Applied Stochastic Control of Jump Diffusions
The main purpose of the book is to give a rigorous introduction to the most important and useful solution methods of various types of shastic control problems for jump diffusions and their applications. Both the dynamic programming method and the shastic 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. 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 shastic analysis, measure theory and partial differential equations.

The 3rd edition is an expanded and updated version of the 2nd edition, containing recent developments within shastic control and its applications. Specifically, there is a new chapter devoted to a comprehensive presentation of financial markets modelled by jump diffusions, and one on backward shastic differential equations and convex risk measures. Moreover, the authors have expanded the optimal stopping and the shastic control chapters to include optimal control of mean-field systems and shastic differential games.

1134488894
Applied Stochastic Control of Jump Diffusions
The main purpose of the book is to give a rigorous introduction to the most important and useful solution methods of various types of shastic control problems for jump diffusions and their applications. Both the dynamic programming method and the shastic 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. 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 shastic analysis, measure theory and partial differential equations.

The 3rd edition is an expanded and updated version of the 2nd edition, containing recent developments within shastic control and its applications. Specifically, there is a new chapter devoted to a comprehensive presentation of financial markets modelled by jump diffusions, and one on backward shastic differential equations and convex risk measures. Moreover, the authors have expanded the optimal stopping and the shastic control chapters to include optimal control of mean-field systems and shastic differential games.

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Applied Stochastic Control of Jump Diffusions

Applied Stochastic Control of Jump Diffusions

by Bernt ïksendal, Agnïs Sulem
Applied Stochastic Control of Jump Diffusions

Applied Stochastic Control of Jump Diffusions

by Bernt ïksendal, Agnïs Sulem

Paperback(Third Edition 2019)

$69.99 
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Overview

The main purpose of the book is to give a rigorous introduction to the most important and useful solution methods of various types of shastic control problems for jump diffusions and their applications. Both the dynamic programming method and the shastic 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. 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 shastic analysis, measure theory and partial differential equations.

The 3rd edition is an expanded and updated version of the 2nd edition, containing recent developments within shastic control and its applications. Specifically, there is a new chapter devoted to a comprehensive presentation of financial markets modelled by jump diffusions, and one on backward shastic differential equations and convex risk measures. Moreover, the authors have expanded the optimal stopping and the shastic control chapters to include optimal control of mean-field systems and shastic differential games.


Product Details

ISBN-13: 9783030027797
Publisher: Springer International Publishing
Publication date: 04/18/2019
Series: Universitext
Edition description: Third Edition 2019
Pages: 436
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Agnès Sulem is a researcher at INRIA, Paris. She leads the MATHRISK research group and the Premia consortium for quantitative finance. She teaches in the doctoral programs at University Paris-Dauphine and Luxemburg University. Her fields of research are shastic control, numerical and shastic analysis, and mathematical finance. She is the author of 2 books and about 100 research articles. Besides mathematics, Agnès Sulem enjoys playing the violin.

Bernt Øksendal is professor emeritus at the University of Oslo (UiO) and associate professor and Honorary Doctor at the Norwegian School of Economics (NHH). He was awarded the Nansen Prize in 1996 and the UiO Research Prize in 2014. His interests are in shastic analysis, shastic control and applications, especially in biology and finance. He has over 200 publications, including 10 books. His other interests and pleasures include jogging, music, science and nature.

Table of Contents

Preface.- Shastic Calculus with Lévy Processes.- Financial Markets Modelled by Jump Diffusions.- Optimal Stopping of Jump Diffusions.- Backward Shastic Differential Equations and Risk Measures.- Shastic Control of Jump Diffusions.- Shastic Differential Games.- Combined Optimal Stopping and Shastic Control of Jump Diffusions.- Viscosity Solutions.- Solutions of Selected Exercises.- References.- Notation and Symbols.

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