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Monte Carlo Methods in Financial Engineering (Hardcover, 2003 ed.) Loot Price: R1,519
Discovery Miles 15 190
You Save: R149 (9%)

Monte Carlo Methods in Financial Engineering (Hardcover, 2003 ed.)

Paul Glasserman

Series: Stochastic Modelling and Applied Probability, 53

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List price R1,668 Loot Price R1,519 Discovery Miles 15 190 | Repayment Terms: R139 pm x 12* You Save R149 (9%)

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Monte Carlo Methods are among the most broadly applicable and thus most powerful tools for valuing derivatives securities and measuring their risks. As computer speeds continue to increase and new research expands the scope and efficiency of these methods, their use is destined to grow. This book is devoted to the use of Monte Carlo methods in finance. Advances in Monte Carlo methods in financial engineering take place at the interface between academic research and industry practice. This book targets that interface developing theory closely tied to applications. It is roughly divided into three parts: the first three chapters concentrate on the basics of Monte Carlo methods; the next three develop ways to improve Monte Carlo methods; and the final four chapters deal with more specialized problems arising, in particular applications of Monte Carlo to financial engineering. This book will serve as a reference for practitioners and researchers and will also be suitable as a graduate text for courses on computational finance.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Stochastic Modelling and Applied Probability, 53
Release date: August 2003
First published: 2003
Authors: Paul Glasserman
Dimensions: 235 x 155 x 36mm (L x W x T)
Format: Hardcover
Pages: 596
Edition: 2003 ed.
ISBN-13: 978-0-387-00451-8
Categories: Books > Business & Economics > Business & management > General
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Finance & accounting > Finance > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Money & Finance > General
LSN: 0-387-00451-3
Barcode: 9780387004518

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