Description

Book Synopsis
An innovative approach to post-crash credit portfolio management

Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today''s credit managers and risk analysts.

A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bondsspread, liquidity, and Treasury yield cu

Table of Contents

Foreword xvii

Introduction xix

Notes on Terminology xxvii

Part One Measuring the Market Risks of Corporate Bonds

Chapter 1 Measuring Spread Sensitivity of Corporate Bonds 3

Analysis of Corporate Bond Spread Behavior 5

A New Measure of Excess Return Volatility 20

Refinements and Further Tests 25

Summary and Implications for Portfolio Managers 30

Appendix: Data Description 34

Chapter 2 DTS for Credit Default Swaps 39

Estimation Methodology 40

Empirical Analysis of CDS Spreads 41

Appendix: Quasi-Maximum Likelihood Approach 51

Chapter 3 DTS for Sovereign Bonds 55

Spread Dynamics of Emerging Markets Debt 55

DTS for Developed Markets Sovereigns: The Case of Euro Treasuries 59

Managing Sovereign Risk Using DTS 66

Chapter 4 A Theoretical Basis for DTS 73

The Merton Model: A Zero-Coupon Bond 74

Dependence of Slope on Maturity 77

Chapter 5 Quantifying the Liquidity of Corporate Bonds 81

Liquidity Cost Scores (LCS) for U.S. Credit Bonds 82

Liquidity Cost Scores: Methodology 88

LCS for Trader-Quoted Bonds 92

LCS for Non-Quoted Bonds: The LCS Model 96

Testing the LCS Model: Out-of-Sample Tests 102

LCS for Pan-European Credit Bonds 113

Using LCS in Portfolio Construction 123

Trade Efficiency Scores (TES) 129

Chapter 6 Joint Dynamics of Default and Liquidity Risk 133

Spread Decomposition Methodology 138

What Drives OAS Differences across Bonds? 139

How Has the Composition of OAS Changed? 141

Spread Decomposition Using an Alternative Measure of Expected Default Losses 145

High-Yield Spread Decomposition 147

Applications of Spread Decomposition 147

Alternative Spread Decomposition Models 150

Appendix 152

Chapter 7 Empirical versus Nominal Durations of Corporate Bonds 157

Empirical Duration: Theory and Evidence 159

Segmentation in Credit Markets 173

Potential Stale Pricing and Its Effect on Hedge Ratios 173

Hedge Ratios Following Rating Changes: An Event Study Approach 179

Using Empirical Duration in Portfolio Management Applications 186

Part Two Managing Corporate Bond Portfolios

Chapter 8 Hedging the Market Risk in Pairs Trades 197

Data and Hedging Simulation Methodology 199

Analysis of Hedging Results 200

Appendix: Hedging Pair-Wise Trades with Skill 208

Chapter 9 Positioning along the Credit Curve 213

Data and Methodology 214

Empirical Analysis 217

Chapter 10 The 2007–2009 Credit Crisis 229

Spread Behavior during the Credit Crisis 229

Applications of DTS 234

Advantages of DTS in Risk Model Construction 244

Chapter 11 A Framework for Diversification of Issuer Risk 249

Downgrade Risk before and after the Credit Crisis 250

Using DTS to Set Position-Size Ratios 257

Comparing and Combining the Two Approaches to Issuer Limits 260

Chapter 12 How Best to Capture the Spread Premium of Corporate Bonds? 265

The Credit Spread Premium 266

Measuring the Credit Spread Premium for the IG Corporate Index 266

Alternative Corporate Indexes 279

Capturing Spread Premium: Adopting an Alternative Corporate Benchmark 288

Chapter 13 Risk and Performance of Fallen Angels 295

Data and Methodology 298

Performance Dynamics around Rating Events 303

Fallen Angels as an Asset Class 319

Chapter 14 Obtaining Credit Exposure Using Cash and Synthetic Replication 337

Cash Credit Replication (TCX) 338

Synthetic Replication of Cash Indexes 351

Credit RBIs 358

References 367

Index 371

Quantitative Credit Portfolio Management

    Product form

    £66.75

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    RRP £89.00 – you save £22.25 (25%)

    Order before 4pm today for delivery by Mon 22 Jun 2026.

