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...

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Bibliographic Details
Main Author: Pham, Huyn̊. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series:Stochastic Modelling and Applied Probability, 61
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-89500-8
Table of Contents:
  • Preface
  • 1.Some elements of stochastic analysis
  • 2.Stochastic optimization problems. Examples in finance
  • 3.The classical PDE approach to dynamic programming
  • 4.The viscosity solutions approach to stochastic control problems
  • 5.Optimal switching and free boundary problems
  • 6.Backward stochastic differential equations and optimal control
  • 7.Martingale and convex duality methods
  • Appendices: A.Complements of integration
  • B.Convex analysis considerations
  • References
  • Index.