Applied stochastic control of jump diffusions /

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Bibliographic Details
Author / Creator:Øksendal, B. K. (Bernt Karsten), 1945- author.
Edition:Third edition.
Imprint:Cham, Switzerland : Springer, 2019.
Description:1 online resource (xvi, 436 pages) : illustrations (some color)
Language:English
Series:Universitext, 0172-5939
Universitext,
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11873831
Hidden Bibliographic Details
Other authors / contributors:Sulem, Agnès, author.
ISBN:9783030027810
3030027813
9783030027797
3030027791
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed May 2, 2019).
Summary:Here is a rigorous introduction to solution methods of stochastic control problems for jump diffusions. The 2nd edition adds a chapter on optimal control of stochastic partial differential equations driven by Lévy processes, and a section on optimal stopping with delayed information.
Other form:Print version: Øksendal, B.K. (Bernt Karsten), 1945- Applied stochastic control of jump diffusions. Third edition. Cham, Switzerland : Springer, 2019 3030027791 9783030027797
Standard no.:10.1007/978-3-030-02781-0

MARC

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245 1 0 |a Applied stochastic control of jump diffusions /  |c Bernt Øksendal, Agnès Sulem. 
250 |a Third edition. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2019. 
300 |a 1 online resource (xvi, 436 pages) :  |b illustrations (some color) 
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490 1 |a Universitext,  |x 0172-5939 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed May 2, 2019). 
505 0 |a Intro; Preface to the Third Edition; Preface to the Second Edition; Preface to the First Edition; Contents; 1 Stochastic Calculus with Lévy Processes; 1.1 Basic Definitions and Results on Lévy Processes; 1.2 The Itô Formula and Related Results; 1.3 Lévy Stochastic Differential Equations; 1.4 The Girsanov Theorem and Applications; 1.5 Exercises; 2 Financial Markets Modeled by Jump Diffusions; 2.1 Market Definitions and Arbitrage; 2.2 Hedging and Completeness; 2.3 Option Pricing; 2.3.1 European Options; 2.3.2 American Options; 2.4 Exercises; 3 Optimal Stopping of Jump Diffusions 
505 8 |a 3.1 A General Formulation and a Verification Theorem3.2 Applications and Examples; 3.3 Optimal Stopping with Delayed Information; 3.4 Exercises; 4 Backward Stochastic Differential Equations and Risk Measures; 4.1 Examples; 4.2 General BSDEs with Jumps; 4.3 Linear BSDEs; 4.4 Comparison Theorems; 4.5 Convex Risk Measures and BSDEs; 4.5.1 Dynamic Risk Measures; 4.5.2 A Dual Representation of Convex Risk Measures; 4.6 Exercises; 5 Stochastic Control of Jump Diffusions; 5.1 The Dynamic Programming Approach; 5.2 Stochastic Maximum Principles for Partial Information Control 
505 8 |a 5.2.1 A Sufficient Maximum Principle5.2.2 A Necessary Maximum Principle; 5.2.3 The Relation Between the Maximum Principle and Dynamic Programming; 5.2.4 Utility Maximization; 5.2.5 Mean-Variance Portfolio Selection; 5.3 The Maximum Principle with Infinite Horizon; 5.3.1 A Sufficient Maximum Principle; 5.3.2 A Necessary Maximum Principle; 5.4 Optimal Control of FBSDEs by Means of Stochastic HJB Equations; 5.4.1 Optimal Control of FBSDEs; 5.4.2 Applications in Mathematical Finance; 5.5 Optimal Control of Stochastic Delay Equations; 5.5.1 A Sufficient Maximum Principle 
505 8 |a 5.5.2 A Necessary Maximum Principle5.5.3 Time-Advanced BSDEs with Jumps; 5.5.4 Example: Optimal Consumption from a Cash Flow with Delay; 5.6 Exercises; 6 Stochastic Differential Games; 6.1 Stochastic Differential (Markov) Games, HJB-Isaacs Equations; 6.1.1 Entropic Risk Minimization Example; 6.2 Stochastic Maximum Principles; 6.2.1 General (Non-zero) Stochastic Differential Games; 6.2.2 The Zero-Sum Game Case; 6.2.3 Proofs of the Stochastic Maximum Principles; 6.2.4 Risk Minimization by FBSDE Games; 6.3 Mean-Field Games; 6.3.1 Two Motivating Examples 
505 8 |a 6.3.2 General Mean-Field Non-zero Sum Games6.3.3 A Sufficient Maximum Principle; 6.3.4 A Necessary Maximum Principle; 6.3.5 Application to Model Uncertainty Control; 6.3.6 The Zero-Sum Game Case; 6.3.7 The Single Player Case; 6.4 Exercises; 7 Combined Optimal Stopping and Stochastic Control of Jump Diffusions; 7.1 Introduction; 7.2 A General Mathematical Formulation; 7.3 Applications; 7.4 Exercises; 8 Singular Control for Jump Diffusions; 8.1 An Illustrating Example; 8.2 A General Formulation; 8.3 Application to Portfolio Optimization with Transaction Costs; 8.4 Exercises 
520 |a Here is a rigorous introduction to solution methods of stochastic control problems for jump diffusions. The 2nd edition adds a chapter on optimal control of stochastic partial differential equations driven by Lévy processes, and a section on optimal stopping with delayed information. 
650 0 |a Stochastic control theory.  |0 http://id.loc.gov/authorities/subjects/sh92001443 
650 0 |a Stochastic processes.  |0 http://id.loc.gov/authorities/subjects/sh85128181 
650 0 |a Viscosity solutions.  |0 http://id.loc.gov/authorities/subjects/sh92004493 
650 7 |a Stochastic control theory.  |2 fast  |0 (OCoLC)fst01133503 
650 7 |a Stochastic processes.  |2 fast  |0 (OCoLC)fst01133519 
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700 1 |a Sulem, Agnès,  |e author.  |0 http://id.loc.gov/authorities/names/n2001009251 
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