Arbitrage Theory in Continuous Time

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Transcription:

Arbitrage Theory in Continuous Time THIRD EDITION TOMAS BJORK Stockholm School of Economics OXTORD UNIVERSITY PRESS

1 Introduction 1 1.1 Problem Formulation i 1 v. 2 The Binomial Model 5 2.1 The One Period Model 5 2.1.1 Model Description 5 2.1.2 Portfolios and Arbitrage 6 2.1.3 Contingent Claims 9 2.1.4 Risk Neutral Valuation 11 2.2 The Multiperiod Model 15 2.2.1 Portfolios and Arbitrage 15 2.2.2 Contingent Claims 17 2.3 Exercises 25 2.4 Notes 25 3 A More General One Period Model 26 3.1 The Model 26 3.2 Absence of Arbitrage 27 3.3 Martingale Measures 32 3.4 Martingale Pricing 34 3.5 Completeness 35 3.6 Stochastic Discount Factors 38 3.7 Exercises 39 4 Stochastic Integrals 40 4.1 Introduction 40 4.2 Information 42 4.3 Stochastic Integrals 44 4.4 Martingales 46 4.5 Stochastic Calculus and the Ito Formula 49 4.6 Examples 54 4.7 The Multidimensional Ito Formula 57 4.8 Correlated Wiener Processes 59 4.9 Exercises 63 4.10 Notes 65 5 Differential Equations 66 5.1 Stochastic Differential Equations 66 5.2 Geometric Brownian Motion 67 5.3 The Linear SDE 70 5.4 The Infinitesimal Operator 71

5.5 Partial Differential Equations 72 5.6 The Kolmogorov Equations 76 5.7 Exercises 79 5.8 Notes 83 6 Portfolio Dynamics 84 6.1 Introduction 84 6.2 Self-financing Portfolios ; 87 6.3 Dividends V. _.. 89 6.4 Exercises 91 7 Arbitrage Pricing 92 7.1 Introduction 92 7.2 Contingent Claims and Arbitrage 93 7.3 The Black-Scholes Equation 98 7.4 Risk Neutral Valuation 102 7.5 The Black-Scholes Formula 104 7.6 Options on Futures 106 7.6.1 Forward Contracts 106 7.6.2 Futures Contracts and the Black Formula 107 7.7 Volatility 108 7.7.1 Historic Volatility 109 7.7.2 Implied Volatility 110 7.8 American Options 110 7.9 Exercises 112 7.10 Notes 114 8 Completeness and Hedging 115 8.1 Introduction 115 8.2 Completeness in the Black-Scholes Model 116 8.3 Completeness Absence of Arbitrage 121 8.4 Exercises 122 8.5 Notes 124 9 Parity Relations and Delta Hedging 125 9.1 Parity Relations 125 9.2 The Greeks 127 9.3 Delta and Gamma Hedging 130 9.4 Exercises ' 134 10 The Martingale Approach to Arbitrage Theory* 137 10.1 The Case with Zero Interest Rate 137 10.2 Absence of Arbitrage 140 10.2.1 A Rough Sketch of the Proof 141 10.2.2 Precise Results 144 10.3 The General Case 146

10.4 Completeness 149 10.5 Martingale Pricing 151 10.6 Stochastic Discount Factors 153 10.7 Summary for the Working Economist 154 10.8 Notes 156 11 The Mathematics of the Martingale Approach* 158 11.1 Stochastic Integral Representations. 158 11.2 The Girsanov Theorem: Heuristics v - 162 11.3 The Girsanov Theorem 164 11.4 The Converse of the Girsanov Theorem 168 11.5 Girsanov Transformations and Stochastic Differentials 168 11.6 Maximum Likelihood Estimation 169 11.7 Exercises 171 11.8 Notes 172 12 Black-Scholes from a Martingale Point of View* 173 12.1 Absence of Arbitrage 173 12.2 Pricing 175 12.3 Completeness 176 13 Multidimensional Models: Classical Approach 179 13.1 Introduction 179 13.2 Pricing 181 13.3 Risk Neutral Valuation 187 13.4 Reducing the State Space 188 13.5 Hedging 192 13.6 Exercises 195 14 Multidimensional Models: Martingale Approach* 196 14.1 Absence of Arbitrage 197 14.2 Completeness 199 14.3 Hedging 200 14.4 Pricing 202 14.5 Markovian Models and PDEs 203 14.6 Market Prices of Risk 204 14.7 Stochastic Discount Factors 205 14.8 The Hansen-Jagannathan Bounds 205 14.9 Exercises 208 14.10 Notes 208 15 Incomplete Markets 209 15.1 Introduction 209 15.2 A Scalar Nonpriced Underlying Asset 209 15.3 The Multidimensional Case 218 15.4 A Stochastic Short Rate 222

