Description

Book Synopsis
Introducing a revolutionary new quantitative approach to hybrid securities valuation and risk management

To an equity trader they are shares. For the trader at the fixed income desk, they are bonds (after all, they pay coupons, so what''s the problem?). They are hybrid securities. Neither equity nor debt, they possess characteristics of both, and carry unique risks that cannot be ignored, but are often woefully misunderstood. The first and only book of its kind, The Handbook of Hybrid Securities dispels the many myths and misconceptions about hybrid securities and arms you with a quantitative, practical approach to dealing with them from a valuation and risk management point of view.

  • Describes a unique, quantitative approach to hybrid valuation and risk management that uses new structural and multi-factor models
  • Provides strategies for the full range of hybrid asset classes, including convertible bonds, preferreds, trust preferreds, contingent co

    Trade Review

    “The Handbook of Hybrid Debt Securities is a modern state-of-the-art textbook in the field of hybrid debt instruments. It succeeds in combining a comprehensive introduction to the basic concepts of such securities with sophisticated modeling and valuation techniques.” (Financial Markets and Portfolio Management, February 2016)



    Table of Contents

    Reading this Book xv

    Acknowledgments xvii

    1 Hybrid Assets 1

    1.1 Introduction 1

    1.2 Hybrid Capital 1

    1.3 Preferreds 3

    1.4 Convertible Bonds 5

    1.5 Contingent Convertibles 7

    1.6 Other Types of Hybrid Debt 7

    1.6.1 Hybrid Bank Capital 7

    1.6.2 Hybrid Corporate Capital 13

    1.6.3 Toggle Bonds 14

    1.7 Regulation 15

    1.7.1 Making Failures Less Likely 15

    1.7.2 Making Failures Less Disruptive 15

    1.8 Bail-In Capital 16

    1.9 Risk and Rating 17

    1.9.1 Risk 17

    1.9.2 Rating 18

    1.10 Conclusion 18

    2 Convertible Bonds 19

    2.1 Introduction 19

    2.2 Anatomy of a Convertible Bond 22

    2.2.1 Final Payoff 22

    2.2.2 Price Graph 22

    2.2.3 Quotation of a Convertible Bond 23

    2.2.4 Bond Floor (B F) 25

    2.2.5 Parity 27

    2.2.6 Convexity 27

    2.2.7 Optional Conversion 33

    2.2.8 Forced Conversion 35

    2.2.9 Mandatory Conversion 35

    2.3 Convertible Bond Arbitrage 37

    2.3.1 Components of Risk 37

    2.3.2 Delta 42

    2.3.3 Delta Hedging 45

    2.3.4 Different Notions of Delta 45

    2.3.5 Greeks 46

    2.4 Standard Features 47

    2.4.1 Issuer Call 47

    2.4.2 Put 50

    2.4.3 Coupons 53

    2.4.4 Dividends 56

    2.5 Additional Features 58

    2.5.1 Dividend Protection 58

    2.5.2 Take-Over Protection 59

    2.5.3 Refixes 60

    2.6 Other Convertible Bond Types 62

    2.6.1 Exchangeables 62

    2.6.2 Synthetic Convertibles 63

    2.6.3 Cross-Currency Convertibles 64

    2.6.4 Reverse Convertibles 66

    2.6.5 Convertible Preferreds 67

    2.6.6 Make-Whole 67

    2.6.7 Contingent Conversion 67

    2.6.8 Convertible Bond Option 68

    2.7 Convertible Bond Terminology 68

    2.7.1 144a 68

    2.7.2 Fixed-Income Metrics 68

    2.8 Convertible Bond Market 73

    2.8.1 Market Participants 73

    2.8.2 Investors 74

    2.9 Conclusion 76

    3 Contingent Convertibles (CoCos) 77

    3.1 Introduction 77

    3.2 Definition 78

    3.3 Anatomy 79

