Description

Book Synopsis

Stress-test financial models and price credit instruments with confidence and efficiency using the perturbation approach taught in this expert volume

Perturbation Methods in Credit Derivatives: Strategies for Efficient Risk Management offers an incisive examination of a new approach to pricing credit-contingent financial instruments. Author and experienced financial engineer Dr. Colin Turfus has created an approach that allows model validators to perform rapid benchmarking of risk and pricing models while making the most efficient use possible of computing resources.

The book provides innumerable benefits to a wide range of quantitative financial expertsattempting to comply with increasingly burdensome regulatory stress-testing requirements, including:

  • Replacing time-consuming Monte Carlo simulations with faster, simpler pricing algorithms for front-office quants
  • Allowing CVA quants to quantify the impact of counterparty risk, includ

    Table of Contents

    Preface xi

    Acknowledgments xv

    Acronyms xvi

    Chapter 1 Why Perturbation Methods? 1

    1.1 Analytic Pricing of Derivatives 1

    1.2 In Defence of Perturbation Methods 3

    Chapter 2 Some Representative Case Studies 8

    2.1 Quanto CDS Pricing 8

    2.2 Wrong-Way Interest Rate Risk 9

    2.3 Contingent CDS Pricing and CVA 10

    2.4 Analytic Interest Rate Option Pricing 10

    2.5 Exposure Scenario Generation 11

    2.6 Model Risk 11

    2.7 Machine Learning 12

    2.8 Incorporating Interest Rate Skew and Smile 13

    Chapter 3 The Mathematical Foundations 14

    3.1 The Pricing Equation 14

    3.2 Pricing Kernels 16

    3.2.1 What Is a Kernel? 16

    3.2.2 Kernels in Financial Engineering 18

    3.2.3 Why Use Pricing Kernels? 19

    3.3 Evolution Operators 20

    3.3.1 Time-Ordered Exponential 21

    3.3.2 Magnus Expansion 22

    3.4 Obtaining the Pricing Kernel 23

    3.4.1 Duhamel–Dyson Expansion Formula 24

    3.4.2 Baker–Campbell–Hausdorff Expansion Formula 24

    3.4.3 Exponential Expansion Formula 25

    3.4.4 Exponentials of Derivatives 26

    3.4.5 Example – The Black–Scholes Pricing Kernel 28

    3.4.6 Example – Mean-Reverting Diffusion 30

    3.5 Convolutions with Gaussian Pricing Kernels 32

    3.6 Proofs for Chapter 3 36

    3.6.1 Proof of Theorem 3.2 36

    3.6.2 Proof of Lemma 3.1 38

    Chapter 4 Hull–White Short-Rate Model 40

    4.1 Background of Hull–White Model 41

    4.2 The Pricing Kernel 42

    4.3 Applications 43

    4.3.1 Zero Coupon Bond Pricing 43

    4.3.2 LIBOR Pricing 44

    4.3.3 Caplet Pricing 45

    4.3.4 European Swaption Pricing 47

    4.4 Proof of Theorem 4.1 48

    4.4.1 Preliminary Results 48

    4.4.2 Turn the Handle! 49

    Chapter 5 Black–Karasinski Short-Rate Model 52

    5.1 Background of Black–Karasinski Model 52

    5.2 The Pricing Kernel 54

    5.3 Applications 56

    5.3.1 Zero Coupon Bond Pricing 56

    5.3.2 Caplet Pricing 58

    5.3.3 European Swaption Pricing 61

    5.4 Comparison of Results 62

    5.5 Proof of Theorem 5.1 65

    5.5.1 Preliminary Result 65

    5.5.2 Turn the Handle! 66

    5.6 Exact Black–Karasinski Pricing Kernel 67

    Chapter 6 Extension to Multi-Factor Modelling 70

    6.1 Multi-Factor Pricing Equation 70

    6.2 Derivation of Pricing Kernel 73

    6.2.1 Preliminaries 73

    6.2.2 Full Solution Using Operator Expansion 74

    6.3 Exact Expression for Hull–White Model 75

    6.4 Asymptotic Expansion for Black–Karasinski Model 78

    6.5 Formal Solution for Rates-Credit Hybrid Model 82

    Chapter 7 Rates-Equity Hybrid Modelling 86

    7.1 Statement of Problem 86

    7.2 Previous Work 86

    7.3 The Pricing Kernel 87

    7.3.1 Main Result 87

    7.4 Vanilla Option Pricing 90

    Chapter 8 Rates-Credit Hybrid Modelling 92

    8.1 Background 92

    8.1.1 Black–Karasinski as a Credit Model 92

