Detailed Contents for Quantitative Risk Management

Here is a detailed table-of-contents for my book Quantitative Risk Management – for some obscure reason the book was published without a detailed table-of-contents.

Quantitative Risk Management
A Practical Guide to Financial Risk

Thomas S. Coleman

Detailed Contents as formatted .pdf

CONTENTS
Foreword       ix
Preface       xiii
Acknowledgments       xvii
Part I: Managing Risk       1
Chapter 1: Risk Management versus Risk Measurement       3
   1.1: Contrasting Risk Management and Risk Measurement    5
   1.2: Redefinition and Refocus for Risk Management    5
   1.3: Quantitative Measurement and a Consistent Framework    6
   1.4: Systemic versus Idiosyncratic Risk    12
Chapter 2: Risk, Uncertainty, Probability, and Luck       15
   2.1: What is Risk?    15
   2.2: Risk Measures    19
   2.3: Randomness and the Illusion of Certainty    21
   2.4: Probability and Statistics    39
   2.5: The Curse of Overconfidence    62
   2.6: Luck    64
Chapter 3: Managing Risk       67
   3.1: Manage People    68
   3.2: Manage Infrastructure — Process, Technology, Data    71
   3.3: Understand the Basis    73
   3.4: Organizational Structure    84
   3.5: Brief Overview of Regulatory Issues    90
   3.6: Managing the Unanticipated    92
   3.7: Conclusion    99
Chapter 4: Financial Risk Events       101
   4.1: Systemic versus Idiosyncratic Risk    102
   4.2: Idiosyncratic Financial Events    103
   4.3: Systemic Financial Events    132
   4.4: Conclusion    135
Chapter 5: Practical Risk Techniques       137
   5.1: Value of Simple, Approximate Answers    138
   5.2: Volatility and Value at Risk (VaR)    139
   5.3: Extreme Events    150
   5.4: Calculating Volatility and VaR    153
   5.5: Summary for Volatility and VaR    158
   5.6: Portfolio Tools    158
   5.7: Conclusion    167
Chapter 6: Uses and Limitations of Quantitative Techniques       169
   6.1: Risk Measurement Limitations    170
Part II: Measuring Risk       173
Chapter 7: Introduction to Quantitative Risk Measurement       175
   7.1: Project Implementation    176
   7.2: Typology of Financial Institution Risks    178
   7.3: Conclusion    184
Chapter 8: Risk and Summary Measures: Volatility and VaR       187
   8.1: Risk and Summary Measures    187
   8.2: Comments Regarding Quantitative Risk Measures    202
   8.3: Methods for Estimating the P&L Distribution    206
   8.4: Techniques and Tools for Tail Events    226
   8.5: Estimating Risk Factor Distributions    244
   8.6: Uncertainty and Randomness — The Illusion of Certainty    251
   8.7: Conclusion    254
   Appendix 8.1: Small-Sample Distribution of VaR and Standard Errors    254
   Appendix 8.2: Second Derivatives and the Parametric Approach    262
Chapter 9: Using Volatility and VaR       269
   9.1: Simple Portfolio    269
   9.2: Calculating P&L Distribution    270
   9.3: Summary Measures to Standardize and Aggregate    285
   9.4: Tail Risk or Extreme Events    290
   9.5: Conclusion    306
   Appendix 9.1: Parametric Estimation using Second Derivatives    307
Chapter 10: Portfolio Risk Analytics and Reporting       311
   10.1: Volatility, Triangle Addition, and Risk Addition    312
   10.2: Contribution to Risk    317
   10.3: Best Hedge    327
   10.4: Replicating Portfolio    333
   10.5: Principal Components and Risk Aggregation    337
   10.6: Risk Reporting    346
   10.7: Conclusion    361
   Appendix 10.1: Various Formulae for Marginal Contribution and Volatilities    361
   Appendix 10.2: Stepwise Procedure for Replicating Portfolio    369
   Appendix 10.3: Principal Components Overview    370
Chapter 11: Credit Risk       377
   11.1: Introduction    377
   11.2: Credit Risk versus Market Risk    380
   11.3: Stylized Credit Risk Model    383
   11.4: Taxonomy of Credit Risk Models    409
   11.5: Static Structural Models    411
   11.6: Static Reduced Form Models — CreditRisk+    429
   11.7: Static Models — Threshold and Mixture Frameworks    443
   11.8: Actuarial versus Equivalent Martingale (Risk-Neutral) Pricing    458
   11.9: Dynamic Reduced Form Models    464
   11.10: Conclusion    472
   Appendix 11.1: Probability Distributions    478
Chapter 12: Liquidity and Operational Risk       481
   12.1: Liquidity Risk — Asset versus Funding Liquidity    481
   12.2: Asset Liquidity    484
   12.3: Funding Liquidity Risk    496
   12.4: Operational Risk    513
   12.5: Conclusion    527
Chapter 13: Conclusion       529
About the Companion Web Site       531
References       533
About the Author       539

WILEY
John Wiley & Sons, Inc.

Copyright © 2012 by Thomas S. Coleman. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.

Quantitative Risk Management on Wiley site
Quantitative Risk Management on Amazon

About Thomas Coleman

Thomas S. Coleman is Senior Advisor at the Becker Friedman Institute for Research in Economics and Adjunct Professor of Finance at the Booth School of Business at the University of Chicago. Prior to returning to academia, Mr. Coleman worked in the finance industry for more than twenty years with considerable experience in trading, risk management, and quantitative modeling. Mr. Coleman earned a PhD in economics from the University of Chicago and a BA in physics from Harvard College.
This entry was posted in Publications and Papers. Bookmark the permalink.

One Response to Detailed Contents for Quantitative Risk Management

  1. Pingback: Quantitative Risk Management | Close Mountain Advisors

Comments are closed.