    3.3.1 Loss-Absorption Mechanism 79

    3.3.2 Trigger 83

    3.3.3 Host Instrument 86

    3.4 CoCos and Convertible Bonds 87

    3.4.1 Forced vs. Optional Conversion 87

    3.4.2 Negative vs. Positive Convexity 88

    3.4.3 Limited vs. Unlimited Upside 89

    3.4.4 Similarity to Reverse Convertibles 89

    3.5 CoCos and Regulations 89

    3.5.1 Introduction 89

    3.5.2 Basel Framework 90

    3.5.3 Basel I 91

    3.5.4 Basel II 92

    3.5.5 Basel III 93

    3.5.6 Cocos in Basel III 101

    3.5.7 High and Low-Trigger CoCos 104

    3.6 Ranking in the Balance Sheet 106

    3.7 Alternative Structures 106

    3.8 Contingent Capital: Pro and Contra 107

    3.8.1 Advantages 107

    3.8.2 Disadvantages 107

    3.8.3 Conclusion 110

    4 Corporate Hybrids 113

    4.1 Introduction 113

    4.2 Issuer of Hybrid Debt 113

    4.3 Investing in Hybrid Debt 114

    4.4 Structure of a Corporate Hybrid Bond 115

    4.4.1 Coupons 115

    4.4.2 Replacement Capital Covenant 118

    4.4.3 Issuer Calls 119

    4.5 View of Rating Agencies 121

    4.6 Risk in Hybrid Bonds 122

    4.6.1 Subordination Risk 122

    4.6.2 Deferral Risk 122

    4.6.3 Extension Risk 122

    4.7 Convexity in Hybrid Bonds 122

    4.7.1 Case Study: Henkel 5.375% 2104 122

    4.7.2 Duration Dynamics 126

    4.8 Equity Character of Hybrid Bonds 126

    5 Bail-In Bonds 127

    5.1 Introduction 127

    5.2 Definition 128

    5.3 Resolution Regime 129

    5.3.1 Resolution Tools 130

    5.3.2 Timetable 130

    5.4 Case Studies 133

    5.4.1 Bail-In of Senior Bonds 133

    5.4.2 Saving Lehman Brothers 134

    5.5 Consequences of Bail-In 136

    5.5.1 Higher Funding Costs 136

    5.5.2 Higher GDP 136

    5.5.3 Availability of Bail-In Bonds 136

    5.5.4 Paying Bankers in Bail-In Bonds 136

    5.6 Conclusion 137

    6 Modeling Hybrids: An Introduction 139

    6.1 Introduction 139

    6.2 Heuristic Approaches 140

    6.2.1 Corporate Hybrids: Yield of a Callable Bond 140

    6.2.2 Convertible Bonds: Break Even 142

    6.3 Building Models 143

    6.3.1 Introduction 143

    6.3.2 Martingales 145

    6.3.3 Model Map 146

    6.3.4 Cheapness 147

    6.4 How Many Factors? 149

    6.5 Sensitivity Analysis 152

    6.5.1 Introduction 152

    6.5.2 Non-linear Model 153

    7 Modeling Hybrids: Stochastic Processes 159

    7.1 Introduction 159

    7.2 Probability Density Functions 159

    7.2.1 Introduction 159

    7.2.2 Normal Distribution 160

    7.2.3 Lognormal Distribution 161

    7.2.4 Exponential Distribution 162

    7.2.5 Poisson Distribution 163

    7.3 Brownian Motion 164

    7.4 Ito Process 165

    7.4.1 Introduction 165

    7.4.2 Ito’s Lemma 166

    7.4.3 Share Prices as Geometric Brownian Motion 169

    7.5 Poisson Process 172

    7.5.1 Definition 172

    7.5.2 Advanced Poisson Processes 174

    7.5.3 Conclusion 176

    8 Modeling Hybrids: Risk Neutrality 177

    8.1 Introduction 177

    8.2 Closed-Form Solution 180

    8.2.1 Introduction 180

    8.2.2 Black–Scholes Solution 182

    8.2.3 Solving the Black–Scholes Equation 183

    8.2.4 Case Study: Reverse Convertible 184

    8.3 Tree-Based Methods 186

    8.3.1 Introduction 186

    8.3.2 Framework 187

    8.3.3 Geometry of the Trinomial Tree 189

    8.3.4 Modeling Share Prices on a Trinomial Tree 193

    8.3.5 European Options on a Trinomial Tree 199

    8.3.6 American Options 200

