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Interest Rate Modeling: Theory and Practice Book

Interest Rate Modeling: Theory and Practice
Interest Rate Modeling: Theory and Practice, Containing many results that are new or exist only in recent research articles, Interest Rate Modeling: Theory and Practice portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation. It int, Interest Rate Modeling: Theory and Practice has a rating of 4.5 stars
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Interest Rate Modeling: Theory and Practice, Containing many results that are new or exist only in recent research articles, Interest Rate Modeling: Theory and Practice portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation. It int, Interest Rate Modeling: Theory and Practice
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  • Interest Rate Modeling: Theory and Practice
  • Written by author Lixin Wu
  • Published by Taylor & Francis, Inc., May 2009
  • Containing many results that are new or exist only in recent research articles, Interest Rate Modeling: Theory and Practice portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation. It int
  • Containing many results that are new or exist only in recent research articles, Interest Rate Modeling: Theory and Practice portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation. It
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Preface xiii

Acknowledgments xvii

Author xix

Chapter 1 The Basics of Stochastic Calculus 1

1.1 Brownian Motion 2

1.1.1 Simple Random Walks 2

1.1.2 Brownian Motion 4

1.1.3 Adaptive and Non-Adaptive Functions 6

1.2 Stochastic Integrals 8

1.2.1 Evaluation of Stochastic Integrals 11

1.3 Stochastic Differentials and Ito's Lemma 13

1.4 Multi-Factor Extensions 18

1.4.1 Multi-Factor Ito's Process 19

1.4.2 Ito's Lemma 20

1.4.3 Correlated Brownian Motions 20

1.4.4 The Multi-Factor Lognormal Model 21

1.5 Martingales 22

Chapter 2 The Martingale Representation Theorem 27

2.1 Changing Measures With Binomial Models 28

2.1.1 A Motivating Example 28

2.1.2 Binomial Trees and Path Probabilities 30

2.2 Change of Measures Under Brownian Filtration 34

2.2.1 The Radon-Nikodym Derivative of a Brownian Path 34

2.2.2 The CMG Theorem 37

2.3 The Martingale Representation Theorem 38

2.4 A Complete Market with Two Securities 39

2.5 Replicating And Pricing of Contingent Claims 40

2.6 Multi-Factor Extensions 43

2.7 A Complete Market With Multiple Securities 44

2.7.1 Existence of a Martingale Measure 44

2.7.2 Pricing Contingent Claims 47

2.8 The Black-Scholes Formula 48

2.9 Notes 51

Chapter 3 Interest Rates and Bonds 59

3.1 Interest Rates And Fixed-Income Instruments 60

3.1.1 Short Rate and Money Market Accounts 60

3.1.2 Term Rates and Certificates of Deposit 61

3.1.3 Bonds and Bond Markets 62

3.1.4 Quotation and Interest Accrual 64

3.2 Yields 66

3.2.1 Yield to Maturity 66

3.2.2 Par Bonds, Par Yields, and the Par Yield Curve 69

3.2.3 Yield Curves for U.S. Treasuries 69

3.3 Zero-Coupon Bonds And Zero-Coupon Yields 70

3.3.1 Zero-CouponBonds 70

3.3.2 Bootstrapping the Zero-Coupon Yields 72

3.3.2.1 Future Value and Present Value 73

3.4 Forward Rates And Forward-Rate Agreements 73

3.5 Yield-Based Bond Risk Management 75

3.5.1 Duration and Convexity 75

3.5.2 Portfolio Risk Management 78

