Carol Alexander

Market Risk Analysis, Pricing, Hedging and Trading Financial Instruments

• Gebundenes Buch

Produktbeschreibung

Written by leading market risk academic, Professor Carol Alexander, Pricing, Hedging and Trading Financial Instruments forms part three of the Market Risk Analysis four volume set. This book is an in-depth, practical and accessible guide to the models that are used for pricing and the strategies that are used for hedging financial instruments, and to the markets in which they trade. It provides a comprehensive, rigorous and accessible introduction to bonds, swaps, futures and forwards and options, including variance swaps, volatility indices and their futures and options, to stochastic volatility models and to modelling the implied and local volatility surfaces.

All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include:

Duration-Convexity approximation to bond portfolios, and portfolio immunization;
Pricing floaters and vanilla, basis and variance swaps;
Coupon stripping and yield curve fitting;
Proxy hedging, and hedging international securities and energy futures portfolios;
Pricing models for European exotics, including barriers, Asians, look-backs, choosers, capped, contingent, power, quanto, compo, exchange, 'best-of' and spread options;
Libor model calibration;
Dynamic models for implied volatility based on principal component analysis;
Calibration of stochastic volatility models (Matlab code);
Simulations from stochastic volatility and jump models;
Duration, PV01 and volatility invariant cash flow mappings;
Delta-gamma-theta-vega mappings for options portfolios;
Volatility beta mapping to volatility indices.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Wiley Finance
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 416
• Erscheinungstermin: 9. Juni 2008
• Englisch
• Abmessung: 249mm x 173mm x 30mm
• Gewicht: 900g
• ISBN-13: 9780470997895
• ISBN-10: 0470997893
• Artikelnr.: 23497002

Autorenporträt

Carol Alexander is a Professor of Risk Management at the ICMA Centre, University of Reading, and Chair of the Academic Advisory Council of the Professional Risk Manager's International Association (PRMIA). She is the author of Market Models: A Guide to Financial Data Analysis(John Wiley & Sons Ltd, 2001) and has been editor and contributor of a very large number of books in finance and mathematics, including the multi-volume Professional Risk Manager's Handbook(McGraw-Hill, 2008 and PRMIA Publications). Carol has published nearly 100 academic journal articles, book chapters and books, the majority of which focus on financial risk management and mathematical finance. Professor Alexander is one of the world's leading authorities on market risk analysis. For further details, see www.icmacentre.rdg.ac.uk/alexander