    8.3.7 Bermudan Options: Imposing a Particular Time Slice 203

    8.4 Finite Difference Technique 204

    8.5 Monte Carlo 205

    8.5.1 Introduction 205

    8.5.2 Generating Random Numbers 206

    9 Modeling Hybrids: Advanced Issues 211

    9.1 Tail Risk in Hybrids 211

    9.2 Jump Diffusion 212

    9.2.1 Introduction 212

    9.2.2 Share Price Process with Jump to Default 214

    9.2.3 Trinomial Trees with Jump to Default 217

    9.2.4 Pricing Convertible Bonds with Jump Diffusion 221

    9.2.5 Lost in Translation 226

    9.3 Correlation 227

    9.3.1 Correlation Risk in Hybrids 227

    9.3.2 Definition 228

    9.3.3 Correlating Wiener Processes 229

    9.3.4 Cholesky Factorization 230

    9.3.5 Cholesky Example 233

    9.3.6 Correlating Events 234

    9.3.7 Using Equity Correlation 235

    9.3.8 Case Study: Correlated Defaults 237

    9.3.9 Case Study: Asset Correlation vs. Default Correlation 238

    9.4 Structural Models 240

    9.5 Conclusion 242

    10 Modeling Hybrids: Handling Credit 243

    10.1 Credit Spread 243

    10.1.1 Definition 243

    10.1.2 Working with Credit Spreads 244

    10.1.3 Option-Adjusted Spread 246

    10.2 Default Intensity 246

    10.2.1 Introduction 246

    10.3 Credit Default Swaps 248

    10.3.1 Definition 248

    10.3.2 Example of a CDS Curve 250

    10.3.3 Availability of CDS Data 250

    10.3.4 Premium and Credit Leg 251

    10.3.5 Valuation 252

    10.3.6 Rule of Thumb 255

    10.3.7 Market Convention 256

    10.3.8 Case Study: Implied Default Probability 257

    10.4 Credit Triangle 259

    10.4.1 Definition 259

    10.4.2 Case Study 260

    10.4.3 The Big Picture 263

    10.5 Stochastic Credit 263

    11 Constant Elasticity of Variance 267

    11.1 From Black–Scholes to CEV 267

    11.1.1 Introduction 267

    11.1.2 Leverage Effect 268

    11.1.3 Link with Black–Scholes 269

    11.2 Historical Parameter Estimation 270

    11.3 Valuation: Analytical Solution 274

    11.3.1 Moving Away from Black–Scholes 274

    11.3.2 Semi-Closed-Form Formula 275

    11.3.3 Numerical Example 276

    11.4 Valuation: Trinomial Trees for CEV 277

    11.4.1 American Options 277

    11.4.2 Trinomial Trees for CEV 277

    11.4.3 Numerical Example 279

    11.5 Jump-Extended CEV Process 283

    11.5.1 Introduction 283

    11.5.2 JDCEV-Generated Skew 284

    11.5.3 Convertible Bonds Priced under JDCEV 284

    11.6 Case Study: Pricing Mandatories with CEV 286

    11.6.1 Mandatory Conversion 286

    11.6.2 Numerical Example 287

    11.7 Case Study: Pricing Convertibles with a Reset 288

    11.7.1 Refixing the Conversion Price 288

    11.7.2 Involvement of CEV 291

    11.7.3 Numerical Example 292

    11.8 Calibration of CEV 295

    11.8.1 Introduction 295

    11.8.2 Local or Global Calibration 296

    11.8.3 Calibrating CEV: Step by Step 296

    12 Pricing Contingent Debt 301

    12.1 Introduction 301

    12.2 Credit Derivatives Method 302

    12.2.1 Introduction 302

    12.2.2 Loss 302

    12.2.3 Trigger Intensity (λ Trigger) 303

    12.2.4 CoCo Spread Calculation Example 305

    12.2.5 Case Study: Lloyds Contingent Convertibles 305

    12.3 Equity Derivatives Method 307

    12.3.1 Introduction 307

    12.3.2 Step 1: Zero-Coupon CoCo 308

    12.3.3 Step 2: Adding Coupons 309

    12.3.4 Numerical Example 311

    12.3.5 Case Study: Lloyds Contingent Convertibles 313

