Stochastic Simulation and Applications in Finance with Matlab Programs
Language: English
Published by John Wiley & Sons Inc, 2008
- First Edition
- Hardcover
- New

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Stochastic Simulation and Applications in Finance with Matlab Programs begins by covering the basics of probability and statistics, which are essential to the understanding the later chapters on random processes and computational simulation techniques, it then goes on to discuss Monte Carlo simulations. Series: Wiley Finance Series. Num Pages: 356 pages, Illustrations. BIC Classification: KFF. Category: (P) Professional & Vocational. Dimension: 255 x 175 x 24. Weight in Grams: 792. . 2008. 1st Edition. Hardcover. . . . .
Seller Inventory # V9780470725382
- Title
- Stochastic Simulation and Applications in Finance with Matlab Programs
- Author
- Huu Tue Huynh
- Publisher
- John Wiley & Sons Inc
- Publication year
- 2008
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0470725389
- ISBN 13
- 9780470725382
- Edition
- 1st Edition
The book takes readers through the basic concepts, covering the most recent research and problems in the area, including: the quadratic re-sampling technique, the Least Squared Method, the dynamic programming and Stratified State Aggregation technique to price American options, the extreme value simulation technique to price exotic options and the retrieval of volatility method to estimate Greeks. The authors also present modern term structure of interest rate models and pricing swaptions with the BGM market model, and give a full explanation of corporate securities valuation and credit risk based on the structural approach of Merton. Case studies on financial guarantees illustrate how to implement the simulation techniques in pricing and hedging.
NOTE TO READER: The CD has been converted to URL. Go to the following website www.wiley.com/go/huyhnstochastic which provides MATLAB programs for the practical examples and case studies, which will give the reader confidence in using and adapting specific ways to solve problems involving stochastic processes in finance.
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About the Author
VAN SON LAI is Professor of Finance at the Business School of Laval University, Canada. He obtained his Ph.D. in Finance from the University of Georgia, USA and a master degree in water resources engineering from the University of British Columbia, Canada. He is also a CFA charterholder from the CFA Institute and a registered P.Eng. in the Province of British Columbia. An established teacher and researcher in banking, financial engineering, and risk management, he has extensively published in mainstream banking, economics, and finance journals.
ISSOUF SOUMARÉ is currently associate professor of finance and managing director of the Laboratory for Financial Engineering at Laval University. His research and teaching interests included risk management, financial engineering and numerical methods in finance. He has published his theoretical and applied finance works in economics and finance journals. Dr Soumaré holds a PhD in Finance from the University of British Columbia, Canada, MSc in Financial Engineering from Laval University, Canada, MSc in Statistics and Quantitative Economics and MSc and BSc in Applied Mathematics from Ivory Coast. He is also a certified Professional Risk Manager (PRM) of the Professional Risk Managers’ International Association (PRMIA).
"About the title" may belong to another edition of this title.
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