Description: BRAND NEW!!! BUY NOW!! 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 topics: 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."
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Book Title: Monte Carlo Methods in Financial Engineering (Stochastic
Item Height: 9.21 inches
ISBN-10: 0387004513
Number of Pages: Xiii, 596 Pages
Publication Name: Monte Carlo Methods in Financial Engineering
Language: English
Publisher: Springer New York
Publication Year: 2003
Subject: Investments & Securities / Derivatives, Probability & Statistics / Stochastic Processes, Public Finance, Finance / Financial Engineering, Probability & Statistics / General, Applied
Type: Textbook
Item Weight: 40.9 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Business & Economics
Author: Paul Glasserman
Item Width: 6.1 in
Series: Stochastic Modelling and Applied Probability Ser.
Format: Hardcover
