Applied Stochastic Control of Jump Diffusions

by ; ;
Format: Paperback
Pub. Date: 2005-01-30
Publisher(s): Springer Verlag
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Summary

The main purpose of the book is to give a rigorous, yet mostly nontechnical, introduction to the most important and useful solution methods of various types of stochastic control problems for jump diffusions and its applications. The types of control problems covered include classical stochastic control, optimal stopping, impulse control and singular control. Both the dynamic programming method and the maximum principle method are discussed, as well as the relation between them. Corresponding verification theorems involving the Hamilton-Jacobi Bellman equation and/or (quasi-)variational inequalities are formulated. There are also chapters on the viscosity solution formulation and numerical methods. The text emphasises applications, mostly to finance. All the main results are illustrated by examples and exercises appear at the end of each chapter with complete solutions. This will help the reader understand the theory and see how to apply it. The book assumes some basic knowledge of stochastic analysis, measure theory and partial differential equations.

Author Biography

Agnes Sulem is a researcher at INRIA, the French National Institute for Research in Computer Science and Control, in Rocquencourt near Paris, and teaches in the doctoral program at Paris-Dauphine.

Table of Contents

1 Stochastic Calculus with Jump diffusions
1(26)
1.1 Basic definitions and results on Lévy Processes
1(4)
1.2 The Itô formula and related results
5(5)
1.3 Lévy stochastic differential equations
10(2)
1.4 The Girsanov theorem and applications
12(7)
1.5 Application to finance
19(3)
1.6 Exercises
22(5)
2 Optimal Stopping of Jump Diffusions
27(12)
2.1 A general formulation and a verification theorem
27(4)
2.2 Applications and examples
31(5)
2.3 Exercises
36(3)
3 Stochastic Control of Jump Diffusions
39(20)
3.1 Dynamic programming
39(7)
3.2 The maximum principle
46(6)
3.3 Application to finance
52(3)
3.4 Exercises
55(4)
4 Combined Optimal Stopping and Stochastic Control of Jump Diffusions
59(12)
4.1 Introduction
59(1)
4.2 A general mathematical formulation
60(5)
4.3 Applications
65(4)
4.4 Exercises
69(2)
5 Singular Control for Jump Diffusions
71(10)
5.1 An illustrating example
71(2)
5.2 A general formulation
73(3)
5.3 Application to portfolio optimization with transaction costs
76(2)
5.4 Exercises
78(3)
6 Impulse Control of Jump Diffusions
81(16)
6.1 A general formulation and a verification theorem
81(4)
6.2 Examples
85(9)
6.3 Exercices
94(3)
7 Approximating Impulse Control of Diffusions by Iterated Optimal Stopping
97(16)
7.1 Iterative scheme
97(10)
7.2 Examples
107(5)
7.3 Exercices
112(1)
8 Combined Stochastic Control and Impulse Control of Jump Diffusions
113(10)
8.1 A verification theorem
113(3)
8.2 Examples
116(4)
8.3 Iterative methods
120(2)
8.4 Exercices
122(1)
9 Viscosity Solutions
123(26)
9.1 Viscosity solutions of variational inequalities
124(3)
9.2 The value function is not always C¹
127(3)
9.3 Viscosity solutions of HJBQVI
130(10)
9.4 Numerical analysis of HJBQVI
140(6)
9.5 Exercises
146(3)
10 Solutions of Selected Exercises 149(48)
10.1 Exercises of Chapter 1
149(4)
10.2 Exercises of Chapter 2
153(9)
10.3 Exercises of Chapter 3
162(7)
10.4 Exercises of Chapter 4
169(2)
10.5 Exercises of Chapter 5
171(3)
10.6 Exercises of Chapter 6
174(11)
10.7 Exercises of Chapter 7
185(3)
10.8 Exercises of Chapter 8
188(3)
10.9 Exercises of Chapter 9
191(6)
References 197(6)
Notation and Symbols 203(4)
Index 207

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