Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance)
Language: English
Published by Springer, 2004
Series: Book 18 of 53 - Springer Finance
- Softcover
- Used
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Condition: Used - Good
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Has some wear and creases. Has a remainder mark. paperback Used - Good 2004.
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- Title
- Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance)
- Author
- Shreve, Steven
- Publisher
- Springer
- Publication year
- 2004
- Condition
- Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0387401008
- ISBN 13
- 9780387401003
- Item weight
- 16.01 ounces
- Series
- Book 18 of 53: Springer Finance
Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes.
This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume.
Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance.
Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful.
Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.
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