Inhaltsangabe

List of Figures xiii
List of Tables xvii
List of Examples xix
Foreword xxi
Preface to Volume III xxv
III. 1 Bonds and Swaps 1
III.1.1 Introduction 1
III.1.2 Interest Rates 2
III.1.2.1 Continuously Compounded Spot and Forward Rates 3
III.1.2.2 Discretely Compounded Spot Rates 4
III.1.2.3Translation between Discrete Rates and Continuous Rates 6
III.1.2.4 Spot and Forward Rates with Discrete Compounding 6
III.1.2.5 LIBOR 8
III.1.3 Categorization of Bonds 8
III.1.3.1 Categorization by Issuer 9
III.1.3.2 Categorization by Coupon and Maturity 10
III.1.4 Characteristics of Bonds and Interest Rates 10
III.1.4.1 Present Value, Price and Yield 11
III.1.4.2 Relationship between Price and Yield 13
III.1.4.3 Yield Curves 14
III.1.4.4 Behaviour of Market Interest Rates 17
III.1.4.5 Characteristics of Spot and Forward Term Structures 19
III.1.5 Duration and Convexity 20
III.1.5.1 Macaulay Duration 21
III.1.5.2 Modified Duration 23
III.1.5.3 Convexity 24
III.1.5.4 Duration and Convexity of a Bond Portfolio 24
III.1.5.5 Duration-Convexity Approximations to Bond Price Change 25
III.1.5.6 Immunizing Bond Portfolios 26
III.1.6 Bonds with Semi-Annual and Floating Coupons 28
III.1.6.1 Semi-Annual and Quarterly Coupons 29
III.1.6.2 Floating Rate Notes 31
III.1.6.3 Other Floaters 33
III.1.7 Forward Rate Agreements and Interest Rate Swaps 33
III.1.7.1 Forward Rate Agreements 34
III.1.7.2 Interest Rate Swaps 35
III.1.7.3 Cash Flows on Vanilla Swaps 36
III.1.7.4 Cross-Currency Swaps 38
III.1.7.5 Other Swaps 40
III.1.8 Present Value of a Basis Point 41
III.1.8.1 PV01 and Value Duration 41
III.1.8.2 Approximations to PV 01 44
III.1.8.3 Understanding Interest Rate Risk 45
III.1.9 Yield Curve Fitting 48
III.1.9.1 Calibration Instruments 48
III.1.9.2 Bootstrapping 49
III.1.9.3 Splines 51
III.1.9.4 Parametric Models 52
III.1.9.5 Case Study: Statistical Properties of Forward LIBOR Rates 53
III.1.10 Convertible Bonds 59
III.1.10.1 Characteristics of Convertible Bonds 60
III.1.10.2 Survey of Pricing Models for Convertible Bonds 61
III.1.11 Summary and Conclusions 62
III. 2 Futures and Forwards 65
III.2.1 Introduction 65
III.2.2 Characteristics of Futures and Forwards 68
III.2.2.1 Interest Rate and Swap Futures 68
III 2.2.2 Bond Futures 70
III.2.2.3 Currency Futures and Forwards 73
III.2.2.4 Energy and Commodity Futures 74
III.2.2.5 Stock Futures and Index Futures 79
III.2.2.6 Exchange Traded Funds and ETF Futures 80
III.2.2.7 New Futures Markets 82
III.2.3 Theoretical Relationships between Spot, Forward and Futures 87
III.2.3.1 No Arbitrage Pricing 87
III.2.3.2 Accounting for Dividends 88
III.2.3.3 Dividend Risk and Interest Rate Risk 90
III.2.3.4 Currency Forwards and the Interest Rate Differential 91
III.2.3.5 No Arbitrage Prices for Forwards on Bonds 92
III.2.3.6 Commodity Forwards, Carry Costs and Convenience Yields 93
III.2.3.7 Fair Values of Futures and Spot 94
III.2.4 The Basis 95
III.2.4.1 No Arbitrage Range 95
III.2.4.2 Correlation between Spot and Futures Returns 97
III.2.4.3 Introducing Basis Risk 98
III.2.4.4 Basis Risk in Commodity Markets 100
III.2.5 Hedging with Forwards and Futures 101
III.2.5.1 Traditional 'Insurance' Approach 102
III.2.5.2 Mean-Variance Approach 104
III.2.5.3 Understanding the Minimum Variance Hedge Ratio 106
III.2.5.4 Position Risk 108
III.2.5.5 Proxy Hedging 110
III.2.5.6 Basket Hedging 111
III.2.5.7 Performance Measures for Hedged Portfolios 112
III.2.6 Hedging in Practice 113
