A Probability Metrics Approach to Financial Risk Measures

Author: Svetlozar T. Rachev  

Publisher: John Wiley & Sons Inc‎

Publication year: 2011

E-ISBN: 9781444392692

P-ISBN(Hardback):  9781405183697

Subject: F830.9 金融市场

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

A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time.

  • Helps to answer the question: which risk measure is best for a given problem?
  • Finds new relations between existing classes of risk measures
  • Describes applications in finance and extends them where possible
  • Presents the theory of probability metrics in a more accessible form which would be appropriate for non-specialists in the field
  • Applications include optimal portfolio choice, risk theory, and numerical methods in finance
  • Topics requiring more mathematical rigor and detail are included in technical appendices to chapters

Chapter

Contents

pp.:  1 – 9

Preface

pp.:  9 – 15

About the Authors

pp.:  15 – 17

1 Introduction

pp.:  17 – 19

3 Choice under Uncertainty

pp.:  25 – 58

4 A Classification of Probability Distances

pp.:  58 – 101

5 Risk and Uncertainty

pp.:  101 – 164

6 Average Value-at-Risk

pp.:  164 – 209

7 Computing AVaR through Monte Carlo

pp.:  209 – 270

8 Stochastic Dominance Revisited

pp.:  270 – 322

Index

pp.:  322 – 375

LastPages

pp.:  375 – 393

The users who browse this book also browse


No browse record.