    8.1.2 Analytic Pricing of Rates-Credit Hybrid Products 93

    8.1.3 Mathematical Definition of the Model 94

    8.1.4 Pricing Credit-Contingent Cash Flows 94

    8.2 The Pricing Kernel 95

    8.3 CDS Pricing 101

    8.3.1 Risky Cash Flow Pricing 101

    8.3.2 Protection Leg Pricing 103

    8.3.3 Defaultable LIBOR Pricing 105

    8.3.4 Defaultable Capped LIBOR Pricing 110

    8.3.5 Contingent CDS with IR Swap Underlying 111

    Chapter 9 Credit-Equity Hybrid Modelling 116

    9.1 Background 116

    9.2 Derivation of Credit-Equity Pricing Kernel 117

    9.2.1 Pricing Equation 117

    9.2.2 Pricing Kernel 119

    9.2.3 Asymptotic Expansion 120

    9.3 Convertible Bonds 122

    9.4 Contingent CDS on Equity Option 124

    Chapter 10 Credit-FX Hybrid Modelling 127

    10.1 Background 127

    10.2 Credit-FX Pricing Kernel 128

    10.3 Quanto CDS 129

    10.3.1 Domestic Currency Fixed Flow 129

    10.3.2 Foreign Currency Fixed Flow 129

    10.3.3 Foreign Currency LIBOR Flow 131

    10.3.4 Foreign Currency Notional Protection 131

    10.4 Contingent CDS on Cross-Currency Swaps 133

    Chapter 11 Multi-Currency Modelling 137

    11.1 Previous Work 137

    11.2 Statement of Problem 138

    11.3 The Pricing Kernel 139

    11.3.1 Main Result 139

    11.3.2 Derivation of Multi-Currency Pricing Kernel 142

    11.4 Inflation and FX Options 144

    Chapter 12 Rates-Credit-FX Hybrid Modelling 146

    12.1 Previous Work 146

    12.2 Derivation of Rates-Credit-FX Pricing Kernel 146

    12.2.1 Pricing Equation 146

    12.2.2 Pricing Kernel 148

    12.3 Quanto CDS Revisited 155

    12.3.1 Domestic Currency Fixed Flow 155

    12.3.2 Foreign Currency Fixed Flow 155

    12.3.3 Foreign Currency Notional Protection 158

    12.4 CCDS on Cross-Currency Swaps Revisited 159

    Chapter 13 Risk-Free Rates 163

    13.1 Background 163

    13.2 Hull–White Kernel Extension 165

    13.3 Applications 166

    13.3.1 Compounded Rates Payment 166

    13.3.2 Caplet Pricing 166

    13.3.3 European Swaption Pricing 169

    13.3.4 Average Rate Options 169

    13.4 Black–Karasinski Kernel Extension 170

    13.5 Applications 171

    13.5.1 Compounded Rates Payment 171

    13.5.2 Caplet Pricing 172

    13.6 A Note on Term Rates 177

    Chapter 14 Multi-Curve Framework 178

    14.1 Background 178

    14.2 Stochastic Spreads 180

    14.3 Applications 182

    14.3.1 LIBOR Pricing 182

    14.3.2 LIBOR Caplet Pricing 183

    14.3.3 European Swaption Pricing 186

    Chapter 15 Scenario Generation 187

    15.1 Overview 187

    15.2 Previous Work 188

    15.3 Pricing Equation 190

    15.4 Hull–White Rates 192

    15.4.1 Two-Factor Pricing Kernel 192

    15.4.2 m-Factor Extension 194

    15.5 Black–Karasinski Rates 195

    15.5.1 Two-Factor Pricing Kernel 195

    15.5.2 Asymptotic Expansion 195

    15.5.3 m-Factor Extension 198

    15.5.4 Representative Calculations 198

    15.6 Joint Rates-Credit Scenarios 201

    Chapter 16 Model Risk Management Strategies 203

    16.1 Introduction 203

    16.2 Model Risk Methodology 205

    16.2.1 Previous Work 205

    16.2.2 Proposed Framework 208

    16.2.3 Calibration to CDS Market 209

    16.3 Applications 210

    16.3.1 Interest Rate Swap Extinguisher 210

    16.3.2 Contingent CDS 211

    16.4 Conclusions 212

    Chapter 17 Machine Learning 213

    17.1 Trends in Quantitative Finance Research 213

    17.1.1 Some Recent Trends 213

    17.1.2 The Arrival of Machine Learning 214

    17.2 From Pricing Models to Market Generators 215

    17.3 Synergies with Perturbation Methods 217

    17.3.1 Asymptotics as Control Variates 217

    17.3.2 Data Representation 218

    Bibliography 222

    Index 229

Perturbation Methods in Credit Derivatives

    Product form

    £57.00

    Includes FREE delivery

    RRP £60.00 – you save £3.00 (5%)

    Order before 4pm tomorrow for delivery by Tue 23 Jun 2026.

