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Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance) (v. 1)
 
 
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Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance) (v. 1) (Paperback)

by Steven E. Shreve (Author) "The binomial asset-pricing model provides a powerful tool to understand arbitrage pricing theory and probability..." (more)
Key Phrases: first time the stock price, first coin toss results, iterated conditioning, Exercises Exercise, Optional Sampling Theorem (more...)
4.4 out of 5 stars See all reviews (16 customer reviews)

List Price: $34.95
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Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance) (v. 1) + Stochastic Calculus for Finance II: Continuous-Time Models (Springer Finance) (v. 2) + Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (v. 53)
Price For All Three: $154.87

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Editorial Reviews

Review
From the reviews of the first edition: Steven Shreve’s comprehensive two-volume Stochastic Calculus for Finance may well be the last word, at least for a while, in the flood of Master’s level books.... a detailed and authoritative reference for "quants” (formerly known as "rocket scientists”). The books are derived from lecture notes that have been available on the Web for years and that have developed a huge cult following among students, instructors, and practitioners. The key ideaspresented in these works involve the mathematical theory of securities pricing based upon the ideas of classical finance. ...the beauty of mathematics is partly in the fact that it is self-contained and allows us to explore the logical implications of our hypotheses. The material of this volume of Shreves’s text is a wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions. In summary, this is a well-written text that treats the key classical models of finance through an applied probability approach. It is accessible to a broad audience and has been developed after years of teaching the subject. It should serve as an excellent introduction for anyone studyin the mathematics of the classical theory of finance. -- SIAM, 2005 "This is the first of the two-volume series evolving from the author’s mathematics courses in M.Sc. Computational Finance program at Carnegie Mellon University (USA). The content of this book is organized such as to give the reader precise statements of results, plausibility arguments, mathematical proofs and, more importantly, the intuitive explanations of the financial and economic phenomena. Each chapter concludes with summary of the discussed matter, bibliographic notes, and a set of really useful exercises." (Neculai Curteanu, Zentralblatt MATH, Vol. 1068, 2005) --This text refers to an out of print or unavailable edition of this title.

Product Description
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.

Product Details

  • Paperback: 187 pages
  • Publisher: Springer; 1 edition (February 22, 2009)
  • Language: English
  • ISBN-10: 0387249680
  • ISBN-13: 978-0387249681
  • Product Dimensions: 9.1 x 5.9 x 0.6 inches
  • Shipping Weight: 10.4 ounces (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars See all reviews (16 customer reviews)
  • Amazon.com Sales Rank: #63,317 in Books (See Bestsellers in Books)

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Customer Reviews

16 Reviews
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 (10)
4 star:
 (4)
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Average Customer Review
4.4 out of 5 stars (16 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
20 of 22 people found the following review helpful:
5.0 out of 5 stars One of the best!, December 3, 2004
It would be hard to overstate my enthusiasm for this text and its companion volume. In field that is too frequently represented by poorly thought out drafts rushed to market or by advanced mathematical treatments that are not easily understood by individuals more focused on practice, Shreve's texts stand out by being both rigorous and accessible with well thought out examples and exercises.

This particular volume, covering binomial models, covers advanced concepts in a discrete setting. For some it will represent a waste of time and those individuals are best advised to skip to Volume II. However, many intelligent students who are not so comfortable with abstract mathematics will find this a simple and concrete exposition that can serve as a bridge to more advanced theory.
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11 of 11 people found the following review helpful:
5.0 out of 5 stars A gentle introduction, November 25, 2005
I am always a fan of books that can simplify advanced concepts instead of drowning the reader in rigour. Shreve's introduction to probablistic asset pricing is gentle, covering basic stochastic processes, the concepts behind derivative pricing and hedging, as well as setting up the reader for subsequent readings. It's one of those books that you come back to when you are stuck with a problem from a conceptual point of view because things are explained in the book at an intuitive level.
All in all, a good foundation book or reference for starting quants.
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7 of 7 people found the following review helpful:
5.0 out of 5 stars Great for beginers in stochatic claculus with a simple apication to finance, August 2, 2005
This book is great to start understanding stochastic calculus with immediate application to pricing derivatives. To make everything simpler, all is explained on a discrete basis. This helps a lot to understand the subject and prepares the reader for the second course in which everything is converted into continues basis.

It also helps very much to understand how to price a derivative through portfolio that replicates it (Non-arbitrage principle).
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Most Recent Customer Reviews

5.0 out of 5 stars Excellent introduction to option privcing
Shreve's book is an excellent introduction to basic options pricing. He not only deals with plain vanilla options, but also shows how the binomial model can be used to to value... Read more
Published 9 days ago by J. Christensen

5.0 out of 5 stars Best SC book ever
I have the 1st version (pdf), so I hesitated before I make the purchase. Now it turns out that the book is worthy every buck.

1. Read more
Published 15 months ago by Lost in Life

3.0 out of 5 stars Good book
excellent book for anybody who is a student of financial calculus . One can get some insight into how financial managers plan portfolios and how they make investment decisions.
Published 17 months ago by Ken

4.0 out of 5 stars Great intro for discrete-time models
I studied this book for the first half of a fourth year financial maths subject at univerisity of melbourne. Read more
Published 17 months ago by C. Yang

5.0 out of 5 stars fantabulous!!!
i have read so many books on financial engineering but this one makes all theories so streamlined!!! I read Neftci and I liked it. Read more
Published 18 months ago by Karun Gahlawat

5.0 out of 5 stars Great balance between technical and intuitive
This book seemed to strike the perfect balance between going through the necessary math and getting the points across without pushing the non-PhD reader overboard. Read more
Published 19 months ago by Brian Hirschfield

4.0 out of 5 stars Good book
I agree that most concepts are clearly explained....emphasis on *most*. OK, I'll nitpick. And I admit I'm nitpicking. Read more
Published 21 months ago by J. Leichter

4.0 out of 5 stars Nice book
I think its a very good book for fundamental concepts in stocastic calculus.
Published on March 8, 2007 by A. Pawar

5.0 out of 5 stars Good for finanical mathematics graduates
clear explanations on binomial models for European and American options. Abstract concepts also included such as change of measures, martingales, stopping times. Read more
Published on January 9, 2007 by Ching Wah Ho

5.0 out of 5 stars Very good to understand the basics of pricing-theory.
This book is great book about theory. Using a simple binomial tree as asset evolution model, all key notions are introduced. Read more
Published on March 3, 2006 by Miguel Garcia

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