Continuous-time Stochastic Control and Optimization with Financial Applications
Language: English
Published by Springer, Springer Jun 2009, 2009
Series: Book 18 of 30 - Stochastic Modelling and Applied Probability
- Hardcover
- New
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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 256 pp. Englisch.…
Seller Inventory # 9783540894995
- Title
- Continuous-time Stochastic Control and Optimization with Financial Applications
- Author
- Huyên Pham
- Publisher
- Springer, Springer Jun 2009
- Publication year
- 2009
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3540894993
- ISBN 13
- 9783540894995
- Item weight
- 553 grams
- Dimensions
- 241x160x20 mm
- Series
- Book 18 of 30: 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.
"Synopsis" may belong to another edition of this title.
About the Author
1995: PhD in applied mathematics, University Paris Dauphine
1995: Assistant Professor, University Marne-la-Vallée
1999: Professor, University Paris 7
2006: Member Institut Universitaire de France
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
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