    12.3.6 Case Study: Tier 1 and Tier 2 CoCos 316

    12.4 Coupon Deferral 317

    12.5 Using Lattice Models 321

    12.6 Linking Credit to Equity 323

    12.6.1 Introduction 323

    12.6.2 Hedging Credit Through Equity 326

    12.6.3 Credit Elasticity 326

    12.7 CoCos with Upside: CoCoCo 329

    12.7.1 Downside Balanced with Upside 329

    12.7.2 Numerical Example 330

    12.8 Adding Stochastic Credit 333

    12.8.1 Two-Factor Model 333

    12.8.2 Monte Carlo Method 335

    12.8.3 Pricing CoCos in a Two-Factor Model 337

    12.8.4 Case Study 338

    12.9 Avoiding Death Spirals 339

    12.10 Appendix: Pricing Contingent Debt on a Trinomial Tree 341

    12.10.1 Generalized Procedure 341

    12.10.2 Positioning Nodes on the Trigger 343

    12.10.3 Solving the CoCo Price 345

    13 Multi-Factor Models for Hybrids 347

    13.1 Introduction 347

    13.2 Early Exercise 348

    13.3 American Monte Carlo 352

    13.3.1 Longstaff and Schwartz (LS) Technique 352

    13.3.2 Convergence 356

    13.3.3 Example: Longstaff and Schwartz (LS) Step by Step 356

    13.3.4 Adding Calls and Puts 362

    13.4 Multi-Factor Models 364

    13.4.1 Adding Stochastic Interest Rates 364

    13.4.2 Equity–Interest Rate Correlation 365

    13.4.3 Adapting Longstaff and Schwartz (LS) 366

    13.4.4 Convertible Bond under Stochastic Interest Rates 367

    13.4.5 Adding Investor Put 371

    13.5 Conclusion 371

    References 373

    Index 381

The Handbook of Hybrid Securities

    Product form

    £59.85

    Includes FREE delivery

    RRP £63.00 – you save £3.15 (5%)

    Order before 4pm tomorrow for delivery by Mon 10 Aug 2026.

    A Hardback by Jan De Spiegeleer, Wim Schoutens, Cynthia Van Hulle

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of The Handbook of Hybrid Securities by Jan De Spiegeleer

      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 28/03/2014
      ISBN13: 9781118449998, 978-1118449998
      ISBN10: 1118449991

      Description

      Book Synopsis
      Introducing a revolutionary new quantitative approach to hybrid securities valuation and risk management

      To an equity trader they are shares. For the trader at the fixed income desk, they are bonds (after all, they pay coupons, so what''s the problem?). They are hybrid securities. Neither equity nor debt, they possess characteristics of both, and carry unique risks that cannot be ignored, but are often woefully misunderstood. The first and only book of its kind, The Handbook of Hybrid Securities dispels the many myths and misconceptions about hybrid securities and arms you with a quantitative, practical approach to dealing with them from a valuation and risk management point of view.

      • Describes a unique, quantitative approach to hybrid valuation and risk management that uses new structural and multi-factor models
      • Provides strategies for the full range of hybrid asset classes, including convertible bonds, preferreds, trust preferreds, contingent co

        Trade Review

        “The Handbook of Hybrid Debt Securities is a modern state-of-the-art textbook in the field of hybrid debt instruments. It succeeds in combining a comprehensive introduction to the basic concepts of such securities with sophisticated modeling and valuation techniques.” (Financial Markets and Portfolio Management, February 2016)



