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Financial Engineering and Computation: Principles, Mathematics, and Algorithms

Financial Engineering and Computation: Principles, Mathematics, and AlgorithmsAuthor: Yuh-Dauh Lyuu
Publisher: Cambridge University Press
Category: Book

List Price: $101.99
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Seller: AAA-BookDepot
Rating: 4.5 out of 5 stars 2 reviews
Sales Rank: 580953

Media: Hardcover
Edition: 1
Pages: 648
Number Of Items: 1
Shipping Weight (lbs): 2.8
Dimensions (in): 10.1 x 7.1 x 1.5

ISBN: 052178171X
Dewey Decimal Number: 332.60151
EAN: 9780521781718
ASIN: 052178171X

Publication Date: November 12, 2001
Availability: Usually ships in 1-2 business days

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  • Digital - Financial Engineering and Computation: Principles, Mathematics, Algorithms

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Editorial Reviews:

Product Description
Nowadays students and professionals intending to work in any area of finance must master not only advanced concepts and mathematical models but also learn how to implement these models computationally. This comprehensive text combines the theory and mathematics behind financial engineering with an emphasis on computation, in keeping with the way financial engineering is practiced in today's capital markets. Unlike most books on investments, financial engineering, or derivative securities, the book starts from very basic ideas in finance and gradually builds up the theory. It offers a thorough grounding in the subject for MBAs in finance, students of engineering and sciences who are pursuing a career in finance, researchers in computational finance, system analysts, and financial engineers. Along with the theory, the author presents numerous algorithms for pricing, risk management, and portfolio management. The emphasis is on pricing financial and derivative securities: bonds, options, futures, forwards, interest rate derivatives, mortgage-backed securities, bonds with embedded options, and more. Each instrument is treated in a short, self-contained chapter for ready reference use.

Book Description
This comprehensive text combines the theory and mathematics behind financial engineering with an emphasis on computation, in keeping with the way financial engineering is practiced in today's capital markets. It offers a thorough grounding in the subject for MBAs in finance, students of engineering and sciences who are pursuing a career in finance, researchers in computational finance, system analysts, and financial engineers. The author presents numerous algorithms for pricing, risk management, and portfolio management. The emphasis is on pricing financial and derivative securities: bonds, options, futures, forwards, interest rate derivatives, mortgage-backed securities, bonds with embedded options, and more. Each instrument is treated in a short, self-contained chapter for ready reference use. Many of these algorithms are coded in Java as programs for the Web, available from the book's home page.


Customer Reviews:
5 out of 5 stars Most impressive extension of the term   February 16, 2004
Rahman (CA, USA)
20 out of 23 found this review helpful

The term financial engineering is appearing increasingly in the title of various works. What it actually means remains nebulous, for even natural sciences and engineering remain irresolvable at their respective cores. This is evidently addressing another boon of the digital age, where equations and approximations can be done both automatically, and with extreme rapidity. It is only natural for the advantages of this to trickle into research of finance and economics, only now it is becoming a steady stream, and, with the inclusion of this work, a most sound one at that.

It is inferred that the author views this phrase, "financial engineering," as the level of control over precision of computation, and then the resulting accuracy of projected results (with an occasional forecast of unanticipated outcome). His credentials validate this as well.

The tools utilized include the complete discipline of algorithmics, and numerous branches of mathematics, along with tools assisting with and automating graphics and formatting, such as Latex and Mathematica, all channelled into this most profitable and competitive field of finance.

The approach for most sections begins with a brief discussion of motivation, typically condensed to one or a few paragraphs, followed by an equation representing an historical approach to the problem. This is followed by one or more expanded sections building algorithms, expressed in mathematics and pseudocode, as well as plots of typical results. The section then concludes with a broader discussion of how computation and finance become intertwined through this particular application. The author is extremely well versed in both. There are numerous exercises as well.

The book has the look and feel of an adept computer scientist, applying his honed skills to the financial realm. The typesetting is extremely well done, and even for sections initially unfamiliar, the reader feels confident and motivated to become fluent in time. Many of the exercises have solutions provided in an appendix.

At the time of its original publish date the book was unique in the field due to its approach and concise depth of mathematics, all available from a single resource. The author clearly exerted an extraordinary amount of time and energy to producing this work, and each section attests to this meticulous attention detail.

This work is highly-recommended as a reference, for a plethora of well-constructed algorithms in pseudocode are provided; Java examples are also provided via a website. Some considerable level of sophistication in topics typically relegated to computer science and mathematics are required, for which the intrepid reader can find additional resources. When time and motivation are sufficient, there is a wealth of mathematically sound information, providing depth of understanding and a mature foundation to build upon just what financial engineering means.


4 out of 5 stars Integrated treatment   December 1, 2002
Shiva Ganapathy (NEW YORK, NEW YORK United States)
14 out of 18 found this review helpful

The text covers quite a broad range of topics. It assumes that the reader has a fairly good grasp of statistics and mathematics (senior undergraduate level). Introductory financial material reads ok. The algorithmic approach is useful and so are the answers to select problems. However, some could find the material too tightly packed.