Chapter 4 The Heath-Jarrow-Morton Model 81

4.1 Lognormal Model: The Starting Point 83

4.2 The HJM Model 86

4.3 Special Cases of the HJM Model 89

4.3.1 The Ho-Lee Model 90

4.3.2 The Hull-White (or Extended Vasicek) Model 91

4.4 Estimating The HJM Model From Yield Data 94

4.4.1 From a Yield Curve to a Forward-Rate Curve 94

4.4.2 Principal Component Analysis 99

4.5 A Case Study With A Two-Factor Model 105

4.6 Monte Carlo Implementations 107

4.7 Forward Prices 110

4.8 Forward Measure 113

4.9 Black's Formula For Call And Put Options 116

4.9.1 Equity Options under the Hull-White Model 118

4.9.2 Options on Coupon Bonds 122

4.10 Numeraires and Changes of Measure 125

4.11 Notes 127

Chapter 5 Short-Rate Models and Lattice Implementation 133

5.1 From Short-Rate Models To Forward-Rate Models 134

5.2 General Markovian Models 137

5.2.1 One-Factor Models 144

5.2.2 Monte Carlo Simulations for Options Pricing 146

5.3 Binomial Trees of Interest Rates 147

5.3.1 A Binomial Tree for the Ho-Lee Model 148

5.3.2 Arrow-Debreu Prices 149

5.3.3 A Calibrated Tree for the Ho-Lee Model 152

5.4 A General Tree-Building Procedure 156

5.4.1 A Truncated Tree for the Hull-White Model 156

5.4.2 Trinomial Trees with Adaptive Time Steps 162

5.4.3 The Black-Karasinski Model 163

Chapter 6 The Libor Market Model 167

6.1 Libor Market Instruments 167

6.1.1 Libor Rates 168

6.1.2 Forward-Rate Agreements 169

6.1.3 Repurchasing Agreement 171

6.1.4 Eurodollar Futures 171

6.1.5 Floating-Rate Notes 172

6.1.6 Swaps 174

6.1.7 Caps 177

6.1.8 Swaptions 178

6.1.9 Bermudan Swaptions 179

6.1.10 Libor Exotics 179

6.2 The Libor Market Model 182

6.3 Pricing of Caps And Floors 187

6.4 Pricing of Swaptions 188

6.5 Specifications of the Libor Market Model 196

6.6 Monte Carlo Simulation Method 200

6.6.1 The Log-Euler Scheme 200

6.6.2 Calculation of the Greeks 201

6.6.3 Early Exercise 202

Chapter 7 Calibration of Libor Market Model 211

7.1 Implied Cap And Caplet Volatilities 212

7.2 Calibrating the Libor Market Model to Caps 216

7.3 Calibration to Caps, Swaptions, And Input Correlations 218

7.4 Calibration Methodologies 224

7.4.1 Rank-Reduction Algorithm 224

7.4.2 The Eigenvalue Problem for Calibrating to Input Prices 237

7.5 Sensitivity With Respect to the Input Prices 250

7.6 Notes 253

Chapter 8 Volatility and Correlation Adjustments 255

8.1 Adjustment Due to Correlations 256

8.1.1 Futures Price versus Forward Price 256

8.1.2 Convexity Adjustment for Libor Rates 261

8.1.3 Convexity Adjustment under the Ho-Lee Model 263

8.1.4 An Example of Arbitrage 264

8.2 Adjustment Due To Convexity 266

8.2.1 Payment in Arrears versus Payment in Advance 266

8.2.2 Geometric Explanation for Convexity Adjustment 268

8.2.3 General Theory of Convexity Adjustment 269

8.2.4 Convexity Adjustment for CMS and CMT Swaps 273

8.3 Timing Adjustment 276

8.4 Quanto Derivatives 278

8.5 Notes 284

Chapter 9 Affine Term Structure Models 287

9.1 An Exposition with One-Factor Models 288

9.2 Analytical Solution Of Riccarti Equations 297

9.3 Pricing Options on Coupon Bonds 301

9.4 Distributional Properties of Square-Root Processes 302

9.5 Multi-Factor Models 303

9.5.1 Admissible ATSMs 305

9.5.2 Three-Factor ATSMs 306

9.6 Swaption Pricing Under ATSMs 310

9.7 Notes 315

References 319

Index 327


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