        Table of Contents

        Reading this Book xv

        Acknowledgments xvii

        1 Hybrid Assets 1

        1.1 Introduction 1

        1.2 Hybrid Capital 1

        1.3 Preferreds 3

        1.4 Convertible Bonds 5

        1.5 Contingent Convertibles 7

        1.6 Other Types of Hybrid Debt 7

        1.6.1 Hybrid Bank Capital 7

        1.6.2 Hybrid Corporate Capital 13

        1.6.3 Toggle Bonds 14

        1.7 Regulation 15

        1.7.1 Making Failures Less Likely 15

        1.7.2 Making Failures Less Disruptive 15

        1.8 Bail-In Capital 16

        1.9 Risk and Rating 17

        1.9.1 Risk 17

        1.9.2 Rating 18

        1.10 Conclusion 18

        2 Convertible Bonds 19

        2.1 Introduction 19

        2.2 Anatomy of a Convertible Bond 22

        2.2.1 Final Payoff 22

        2.2.2 Price Graph 22

        2.2.3 Quotation of a Convertible Bond 23

        2.2.4 Bond Floor (B F) 25

        2.2.5 Parity 27

        2.2.6 Convexity 27

        2.2.7 Optional Conversion 33

        2.2.8 Forced Conversion 35

        2.2.9 Mandatory Conversion 35

        2.3 Convertible Bond Arbitrage 37

        2.3.1 Components of Risk 37

        2.3.2 Delta 42

        2.3.3 Delta Hedging 45

        2.3.4 Different Notions of Delta 45

        2.3.5 Greeks 46

        2.4 Standard Features 47

        2.4.1 Issuer Call 47

        2.4.2 Put 50

        2.4.3 Coupons 53

        2.4.4 Dividends 56

        2.5 Additional Features 58

        2.5.1 Dividend Protection 58

        2.5.2 Take-Over Protection 59

        2.5.3 Refixes 60

        2.6 Other Convertible Bond Types 62

        2.6.1 Exchangeables 62

        2.6.2 Synthetic Convertibles 63

        2.6.3 Cross-Currency Convertibles 64

        2.6.4 Reverse Convertibles 66

        2.6.5 Convertible Preferreds 67

        2.6.6 Make-Whole 67

        2.6.7 Contingent Conversion 67

        2.6.8 Convertible Bond Option 68

        2.7 Convertible Bond Terminology 68

        2.7.1 144a 68

        2.7.2 Fixed-Income Metrics 68

        2.8 Convertible Bond Market 73

        2.8.1 Market Participants 73

        2.8.2 Investors 74

        2.9 Conclusion 76

        3 Contingent Convertibles (CoCos) 77

        3.1 Introduction 77

        3.2 Definition 78

        3.3 Anatomy 79

        3.3.1 Loss-Absorption Mechanism 79

        3.3.2 Trigger 83

        3.3.3 Host Instrument 86

        3.4 CoCos and Convertible Bonds 87

        3.4.1 Forced vs. Optional Conversion 87

        3.4.2 Negative vs. Positive Convexity 88

        3.4.3 Limited vs. Unlimited Upside 89

        3.4.4 Similarity to Reverse Convertibles 89

        3.5 CoCos and Regulations 89

        3.5.1 Introduction 89

        3.5.2 Basel Framework 90

        3.5.3 Basel I 91

        3.5.4 Basel II 92

        3.5.5 Basel III 93

        3.5.6 Cocos in Basel III 101

        3.5.7 High and Low-Trigger CoCos 104

        3.6 Ranking in the Balance Sheet 106

        3.7 Alternative Structures 106

        3.8 Contingent Capital: Pro and Contra 107

        3.8.1 Advantages 107

        3.8.2 Disadvantages 107

        3.8.3 Conclusion 110

        4 Corporate Hybrids 113

        4.1 Introduction 113

        4.2 Issuer of Hybrid Debt 113

        4.3 Investing in Hybrid Debt 114

        4.4 Structure of a Corporate Hybrid Bond 115

        4.4.1 Coupons 115

        4.4.2 Replacement Capital Covenant 118

        4.4.3 Issuer Calls 119

        4.5 View of Rating Agencies 121

        4.6 Risk in Hybrid Bonds 122

        4.6.1 Subordination Risk 122

        4.6.2 Deferral Risk 122

        4.6.3 Extension Risk 122

        4.7 Convexity in Hybrid Bonds 122

        4.7.1 Case Study: Henkel 5.375% 2104 122

        4.7.2 Duration Dynamics 126

        4.8 Equity Character of Hybrid Bonds 126

        5 Bail-In Bonds 127

