Continuous-time Stochastic Control and Optimization with Financial Applications (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
232
Utgivningsdatum
2009-06-18
Upplaga
2009 ed.
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Illustrationer
XVII, 232 p.
Dimensioner
239 x 160 x 18 mm
Vikt
499 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9783540894995

Continuous-time Stochastic Control and Optimization with Financial Applications

av Huyn Pham
Inbunden,  Engelska, 2009-06-18
1008
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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.
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Övrig information

1995: PhD in applied mathematics, University Paris Dauphine 1995: Assistant Professor, University Marne-la-Valle 1999: Professor, University Paris 7 2006: Member Institut Universitaire de France

Innehållsförteckning

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.

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