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The Concepts and Practice of Mathematical Finance
An ideal introduction for those starting out as practitioners of mathematical finance, this book provides a clear understanding of the intuition behind derivatives pricing, how models are implemented, and how they are used and adapted in practice. Strengths and weaknesses of different models, e.g. Black–Scholes, stochastic volatility, jump-diffusion and variance gamma, are examined. Both the theory and the implementation of the industry-standard LIBOR market model are considered in detail. Each pricing problem is approached using multiple techniques including the well-known PDE and martingale approaches. This second edition contains many more worked examples and over 200 exercises with detailed solutions. Extensive appendices provide a guide to jargon, a recap of the elements of probability theory, and a collection of computer projects. The author brings to this book a blend of practical experience and rigorous mathematical background and supplies here the working knowledge needed to become a good quantitative analyst.
558 pages, Hardcover
First published January 26, 2003
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Displaying 1 - 3 of 3 reviews
April 16, 2012
The included computation projects make the text.
October 25, 2014
Thank you adepts of EMH, not clearly understanding it for writing puts at the tops.
February 22, 2016
Joshi is the best so far, when it comes to combining practice and theory!
Displaying 1 - 3 of 3 reviews