        5.1 Introduction 127

        5.2 Definition 128

        5.3 Resolution Regime 129

        5.3.1 Resolution Tools 130

        5.3.2 Timetable 130

        5.4 Case Studies 133

        5.4.1 Bail-In of Senior Bonds 133

        5.4.2 Saving Lehman Brothers 134

        5.5 Consequences of Bail-In 136

        5.5.1 Higher Funding Costs 136

        5.5.2 Higher GDP 136

        5.5.3 Availability of Bail-In Bonds 136

        5.5.4 Paying Bankers in Bail-In Bonds 136

        5.6 Conclusion 137

        6 Modeling Hybrids: An Introduction 139

        6.1 Introduction 139

        6.2 Heuristic Approaches 140

        6.2.1 Corporate Hybrids: Yield of a Callable Bond 140

        6.2.2 Convertible Bonds: Break Even 142

        6.3 Building Models 143

        6.3.1 Introduction 143

        6.3.2 Martingales 145

        6.3.3 Model Map 146

        6.3.4 Cheapness 147

        6.4 How Many Factors? 149

        6.5 Sensitivity Analysis 152

        6.5.1 Introduction 152

        6.5.2 Non-linear Model 153

        7 Modeling Hybrids: Stochastic Processes 159

        7.1 Introduction 159

        7.2 Probability Density Functions 159

        7.2.1 Introduction 159

        7.2.2 Normal Distribution 160

        7.2.3 Lognormal Distribution 161

        7.2.4 Exponential Distribution 162

        7.2.5 Poisson Distribution 163

        7.3 Brownian Motion 164

        7.4 Ito Process 165

        7.4.1 Introduction 165

        7.4.2 Ito’s Lemma 166

        7.4.3 Share Prices as Geometric Brownian Motion 169

        7.5 Poisson Process 172

        7.5.1 Definition 172

        7.5.2 Advanced Poisson Processes 174

        7.5.3 Conclusion 176

        8 Modeling Hybrids: Risk Neutrality 177

        8.1 Introduction 177

        8.2 Closed-Form Solution 180

        8.2.1 Introduction 180

        8.2.2 Black–Scholes Solution 182

        8.2.3 Solving the Black–Scholes Equation 183

        8.2.4 Case Study: Reverse Convertible 184

        8.3 Tree-Based Methods 186

        8.3.1 Introduction 186

        8.3.2 Framework 187

        8.3.3 Geometry of the Trinomial Tree 189

        8.3.4 Modeling Share Prices on a Trinomial Tree 193

        8.3.5 European Options on a Trinomial Tree 199

        8.3.6 American Options 200

        8.3.7 Bermudan Options: Imposing a Particular Time Slice 203

        8.4 Finite Difference Technique 204

        8.5 Monte Carlo 205

        8.5.1 Introduction 205

        8.5.2 Generating Random Numbers 206

        9 Modeling Hybrids: Advanced Issues 211

        9.1 Tail Risk in Hybrids 211

        9.2 Jump Diffusion 212

        9.2.1 Introduction 212

        9.2.2 Share Price Process with Jump to Default 214

        9.2.3 Trinomial Trees with Jump to Default 217

        9.2.4 Pricing Convertible Bonds with Jump Diffusion 221

        9.2.5 Lost in Translation 226

        9.3 Correlation 227

        9.3.1 Correlation Risk in Hybrids 227

        9.3.2 Definition 228

        9.3.3 Correlating Wiener Processes 229

        9.3.4 Cholesky Factorization 230

        9.3.5 Cholesky Example 233

        9.3.6 Correlating Events 234

        9.3.7 Using Equity Correlation 235

        9.3.8 Case Study: Correlated Defaults 237

        9.3.9 Case Study: Asset Correlation vs. Default Correlation 238

        9.4 Structural Models 240

        9.5 Conclusion 242

        10 Modeling Hybrids: Handling Credit 243

        10.1 Credit Spread 243

        10.1.1 Definition 243

        10.1.2 Working with Credit Spreads 244

        10.1.3 Option-Adjusted Spread 246

        10.2 Default Intensity 246

        10.2.1 Introduction 246

        10.3 Credit Default Swaps 248

        10.3.1 Definition 248

        10.3.2 Example of a CDS Curve 250

        10.3.3 Availability of CDS Data 250

        10.3.4 Premium and Credit Leg 251

        10.3.5 Valuation 252