III.2.6.1 Hedging Forex Risk 113
III.2.6.2 Hedging International Stock Portfolios 114
III.2.6.3 Case Study: Hedging an Energy Futures Portfolio 118
III.2.6.4 Hedging Bond Portfolios 124
III.2.7 Using Futures for Short Term Hedging 126
III.2.7.1 Regression Based Minimum Variance Hedge Ratios 127
III.2.7.2 Academic Literature on Minimum Variance Hedging 129
III.2.7.3 Short Term Hedging in Liquid Markets 131
III.2.8 Summary and Conclusions 133
III. 3 Options 137
III.3.1 Introduction 137
III.3.2 Foundations 139
III.3.2.1 Arithmetic and Geometric Brownian Motion 140
III.3.2.2 Risk Neutral Valuation 142
III.3.2.3 Numeraire and Measure 144
III.3.2.4 Market Prices and Model Prices 146
III.3.2.5 Parameters and Calibration 147
III.3.2.6 Option Pricing: Review of the Binomial Model 148
III.3.3 Characteristics of Vanilla Options 151
III.3.3.1 Elementary Options 152
III.3.3.2 Put-Call Parity 153
III 3.3.3 Moneyness 154
III.3.3.4 American Options 155
III.3.3.5 Early Exercise Boundary 156
III.3.3.6 Pricing American Options 158
III.3.4 Hedging Options 159
III.3.4.1 Delta 159
III.3.4.2 Delta Hedging 161
III.3.4.3 Other Greeks 161
III.3.4.4 Position Greeks 163
III.3.4.5 Delta-Gamma Hedging 164
III.3.4.6 Delta-Gamma-Vega Hedging 165
III.3.5 Trading Options 167
III.3.5.1 Bull Strategies 167
III.3.5.2 Bear Strategies 168
III.3.5.3 Other Spread Strategies 169
III.3.5.4 Volatility Strategies 170
III.3.5.5 Replication of P&L Profiles 172
III.3.6 The Black-Scholes-Merton Model 173
III.3.6.1 Assumptions 174
III.3.6.2 Black-Scholes-Merton PDE 175
III.3.6.3 Is the Underlying the Spot or the Futures Contract? 176
III.3.6.4 Black-Scholes-Merton Pricing Formula 178
III.3.6.5 Interpretation of the Black-Scholes-Merton Formula 180
III.3.6.6 Implied Volatility 183
III.3.6.7 Adjusting BSM Prices for Stochastic Volatility 183
III.3.7 The Black-Scholes-Merton Greeks 186
III.3.7.1 Delta 187
III.3.7.2 Theta and Rho 188
III.3.7.3 Gamma 189
III.3.7.4 Vega, Vanna and Volga 190
III.3.7.5 Static Hedges for Standard European Options 193
III.3.8 Interest Rate Options 194
III.3.8.1 Caplets and Floorlets 195
III.3.8.2 Caps, Floors and their Implied Volatilities 196
III.3.8.3 European Swaptions 198
III.3.8.4 Short Rate Models 199
III.3.8.5 LIBOR Model 201
III.3.8.6 Case Study: Application of PCA to LIBOR Model Calibration 203
III.3.9 Pricing Exotic Options 207
III.3.9.1 Pay-offs to Exotic Options 208
III.3.9.2 Exchange Options and Best/Worst of Two Asset Options 209
III.3.9.3 Spread Options 211
III.3.9.4 Currency Protected Options 213
III.3.9.5 Power Options 214
III.3.9.6 Chooser Options and Contingent Options 214
III.3.9.7 Compound Options 216
III.3.9.8 Capped Options and Ladder Options 216
III.3.3.9 Look-Back and Look-Forward Options 218
III.3.9.10 Barrier Options 219
III.3.9.11 Asian Options 221
III.3.10 Summary and Conclusions 224
III. 4 Volatility 227
III.4. 1 Introduction 227
III.4. 2 Implied Volatility 231
III.4.2.1 'Backing Out' Implied Volatility from a Market Price 231
III.4.2.2 Equity Index Volatility Skew 233
III.4.2.3 Smiles and Skews in Other Markets 236
III.4.2.4 Term Structures of Implied Volatilities 238
III.4.2.5 Implied Volatility Surfaces 239
III.4.2.6 Cap and Caplet Volatilities 240
III.4.2.7 Swaption Volatilities 242
III.4.3 Local Volatility 243
III.4.3.1 Forward Volatility 244
III.4.3.2 Dupire's Equation 245
III.4.3.3 Parametric Models of Local Volatility 248
III.4.3.4 Lognormal Mixture Diffusion 249
