Pham Continuous-time Stochastic Control and Optimization with Financial Applications

1. Auflage 2009
ISBN: 978-3-540-89500-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 61, 232 Seiten, eBook

Reihe: Stochastic Modelling and Applied Probability

Stochastic optimization problems arise in decision-making problems under uncertainty, and find various applications in economics and finance. On the other hand, problems in finance have recently led to new developments in the theory of stochastic control.This volume provides a systematic treatment of stochastic optimization problems applied to finance by presenting the different existing methods: dynamic programming, viscosity solutions, backward stochastic differential equations, and martingale duality methods. The theory is discussed in the context of recent developments in this field, with complete and detailed proofs, and is illustrated by means of concrete examples from the world of finance: portfolio allocation, option hedging, real options, optimal investment, etc.This book is directed towards graduate students and researchers in mathematical finance, and will also benefit applied mathematicians interested in financial applications and practitioners wishing toknow more about the use of stochastic optimization methods in finance.

Zielgruppe

Research

Autoren/Hrsg.

Pham, Huyên

Inhaltsverzeichnis

Some elements of stochastic analysis.- Stochastic optimization problems. Examples in finance.- The classical PDE approach to dynamic programming.- The viscosity solutions approach to stochastic control problems.- Optimal switching and free boundary problems.- Backward stochastic differential equations and optimal control.- Martingale and convex duality methods.

Über Autor(innen)

1995: PhD in applied mathematics, University Paris Dauphine 1995: Assistant Professor, University Marne-la-Vallée1999: Professor, University Paris 72006: Member Institut Universitaire de France