        10.3.6 Rule of Thumb 255

        10.3.7 Market Convention 256

        10.3.8 Case Study: Implied Default Probability 257

        10.4 Credit Triangle 259

        10.4.1 Definition 259

        10.4.2 Case Study 260

        10.4.3 The Big Picture 263

        10.5 Stochastic Credit 263

        11 Constant Elasticity of Variance 267

        11.1 From Black–Scholes to CEV 267

        11.1.1 Introduction 267

        11.1.2 Leverage Effect 268

        11.1.3 Link with Black–Scholes 269

        11.2 Historical Parameter Estimation 270

        11.3 Valuation: Analytical Solution 274

        11.3.1 Moving Away from Black–Scholes 274

        11.3.2 Semi-Closed-Form Formula 275

        11.3.3 Numerical Example 276

        11.4 Valuation: Trinomial Trees for CEV 277

        11.4.1 American Options 277

        11.4.2 Trinomial Trees for CEV 277

        11.4.3 Numerical Example 279

        11.5 Jump-Extended CEV Process 283

        11.5.1 Introduction 283

        11.5.2 JDCEV-Generated Skew 284

        11.5.3 Convertible Bonds Priced under JDCEV 284

        11.6 Case Study: Pricing Mandatories with CEV 286

        11.6.1 Mandatory Conversion 286

        11.6.2 Numerical Example 287

        11.7 Case Study: Pricing Convertibles with a Reset 288

        11.7.1 Refixing the Conversion Price 288

        11.7.2 Involvement of CEV 291

        11.7.3 Numerical Example 292

        11.8 Calibration of CEV 295

        11.8.1 Introduction 295

        11.8.2 Local or Global Calibration 296

        11.8.3 Calibrating CEV: Step by Step 296

        12 Pricing Contingent Debt 301

        12.1 Introduction 301

        12.2 Credit Derivatives Method 302

        12.2.1 Introduction 302

        12.2.2 Loss 302

        12.2.3 Trigger Intensity (λ Trigger) 303

        12.2.4 CoCo Spread Calculation Example 305

        12.2.5 Case Study: Lloyds Contingent Convertibles 305

        12.3 Equity Derivatives Method 307

        12.3.1 Introduction 307

        12.3.2 Step 1: Zero-Coupon CoCo 308

        12.3.3 Step 2: Adding Coupons 309

        12.3.4 Numerical Example 311

        12.3.5 Case Study: Lloyds Contingent Convertibles 313

        12.3.6 Case Study: Tier 1 and Tier 2 CoCos 316

        12.4 Coupon Deferral 317

        12.5 Using Lattice Models 321

        12.6 Linking Credit to Equity 323

        12.6.1 Introduction 323

        12.6.2 Hedging Credit Through Equity 326

        12.6.3 Credit Elasticity 326

        12.7 CoCos with Upside: CoCoCo 329

        12.7.1 Downside Balanced with Upside 329

        12.7.2 Numerical Example 330

        12.8 Adding Stochastic Credit 333

        12.8.1 Two-Factor Model 333

        12.8.2 Monte Carlo Method 335

        12.8.3 Pricing CoCos in a Two-Factor Model 337

        12.8.4 Case Study 338

        12.9 Avoiding Death Spirals 339

        12.10 Appendix: Pricing Contingent Debt on a Trinomial Tree 341

        12.10.1 Generalized Procedure 341

        12.10.2 Positioning Nodes on the Trigger 343

        12.10.3 Solving the CoCo Price 345

        13 Multi-Factor Models for Hybrids 347

        13.1 Introduction 347

        13.2 Early Exercise 348

        13.3 American Monte Carlo 352

        13.3.1 Longstaff and Schwartz (LS) Technique 352

        13.3.2 Convergence 356

        13.3.3 Example: Longstaff and Schwartz (LS) Step by Step 356

        13.3.4 Adding Calls and Puts 362

        13.4 Multi-Factor Models 364

        13.4.1 Adding Stochastic Interest Rates 364

        13.4.2 Equity–Interest Rate Correlation 365

        13.4.3 Adapting Longstaff and Schwartz (LS) 366

        13.4.4 Convertible Bond under Stochastic Interest Rates 367

        13.4.5 Adding Investor Put 371

        13.5 Conclusion 371

        References 373

        Index 381

      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