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  • Mathematical Finance: Theory, Modeling, Implementation
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    From $146.96 (New)

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Buy from Amazon $173.00$97.30 $150.00 $125.00 $75.00 Feb Mar Apr May 2016 $149.96, Jan 9 - Jan 12$110.00, Jan 9 - Apr 14$109.61, Jan 9 2:29 pm$149.96, Jan 9 - Jan 12$110.00, Jan 9 - Apr 14$109.57, Jan 12 2:51 am$149.21, Jan 17 1:54 am$110.00, Jan 9 - Apr 14$109.48, Jan 17 1:54 am$148.46, Jan 22 - Jan 27$110.00, Jan 9 - Apr 14$109.36, Jan 22 2:55 am$148.46, Jan 22 - Jan 27$110.00, Jan 9 - Apr 14$97.71, Jan 27 5:10 am$147.71, Feb 1 - Feb 27$110.00, Jan 9 - Apr 14$97.63, Feb 1 4:18 am$147.71, Feb 1 - Feb 27$110.00, Jan 9 - Apr 14$97.47, Feb 6 7:46 am$147.71, Feb 1 - Feb 27$110.00, Jan 9 - Apr 14$97.38, Feb 11 10:10 am$147.71, Feb 1 - Feb 27$110.00, Jan 9 - Apr 14$97.30, Feb 16 - Feb 27$173.00, Mar 10 7:43 pm$123.06, Mar 10 7:43 pm$110.00, Jan 9 - Apr 14$146.96, Mar 22 - Apr 14$124.69, Mar 22 6:08 pm$110.00, Jan 9 - Apr 14$146.96, Mar 22 - Apr 14$123.95, Apr 3 7:30 am$110.00, Jan 9 - Apr 14$146.96, Mar 22 - Apr 14$122.58, Apr 14 10:47 pm$110.00, Jan 9 - Apr 14 1,367,8182,344,405 2,734,375 2,213,542 1,692,708 1,171,875 Feb Mar Apr May 2016

Price Details

New

Last Seen $146.96 Apr 14, '16
Highest $173.00 Mar 10, '16
Lowest $146.96 Mar 22, '16
Average $146.96 (30d avg)
$151.07 (90d avg)
$150.98 (Lifetime average)
Added Jan 9, 2016

3rd Party New

Last Seen $110.00 Apr 14, '16
Highest $110.00 Jan 9, '16
Lowest $110.00 Jan 9, '16
Average $110.00 (30d avg)
$110.00 (90d avg)
$110.00 (Lifetime average)
Added Jan 9, 2016

3rd Party Used

Last Seen $122.58 Apr 14, '16
Highest $124.69 Mar 22, '16
Lowest $97.30 Feb 16, '16
Average $124.32 (30d avg)
$109.24 (90d avg)
$109.27 (Lifetime average)
Added Jan 9, 2016

Sales Rank

30 day average: 2,041,872
90 day average: 2,076,307

Product Description

A balanced introduction to the theoretical foundations and real-world applications of mathematical finance The ever-growing use of derivative products makes it essential for financial industry practitioners to have a solid understanding of derivative pricing. To cope with the growing complexity, narrowing margins, and shortening life-cycle of the individual derivative product, an efficient, yet modular, implementation of the pricing algorithms is necessary. Mathematical Finance is the first book to harmonize the theory, modeling, and implementation of today's most prevalent pricing models under one convenient cover. Building a bridge from academia to practice, this self-contained text applies theoretical concepts to real-world examples and introduces state-of-the-art, object-oriented programming techniques that equip the reader with the conceptual and illustrative tools needed to understand and develop successful derivative pricing models. Utilizing almost twenty years of academic and industry experience, the author discusses the mathematical concepts that are the foundation of commonly used derivative pricing models, and insightful Motivation and Interpretation sections for each concept are presented to further illustrate the relationship between theory and practice. In-depth coverage of the common characteristics found amongst successful pricing models are provided in addition to key techniques and tips for the construction of these models. The opportunity to interactively explore the book's principal ideas and methodologies is made possible via a related Web site that features interactive Java experiments and exercises. While a high standard of mathematical precision is retained, Mathematical Finance emphasizes practical motivations, interpretations, and results and is an excellent textbook for students in mathematical finance, computational finance, and derivative pricing courses at the upper undergraduate or beginning graduate level. It also serves as a valuable reference for professionals in the banking, insurance, and asset management industries.

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