Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer Finance) | List Price: $34.95
Discount Price: $22.97
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Binding: Paperback
Great balance between technical and intuitive [Posted on 2007-12-19]
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. This is a great book for semi-mathematical types who practice in finance, or for mathematicians who are looking to understand the basics of finance. I, being the former, enjoyed having the concepts of stochastic calculus and martingale theory being presented in the absolute simplest of fashions.
fantabulous!!! [Posted on 2008-01-18]
i have read so many books on financial engineering but this one makes all theories so streamlined!!! I read Neftci and I liked it. After reading this, all steps come out clear. The part 2 is fascinating as well. Hail Mugambo!
Great intro for discrete-time models [Posted on 2008-02-05]
I studied this book for the first half of a fourth year financial maths subject at univerisity of melbourne. Binomial models are the only feasible model for pricing american derivatives at the moment, so it is worthwhile to learn the mechanics of such practical models. The author proves all his theorems elegantly using mathematical induction. He even uses proability theory and discrete-time martingale theories to simplify the valuation of European-type derivatives (just take conditional expectations and discount straight back to the current time -- instead of doing those backward averaging and discount node by node; both methods are done under the risk-neutral measure).
Good book [Posted on 2008-02-17]
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.
Best SC book ever [Posted on 2008-04-05]
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. Use coin tossing space consistently as working sample. Very intuitive, never get the idea lost in abstract concepts.
2. Detailed workout of examples. Very good for self study.
3. Plenty of hands-on homeworks. Not necessarily very challenging. But provide good amount of extra examples.
If anything the book can add, I hope it can supply implementations, in Matlab or C++. Well, it may be far stretching for a math book.
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