    A Hardback by Colin Turfus

    2 in stock


      View other formats and editions of Perturbation Methods in Credit Derivatives by Colin Turfus

      Publisher: John Wiley & Sons Inc
      Publication Date: 28/01/2021
      ISBN13: 9781119609612, 978-1119609612
      ISBN10: 1119609615

      Description

      Book Synopsis

      Stress-test financial models and price credit instruments with confidence and efficiency using the perturbation approach taught in this expert volume

      Perturbation Methods in Credit Derivatives: Strategies for Efficient Risk Management offers an incisive examination of a new approach to pricing credit-contingent financial instruments. Author and experienced financial engineer Dr. Colin Turfus has created an approach that allows model validators to perform rapid benchmarking of risk and pricing models while making the most efficient use possible of computing resources.

      The book provides innumerable benefits to a wide range of quantitative financial expertsattempting to comply with increasingly burdensome regulatory stress-testing requirements, including:

      • Replacing time-consuming Monte Carlo simulations with faster, simpler pricing algorithms for front-office quants
      • Allowing CVA quants to quantify the impact of counterparty risk, includ

        Table of Contents

        Preface xi

        Acknowledgments xv

        Acronyms xvi

        Chapter 1 Why Perturbation Methods? 1

        1.1 Analytic Pricing of Derivatives 1

        1.2 In Defence of Perturbation Methods 3

        Chapter 2 Some Representative Case Studies 8

        2.1 Quanto CDS Pricing 8

        2.2 Wrong-Way Interest Rate Risk 9

        2.3 Contingent CDS Pricing and CVA 10

        2.4 Analytic Interest Rate Option Pricing 10

        2.5 Exposure Scenario Generation 11

        2.6 Model Risk 11

        2.7 Machine Learning 12

        2.8 Incorporating Interest Rate Skew and Smile 13

        Chapter 3 The Mathematical Foundations 14

        3.1 The Pricing Equation 14

        3.2 Pricing Kernels 16

        3.2.1 What Is a Kernel? 16

        3.2.2 Kernels in Financial Engineering 18

        3.2.3 Why Use Pricing Kernels? 19

        3.3 Evolution Operators 20

        3.3.1 Time-Ordered Exponential 21

        3.3.2 Magnus Expansion 22

        3.4 Obtaining the Pricing Kernel 23

        3.4.1 Duhamel–Dyson Expansion Formula 24

        3.4.2 Baker–Campbell–Hausdorff Expansion Formula 24

        3.4.3 Exponential Expansion Formula 25

        3.4.4 Exponentials of Derivatives 26

        3.4.5 Example – The Black–Scholes Pricing Kernel 28

        3.4.6 Example – Mean-Reverting Diffusion 30

        3.5 Convolutions with Gaussian Pricing Kernels 32

        3.6 Proofs for Chapter 3 36

        3.6.1 Proof of Theorem 3.2 36

        3.6.2 Proof of Lemma 3.1 38

        Chapter 4 Hull–White Short-Rate Model 40

        4.1 Background of Hull–White Model 41

        4.2 The Pricing Kernel 42

        4.3 Applications 43

        4.3.1 Zero Coupon Bond Pricing 43

        4.3.2 LIBOR Pricing 44

        4.3.3 Caplet Pricing 45

        4.3.4 European Swaption Pricing 47

        4.4 Proof of Theorem 4.1 48

        4.4.1 Preliminary Results 48

        4.4.2 Turn the Handle! 49

        Chapter 5 Black–Karasinski Short-Rate Model 52

        5.1 Background of Black–Karasinski Model 52

        5.2 The Pricing Kernel 54

        5.3 Applications 56

        5.3.1 Zero Coupon Bond Pricing 56

        5.3.2 Caplet Pricing 58

        5.3.3 European Swaption Pricing 61

        5.4 Comparison of Results 62

        5.5 Proof of Theorem 5.1 65

        5.5.1 Preliminary Result 65

        5.5.2 Turn the Handle! 66

        5.6 Exact Black–Karasinski Pricing Kernel 67

        Chapter 6 Extension to Multi-Factor Modelling 70

        6.1 Multi-Factor Pricing Equation 70

        6.2 Derivation of Pricing Kernel 73

        6.2.1 Preliminaries 73

        6.2.2 Full Solution Using Operator Expansion 74

        6.3 Exact Expression for Hull–White Model 75

        6.4 Asymptotic Expansion for Black–Karasinski Model 78

        6.5 Formal Solution for Rates-Credit Hybrid Model 82

        Chapter 7 Rates-Equity Hybrid Modelling 86

        7.1 Statement of Problem 86

        7.2 Previous Work 86

        7.3 The Pricing Kernel 87

        7.3.1 Main Result 87