15.5 The Martingale Approach* 223 15.6 Summing Up 224 15.7 Exercises 227 15.8 Notes 228 16 Dividends 229 16.1 Discrete Dividends 229 16.1.1 Price Dynamics and Dividend Structure 229 16.1.2 Pricing Contingent Claims K. 230 16.2 Continuous Dividends 235 16.2.1 Continuous Dividend Yield 236 16.2.2 The General Case 239 16.3 The Martingale Approach* 241 16.3.1 The Bank Account as Numeraire 242 16.3.2 An Arbitrary Numeraire 243 16.4 Exercises 246 17 Currency Derivatives 247 17.1 Pure Currency Contracts 247 17.2 Domestic and Foreign Equity Markets 250 17.3 Domestic and Foreign Market Prices of Risk 256 17.4 The Martingale Approach* 260 17.5 Exercises 263 17.6 Notes 264 18 Barrier Options 265 18.1 Mathematical Background 265 18.2 Out Contracts 267 18.2.1 Down-and-out Contracts 267 18.2.2 Up-and-out Contracts 271 18.2.3 Examples 272 18.3 In Contracts 276 18.4 Ladders 278 18.5 Lookbacks 279 18.6 Exercises 281 18.7 Notes 281 19 Stochastic Optimal Control 282 19.1 An Example 282 19.2 The Formal Problem 283 19.3 The Hamilton-Jacobi-Bellman Equation 286 19.4 Handling the HJB Equation 294 19.5 The Linear Regulator 295 19.6 Optimal Consumption and Investment 297 19.6.1 A Generalization 297 19.6.2 Optimal Consumption 299

19.7 The Mutual Fund Theorems 302 19.7.1 The Case with No Risk Free Asset 302 19.7.2 The Case with a Risk Free Asset 306 19.8 Exercises 308 19.9 Notes 312 20 The Martingale Approach to Optimal Investment* 313 20.1. Generalities. 313 20.2 The Basic Idea v.. _. 314 20.3 The Optimal Terminal Wealth 315 20.4 The Optimal Portfolio. 317 20.5 Power Utility 318 20.5.1 The Optimal Terminal Wealth Profile 318 20.5.2 The Optimal Wealth Process 320 20.5.3 The Optimal Portfolio 321 20.6 The'Markovian Case 322 20.7 Log Utility 324 20.8 Exponential Utility 324 20.8.1 The Optimal Terminal Wealth 325 20.8.2 The Optimal Wealth Process 325 20.8.3 The Optimal Portfolio 326 20.9 Exercises 327 20.10 Notes 328 21 Optimal Stopping Theory and American Options* 329 21.1 Introduction 329 21.2 Generalities 329 21.3 Some Simple Results 330 21.4 Discrete Time 331 21.4.1 The General Case 331 21.4.2 Markovian Models 335 21.4.3 Infinite Horizon 337 21.5 Continuous Time 339 21.5.1 General Theory 339 21.5.2 Diffusion Models 341 21.5.3 Connections to the General Theory 345 21.6 American Options 345 21.6.1 The American Call Without Dividends 345 21.6.2 The American Put Option 346 21.6.3 The Perpetual American Put 347 21.7 Exercises 348 21.8 Notes 349 22 Bonds and Interest Rates 350 22.1 Zero Coupon Bonds 350

