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Risk-Neutral Valuation: Pricing and Hedging of Financial Derivatives (Springer Finance)
 
 
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Risk-Neutral Valuation: Pricing and Hedging of Financial Derivatives (Springer Finance) [Hardcover]

Nicholas H. Bingham (Author), Rudiger Kiesel (Author)
4.8 out of 5 stars  See all reviews (4 customer reviews)


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Risk-Neutral Valuation: Pricing and Hedging of Financial Derivatives, 2nd Ed. Risk-Neutral Valuation: Pricing and Hedging of Financial Derivatives, 2nd Ed. 4.8 out of 5 stars (4)
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Book Description

1852330015 978-1852330019 October 25, 2001 Corrected



Written by Nick Bingham, Chairman and Professor of Statistics at Birkbeck College, and Rüdiger Kiesel, an "up-and-coming" academic, Risk Neutrality will benefit the Springer Finance Series in many ways. It provides a valuable introduction to Mathematical Finance for Graduate Students, and also comprehensive coverage of Financial subjects which should also stimulate practitioners of the subject. Based on a graduate course given to practitioners of Finance, the book identifies a clear gap in the market of Mathematical Finance. The authors approach is simple and designed to accommodate a wide audience. Springer Finance is a new programme of books aimed at students, academics and practitioners working on increasingly technical approaches to the analysis of financial markets. It aims to cover a


Editorial Reviews

Review

Authors of financial engineering texts face a quandary: how technical to make a book? It is easy to alienate readers by being too technical, but it is just as easy to write a fluff book that communicates nothing of substance. With this book, authors Bingham and Kiesel have got the balance just right... It is mathematically rigorous but with a practical, reader-oriented focus. Results are expressed formally as mathematical theorems, but the authors skip most proofs. The narrative moves along at a nice clip so you never get bogged down in minutia... Who is the book for? Almost anyone who has a strong background in maths and wants a command of financial engineering theory. www.riskbook.com --This text refers to an alternate Hardcover edition.

Product Details

  • Hardcover: 298 pages
  • Publisher: Springer; Corrected edition (October 25, 2001)
  • Language: English
  • ISBN-10: 1852330015
  • ISBN-13: 978-1852330019
  • Product Dimensions: 9.5 x 6.3 x 0.9 inches
  • Shipping Weight: 1.7 pounds
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #4,788,163 in Books (See Top 100 in Books)

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104 of 105 people found the following review helpful:
5.0 out of 5 stars Probabilistic approach to derivatives valuation, April 24, 2000
This review is from: Risk-Neutral Valuation: Pricing and Hedging of Financial Derivatives (Springer Finance) (Hardcover)
The language of financial derivatives is, arguably, the language of the modern theory of martingale stochastic processes. In this approach pricing contingent claims is reduced to finding an "equivalent martingale measure". Practitioners would think in terms of risk adjusted or risk neutral valuation. To understant this topic from an abstract and rigorous point of view is a daunting task restricted to a relatively small elite. For those seeking to learn the mechanics of this discipline a good foundation is well provided by the texts from Hull, Options, Futures and Other Derivatives, as well as Jarrow & Turbull, Derivatives Securities. These books present the intuition behind the formulas and how to use them in practical situations, but they do not show where the formulas come from and much less the mathematics necessary to prove them. Before the book under review was published, this task was attempted by other authors with mixed degrees of success. Here we briefly mention three of them. Baxter and Rennie's Financial Calculus (233 pages) is written in an informal fashion about deep mathematics and one has the feeling that the essence of the topics covered can be grasped and understood from it. However, behind this innocent style there is a huge amount of sophisticated machinery that, in my opinion, should have in part been presented in more detail. An instructor is left with the feeling that it could have been much more profitable to work a bit harder on the students and give them a more complete picture of the theory. Next comes Neftci's Mathematics of Financial Derivatives (352 pages). Its language is more accessible than Baxter and it gives a more detailed and extensive description on most topics. Mathematically, though, it falls short of current usage and rigour. The book by Musiela & Rukowski, Martingale Methods in Financial Modelling (511 pages), is far more difficult than any of these and should be read and understood only by a few. It requires previous knowledge of stochastic processes at the level of, for example, Probability with Martingales by D. Williams. The book under review is an excellent text for courses and for individual readers with a modest background in probability. There is no compromise with mathematical language and concepts. They are presented precisely and illustrated by examples without the burden of more technical theorem-proving approach in advanced mathematical texts. After introducing the idea of derivatives and risk-neutral valuation, it gives a summary of modern probability theory including measure, integral, conditional expectation, modes of convergence, characteristic functions and the Central Limit Theorem. This sets the framework for the rest of the book. Stochastic processes and finance in discrete time are not pre-requites for the much more complicated continuous time but serve as a pedagogical preparation for it. The Third and Fourth Chapters are dedicated to the discrete case and key concepts are carefully analysed. Information and filtrations are discussed as well as the important random walk processes as a motivation for the Brownian Motion. The culmination of these efforts is the proof of the Fundamental Theorem of Asset Pricing: in an arbitrage-free complete market there exists a unique equivalent martingale measure. A very readable discussion on binomial trees is given, including the proof that in the limit of small time increments one recovers from it the usual Black-Scholes formula for a call option. Chapters Five and Six are dedicated to stochastic processes and finance in continuous time. This includes filtrations, a sketch for the construction of Brownian Motion, quadratic variation of Brownian Motion, stochastic integrals and Ito calculus, stochastic differential equations, etc. A continuous version of the Fundamental Theorem is discussed but not proven. The main formula for risk-neutral valuation in terms of expected values is proven. A general result about the relationship with other approaches is that solutions to partial differential equations have a stochastic representation in terms of expected values (Feynman-Kac Formula). On p. 211 a discussion is presented regarding our knowledge concerning continuous time securities market in comparison to the discrete case.

