Monte Carlo Methods in Financial Engineering

by Paul Glasserman

Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some older techniques.
This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios.
The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential.
The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry.
Mathematical Reviews, 2004: "... this book is very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context."

Genres: Finance, Mathematics, Reference, Business, Textbooks

609 pages, Hardcover

First published January 1, 2003

Reviews

[Pelle · Rating 5 out of 5]

In this book you find anything you need for Monte Carlo (and Quasi Monte Carlo) methods. As the title says, the applications given are all from finance, but nevertheless it is an excellent book to give you an understanding of the different methods especially for variance reduction.

[Boris Skorodumov · Rating 5 out of 5]

Very good book, I had a chance to take this class many years ago and thus the book was easy to read.
Would recommend it to anyone who are interested in MC methods applied in quant finance world.

[Dmitri · Rating 5 out of 5]

First of all, given the price this sells at Amazon UK, you'd be silly not to get it, or to get an alternative. It's practically given out for free and, as a result, I urge you to get it, especially considering how complete and understandable this book is. This 600-page hardback covers MC like no other book I know, does it clearly and in the right progression. If financial MC is your thing, what more could you want?