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Mathematical Finance: Theory, Modeling, Implementation [Anglais] [Relié]

Christian Fries

Prix : EUR 115,07 LIVRAISON GRATUITE En savoir plus.
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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 valuabl

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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Amazon.com: 3.8 étoiles sur 5  6 commentaires
9 internautes sur 11 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 An excellent quant book 6 février 2008
Par The Wizard - Publié sur Amazon.com
Format:Relié
The book starts with discussing basic mathematical finance such as Ito's lemma and Black-Scholes theory. This is a rather compact summary without proofs and I therefore believe a novice reader first should read an introductory book such as the one by Baxter & Rennie. The main part of the books is then devoted to various issues that one encounters in the implementation of financial models. I found this part very useful and I guess most quants have encountered the interesting problems that the author discusses such as: calculation of greeks in Monte-Carlo implementations, backward pricing of path-dependent products, implementation of Markov models, etc.
7 internautes sur 9 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 This book is unbelievable precious 5 juin 2008
Par Igor Cakulev - Publié sur Amazon.com
Format:Relié
The book has so many nuggets of wisdom is hard to mention them all. I know I struggled with some concepts before and somehow they were explained in a remarkable way. So now I am just asking myself, was I so stupid before?

Perfect for practitioners, but not in the sense of generic cookbook like the Hull's book where the math is dangerously simplified.
The theory is explained with flawless clarity. Numerous tricks are given for free. For example, I always looked at interpolation as something trivial, however Fries explains arbitrage violations using different interpolation, i.e. negative probability density for smoothing interpolations, discrete for linear. This book is especially useful for somebody that is interested in Libor Market Model. There is also extension of it like the cross-currency version of it; I haven't seen it anywhere else (at least not in books).
From the negative side, I only wished more code posted, but that is just me being greedy. Given the amount spent on implementation issues, I would also like to see little bit more on calibration.
6 internautes sur 8 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 strong buy 25 avril 2008
Par Dr. Joerg Wackertapp - Publié sur Amazon.com
Format:Relié
There are a couple of good mathematical finance books and this is for sure one of them. The important thing is that this book doesn't just repeat what you can find in other books, but very often gives you a different view on problems. A lot intuition and explanation of concepts is provided in a clever, unique and new way (even if you've read and thought already a lot about it). That implementation issues are discussed in this book makes it clear that this book is perfect for practitioners and I could make a lot use of it even though I'm not new to the field (I work as a quant for 10y now).
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