If you are really interested in understanding the probabilistic foundations of modern financial derivatives theory, please consider seriously this book. Another reference, in the same spirit that I recommend is the excellent notes from Shreve, Stochastic Calculus and Finance, which is not yet in book form. After reading the text by Bingham and Kiesel you will gain a solid background well worth the effort and will be able to read profitably most of the contemporary texts and articles on this subject.

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10 of 11 people found the following review helpful:
5.0 out of 5 stars Excellent and brief compendium of financial theory, October 17, 2000
By 
Ned Ilincic (New York, NY, USA) - See all my reviews
(REAL NAME)   
This review is from: Risk-Neutral Valuation: Pricing and Hedging of Financial Derivatives (Springer Finance) (Hardcover)
This book covers quite a few fields (axiomatic probability, stochastic processes, financial theory) to the extent that they relate to valuation of securities. Naturally, the scope of coverage in such a brief tome (< 300 p.) is limited. It is written clearly and with precision, with sufficient number of exercises provided at chapters' ends. I would say that it goes to greater depth than Neftci, and is far more rigorous than Wilmott. Incomparably easier to understand than Merton. The only shorcomings I can find are relative paucity of examples and inadequate Index.
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5 of 5 people found the following review helpful:
4.0 out of 5 stars Good mix, December 2, 2001
By A Customer
This review is from: Risk-Neutral Valuation: Pricing and Hedging of Financial Derivatives (Springer Finance) (Hardcover)
I have read this book... from a learning perspective of trying to learn what the theory behind options pricing is it is a great book. A lot of more recent topics are missing, but as a starter book for those who already price options/work in the industry without having learned all the theory (or in my case forgotten what they learned in school) it is a great read and a great reference.
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First Sentence:
This book is on the risk-neutral (probabilistic) pricing of derivative securities. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
arbitrage price process, minimal martingale measure, arbitrage pricing technique, equivalent martingale measure, financial market model, defaultable claim, unique martingale measure, attainable contingent claim, expectation operator with respect, market approximation, bond price processes, affine term structure, martingale measures, separating hyperplane theorem, stochastic exponential, martingale transform, stock price process, lookback options, martingale part, finite variation, replicating strategy, local martingale, mathematical finance, barrier options, filtered probability space
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Collateralized Debt Obligations, Further Contingent Claim Valuation, Classes of Processes, Models Driven, Multifactor Models, Using Remark
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