        7.4 Vanilla Option Pricing 90

        Chapter 8 Rates-Credit Hybrid Modelling 92

        8.1 Background 92

        8.1.1 Black–Karasinski as a Credit Model 92

        8.1.2 Analytic Pricing of Rates-Credit Hybrid Products 93

        8.1.3 Mathematical Definition of the Model 94

        8.1.4 Pricing Credit-Contingent Cash Flows 94

        8.2 The Pricing Kernel 95

        8.3 CDS Pricing 101

        8.3.1 Risky Cash Flow Pricing 101

        8.3.2 Protection Leg Pricing 103

        8.3.3 Defaultable LIBOR Pricing 105

        8.3.4 Defaultable Capped LIBOR Pricing 110

        8.3.5 Contingent CDS with IR Swap Underlying 111

        Chapter 9 Credit-Equity Hybrid Modelling 116

        9.1 Background 116

        9.2 Derivation of Credit-Equity Pricing Kernel 117

        9.2.1 Pricing Equation 117

        9.2.2 Pricing Kernel 119

        9.2.3 Asymptotic Expansion 120

        9.3 Convertible Bonds 122

        9.4 Contingent CDS on Equity Option 124

        Chapter 10 Credit-FX Hybrid Modelling 127

        10.1 Background 127

        10.2 Credit-FX Pricing Kernel 128

        10.3 Quanto CDS 129

        10.3.1 Domestic Currency Fixed Flow 129

        10.3.2 Foreign Currency Fixed Flow 129

        10.3.3 Foreign Currency LIBOR Flow 131

        10.3.4 Foreign Currency Notional Protection 131

        10.4 Contingent CDS on Cross-Currency Swaps 133

        Chapter 11 Multi-Currency Modelling 137

        11.1 Previous Work 137

        11.2 Statement of Problem 138

        11.3 The Pricing Kernel 139

        11.3.1 Main Result 139

        11.3.2 Derivation of Multi-Currency Pricing Kernel 142

        11.4 Inflation and FX Options 144

        Chapter 12 Rates-Credit-FX Hybrid Modelling 146

        12.1 Previous Work 146

        12.2 Derivation of Rates-Credit-FX Pricing Kernel 146

        12.2.1 Pricing Equation 146

        12.2.2 Pricing Kernel 148

        12.3 Quanto CDS Revisited 155

        12.3.1 Domestic Currency Fixed Flow 155

        12.3.2 Foreign Currency Fixed Flow 155

        12.3.3 Foreign Currency Notional Protection 158

        12.4 CCDS on Cross-Currency Swaps Revisited 159

        Chapter 13 Risk-Free Rates 163

        13.1 Background 163

        13.2 Hull–White Kernel Extension 165

        13.3 Applications 166

        13.3.1 Compounded Rates Payment 166

        13.3.2 Caplet Pricing 166

        13.3.3 European Swaption Pricing 169

        13.3.4 Average Rate Options 169

        13.4 Black–Karasinski Kernel Extension 170

        13.5 Applications 171

        13.5.1 Compounded Rates Payment 171

        13.5.2 Caplet Pricing 172

        13.6 A Note on Term Rates 177

        Chapter 14 Multi-Curve Framework 178

        14.1 Background 178

        14.2 Stochastic Spreads 180

        14.3 Applications 182

        14.3.1 LIBOR Pricing 182

        14.3.2 LIBOR Caplet Pricing 183

        14.3.3 European Swaption Pricing 186

        Chapter 15 Scenario Generation 187

        15.1 Overview 187

        15.2 Previous Work 188

        15.3 Pricing Equation 190

        15.4 Hull–White Rates 192

        15.4.1 Two-Factor Pricing Kernel 192

        15.4.2 m-Factor Extension 194

        15.5 Black–Karasinski Rates 195

        15.5.1 Two-Factor Pricing Kernel 195

        15.5.2 Asymptotic Expansion 195

        15.5.3 m-Factor Extension 198

        15.5.4 Representative Calculations 198

        15.6 Joint Rates-Credit Scenarios 201

        Chapter 16 Model Risk Management Strategies 203

        16.1 Introduction 203

        16.2 Model Risk Methodology 205

        16.2.1 Previous Work 205

        16.2.2 Proposed Framework 208

        16.2.3 Calibration to CDS Market 209

        16.3 Applications 210

        16.3.1 Interest Rate Swap Extinguisher 210

        16.3.2 Contingent CDS 211

        16.4 Conclusions 212

        Chapter 17 Machine Learning 213

        17.1 Trends in Quantitative Finance Research 213

        17.1.1 Some Recent Trends 213

        17.1.2 The Arrival of Machine Learning 214

        17.2 From Pricing Models to Market Generators 215

        17.3 Synergies with Perturbation Methods 217

        17.3.1 Asymptotics as Control Variates 217

        17.3.2 Data Representation 218

        Bibliography 222

        Index 229

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account