14 Multifactor Equity Risk Models 280

    References 298

    Index 311

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