    A Hardback by Arik Ben Dor, Lev Dynkin, Jay Hyman


      View other formats and editions of Quantitative Credit Portfolio Management by Arik Ben Dor

      Publisher: John Wiley & Sons Inc
      Publication Date: 20/01/2012
      ISBN13: 9781118117699, 978-1118117699
      ISBN10: 1118117697

      Description

      Book Synopsis
      An innovative approach to post-crash credit portfolio management

      Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today''s credit managers and risk analysts.

      A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bondsspread, liquidity, and Treasury yield cu

      Table of Contents

      Foreword xvii

      Introduction xix

      Notes on Terminology xxvii

      Part One Measuring the Market Risks of Corporate Bonds

      Chapter 1 Measuring Spread Sensitivity of Corporate Bonds 3

      Analysis of Corporate Bond Spread Behavior 5

      A New Measure of Excess Return Volatility 20

      Refinements and Further Tests 25

      Summary and Implications for Portfolio Managers 30

      Appendix: Data Description 34

      Chapter 2 DTS for Credit Default Swaps 39

      Estimation Methodology 40

      Empirical Analysis of CDS Spreads 41

      Appendix: Quasi-Maximum Likelihood Approach 51

      Chapter 3 DTS for Sovereign Bonds 55

      Spread Dynamics of Emerging Markets Debt 55

      DTS for Developed Markets Sovereigns: The Case of Euro Treasuries 59

      Managing Sovereign Risk Using DTS 66

      Chapter 4 A Theoretical Basis for DTS 73

      The Merton Model: A Zero-Coupon Bond 74

      Dependence of Slope on Maturity 77

      Chapter 5 Quantifying the Liquidity of Corporate Bonds 81

      Liquidity Cost Scores (LCS) for U.S. Credit Bonds 82

      Liquidity Cost Scores: Methodology 88

      LCS for Trader-Quoted Bonds 92

      LCS for Non-Quoted Bonds: The LCS Model 96

      Testing the LCS Model: Out-of-Sample Tests 102

      LCS for Pan-European Credit Bonds 113

      Using LCS in Portfolio Construction 123

      Trade Efficiency Scores (TES) 129

      Chapter 6 Joint Dynamics of Default and Liquidity Risk 133

      Spread Decomposition Methodology 138

      What Drives OAS Differences across Bonds? 139

      How Has the Composition of OAS Changed? 141

      Spread Decomposition Using an Alternative Measure of Expected Default Losses 145

      High-Yield Spread Decomposition 147

      Applications of Spread Decomposition 147

      Alternative Spread Decomposition Models 150

      Appendix 152

      Chapter 7 Empirical versus Nominal Durations of Corporate Bonds 157

      Empirical Duration: Theory and Evidence 159

      Segmentation in Credit Markets 173

      Potential Stale Pricing and Its Effect on Hedge Ratios 173

      Hedge Ratios Following Rating Changes: An Event Study Approach 179

      Using Empirical Duration in Portfolio Management Applications 186

      Part Two Managing Corporate Bond Portfolios

      Chapter 8 Hedging the Market Risk in Pairs Trades 197

      Data and Hedging Simulation Methodology 199

      Analysis of Hedging Results 200

      Appendix: Hedging Pair-Wise Trades with Skill 208

      Chapter 9 Positioning along the Credit Curve 213

      Data and Methodology 214

      Empirical Analysis 217

      Chapter 10 The 2007–2009 Credit Crisis 229

      Spread Behavior during the Credit Crisis 229

      Applications of DTS 234

      Advantages of DTS in Risk Model Construction 244

      Chapter 11 A Framework for Diversification of Issuer Risk 249

      Downgrade Risk before and after the Credit Crisis 250

      Using DTS to Set Position-Size Ratios 257

      Comparing and Combining the Two Approaches to Issuer Limits 260

      Chapter 12 How Best to Capture the Spread Premium of Corporate Bonds? 265

      The Credit Spread Premium 266

      Measuring the Credit Spread Premium for the IG Corporate Index 266

      Alternative Corporate Indexes 279

      Capturing Spread Premium: Adopting an Alternative Corporate Benchmark 288

      Chapter 13 Risk and Performance of Fallen Angels 295

      Data and Methodology 298

      Performance Dynamics around Rating Events 303

      Fallen Angels as an Asset Class 319

      Chapter 14 Obtaining Credit Exposure Using Cash and Synthetic Replication 337

      Cash Credit Replication (TCX) 338

      Synthetic Replication of Cash Indexes 351

      Credit RBIs 358

      References 367

      Index 371

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