III.4.4 Modelling the Dynamics of Implied Volatility 255
III.4.4.1 Sticky Models 255
III.4.4.2 Case Study I: Principal Component Analysis of Implied
Volatilities 257
III.4.4.3 Case Study II: Modelling the ATM Volatility-Index Relationship
261
III 4.4.4 Case Study III: Modelling the Skew Sensitivities 264
III.4.4.5 Applications of Implied Volatility Dynamics to Hedging Options
265
III.4. 5 Stochastic Volatility Models 268
III.4.5. 1 Stochastic Volatility PDE 269
III.4.5. 2 Properties of Stochastic Volatility 271
III.4.5. 3 Model Implied Volatility Surface 275
III.4.5. 4 Model Local Volatility Surface 277
III.4.5. 5 Heston Model 278
III.4.5. 6 GARCH Diffusions 280
III.4.5. 7 CEV and SABR Models 285
III.4.5. 8 Jumps in Prices and in Stochastic Volatility 287
III.4. 6 Scale Invariance and Hedging 289
III.4.6. 1 Scale Invariance and Change of Numeraire 291
III.4.6. 2 Definition of Scale Invariance 291
III.4.6. 3 Scale Invariance and Homogeneity 292
III.4.6. 4 Model Free Price Hedge Ratios 294
III.4.6. 5 Minimum Variance Hedging 297
III.4.6. 6 Minimum Variance Hedge Ratios in Specific Models 299
III.4.6. 7 Empirical Results 300
III.4. 7 Trading Volatility 303
III.4.7. 1 Variance Swaps and Volatility Swaps 304
III.4.7. 2 Trading Forward Volatility 306
III.4.7. 3 Variance Risk Premium 307
III.4.7. 4 Construction of a Volatility Index 308
III.4.7. 5 Effect of the Skew 309
III.4.7. 6 Term Structures of Volatility Indices 309
III.4.7. 7 Vix and Other Volatility Indices 311
III.4.7. 8 Volatility Index Futures 312
III.4.7. 9 Options on Volatility Indices 314
III.4.7.10 Using Realized Volatility Forecasts to Trade Volatility 315
III.4. 8 Summary and Conclusion 316
III. 5 Portfolio Mapping 321
III.5. 1 Introduction 321
III.5. 2 Risk Factors and Risk Factor Sensitivities 323
III.5.2. 1 Interest Rate Sensitive Portfolios 323
III.5.2. 2 Equity Portfolios 324
III.5.2. 3 International Exposures 327
III.5.2. 4 Commodity Portfolios 328
III.5.2. 5 Option Portfolios 328
III.5.2. 6 Orthogonalization of Risk Factors 330
III.5.2. 7 Nominal versus Percentage Risk Factors and Sensitivities 330
III.5. 3 Cash Flow Mapping 332
III.5.3. 1 Present Value Invariant and Duration Invariant Maps 332
III.5.3. 2 PV01 Invariant Cash Flow Maps 333
III.5.3. 3 Volatility Invariant Maps 334
III.5.3. 4 Complex Cash Flow Maps 336
III.5. 4 Applications of Cash Flow Mapping to Market Risk Management 337
III.5.4. 1 Risk Management of Interest Rate Sensitive Portfolios 337
III.5.4. 2 Mapping Portfolios of Commodity Futures 338
III.5. 5 Mapping an Option Portfolio to Price Risk Factors 340
III.5.5. 1 Taylor Expansions 341
III.5.5. 2 Value Delta and Value Gamma 342
III.5.5. 3 Delta-Gamma Approximation: Single Underlying 344
III.5.5. 4 Effect of Gamma on Portfolio Risk 346
III 5 Price Beta Mapping 347
III.5.5. 6 Delta-Gamma Approximation: Several Underlyings 349
III.5.5. 7 Including Time and Interest Rates Sensitivities 351
III.5. 6 Mapping Implied Volatility 353
III.5.6. 1 Vega Risk in Option Portfolios 353
III.5.6. 2 Second Order Approximations: Vanna and Volga 354
III.5.6. 3 Vega Bucketing 355
III.5.6. 4 Volatility Beta Mapping 356
III.5. 7 Case Study: Volatility Risk in FTSE 100 Options 357
III.5.7. 1 Estimating the Volatility Betas 357
III.5.7. 2 Model Risk of Volatility Mapping 360
III.5.7. 3 Mapping to Term Structures of Volatility Indices 361
III.5.7. 4 Using PCA with Volatility Betas 361
III.5. 8 Summary and Conclusions 364
References 367
Index 377