Continuous-time Stochastic Control and Optimization with Financial Applications
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 to know more about the use of stochastic optimization methods in finance.
242 pages; ISBN 9783540895008
, or download in
Title: Continuous-time Stochastic Control and Optimization with Financial Applications
Author: Huyên Pham
New Digital Storytelling, The: Creating Narratives with New Media 2011 US$ 49.00 296 pages
The E-Myth Revisited 2009 US$ 10.99 288 pages