[eBook Code] Measure, Probability, and Mathematical Finance (eBook Code, 1st)

Preface xvii

Financial Glossary xxii

Part I Measure Theory

1 Sets and Sequences 3

2 Measures 15

3 Extension of Measures 29

4 Lebesgue-Stieltjes Measures 37

5 Measurable Functions 47

6 Lebesgue Integration 57

7 The Radon-Nikodym Theorem 77

8 L^P Spaces 85

9 Convergence 97

10 Product Measures 113

Part II Probability Theory

11 Events and Random Variables 127

12 Independence 141

13 Expectation 161

14 Conditional Expectation 173

15 Inequalities 189

16 Law of Large Numbers 199

17 Characteristic Functions 217

18 Discrete Distributions 227

19 Continuous Distributions 239

20 Central Limit Theorems 257

Part III Stochastic Processes

21 Stochastic Processes 271

22 Martingales 291

23 Stopping Times 301

24 Martingale Inequalities 321

25 Martingale Convergence Theorems 333

26 Random Walks 343

27 Poisson Processes 357

28 Brownian Motion 373

29 Markov Processes 389

30 Lévy Processes 401

Part IV Stochastic Calculus

31 The Wiener Integral 421

32 The Itô Integral 431

33 Extension of the Itô Integral 453

34 Martingale Stochastic Integrals 463

35 The Itô Formula 477

36 Martingale Representation Theorem 495

37 Change of Measure 503

38 Stochastic Differential Equations 515

39 Diffusion 531

40 The Feynman-Kac Formula 547

Part V Stochastic Financial Models

41 Discrete-Time Models 561

42 Black-Scholes Option Pricing Models 579

43 Path-Dependent Options 593

44 American Options 609

45 Short Rate Models 629

46 Instantaneous Forward Rate Models 647

47 LIBOR Market Models 667

References 687

List of Symbols 703

Subject Index 707