22.2 Interest Rates 351 22.2.1 Definitions 351 22.2.2 Relations between df(t,t), dp(t,t) and dr(t) 353 22.2.3 An Alternative View of the Money Account 356 22.3 Coupon Bonds, Swaps and Yields 357 22.3.1 Fixed Coupon Bonds 358 22.3.2 Floating Rate Bonds 358 22.3.3 Interest Rate Swaps [ 360 22.3.4 Yield and Duration ' ' 361 22.4 Exercises 362 22.5 Notes ' 363 23 Short Rate Models 364 23.1 Generalities 364 23.2 The Term Structure Equation 367 23.3 Exercises 372 23.4 Notes 373 24 Martingale Models for the Short Rate 374 24.1 Q-dynamics 374 24.2 Inversion of the Yield Curve 375 24.3 Affine Term Structures 377 24.3.1 Definition and Existence 377 24.3.2 A Probabilistic Discussion 379 24.4 Some Standard Models 381 24.4.1 The Vasicek Model 381 24.4.2 The Ho-Lee Model 382 24.4.3 The CIR Model 383 24.4.4 The Hull-White Model 383 24.5 Exercises 386 24.6 Notes 387 25 Forward Rate Models 388 25.1 The Heath-Jarrow-Morton Framework 388 25.2 Martingale Modeling 390 25.3 The Musiela Parameterization 392 25.4 Exercises 393 25.5 Notes, 395 26 Change of Numeraire* 396 26.1 Introduction 396 26.2 Generalities 397 26.3 Changing the Numeraire 401 26.4 Forward Measures 403 26.4.1 Using the T-bond as Numeraire 403 26.4.2 An Expectation Hypothesis 405

26.5 A General Option Pricing Formula 406 26.6 The Hull-White Model 409 26.7 The General Gaussian Model 411 26.8 Caps and Floors 413 26.9 The Numeraire Portfolio 414 26.10 Exercises 415 26.11 Notes 415 27 LIBOR and Swap Market Models K 417 27.1 Caps: Definition and Market Practice 418 27.2 The LIBOR Market Model 420 27.3 Pricing Caps in the LIBOR Model 421 27.4 Terminal Measure Dynamics and Existence 422 27.5 Calibration and Simulation 425 27.6 The Discrete Savings Account 427 27.7 Swaps. 428 27.8 Swaptions: Definition and Market Practice 430 27.9 The Swap Market Models 431 27.10 Pricing Swaptions in the Swap Market Model 432 27.11 Drift Conditions for the Regular Swap Market Model 433 27.12 Concluding Comment 436 27.13 Exercises 436 27.14 Notes 437 28 Potentials and Positive Interest 438 28.1 Generalities 438 28.2 The Flesaker-Hughston Framework 439 28.3 Changing Base Measure 443 28.4 Decomposition of a Potential 444 28.5 The Markov Potential Approach of Rogers 445 28.6 Exercises 449 28.7 Notes 451 29 Forwards and Futures 452 29.1 Forward Contracts 452 29.2 Futures Contracts 454 29.3 Exercises 457 29.4 Notes, 457 A Measure and Integration* 458 A.I Sets and Mappings 458 A.2 Measures and Sigma Algebras 460 A.3 Integration 462 A.4 Sigma-Algebras and Partitions 467 A.5 Sets of Measure Zero 468 A.6 The U> Spaces 469

A. 7 Hilbert Spaces 470 A.8 Sigma-Algebras and Generators 473 A.9 Product Measures 476 A.10 The Lebesgue Integral 477 A. 11 The Radon-Nikodym Theorem 478 A. 12 Exercises 482 A. 13 Notes 483 i B Probability Theory* V _- 484 B.I Random Variables and Processes 484 B.2 Partitions and Information 487 B.3 Sigma-algebras and Information 489 B.4 Independence 492 B.5 Conditional Expectations 493 B.6 Equivalent Probability Measures 500 B.7 Exercises 502 B.8 Notes 503 C Martingales and Stopping Times* 504 C.I Martingales 504 C.2 Discrete Stochastic Integrals 507 C.3 Likelihood Processes 508 C.4 Stopping Times 509 C.5 Exercises 512 References 514 Index 521