Monte Carlo Methods In Financial Engineering (Stochastic Modelling And Applied Probability) (v. 53)

Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (v. 53)

From the reviews: “Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers […] So often, financial engineering texts are very theoretical. This book is not.” –Glyn Holton, Contingency Analysis

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Table of Contents

Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (v. 53)

Author: Paul Glasserman

Pages: 596

Genre(s): Derivative securities

Publisher: Springer

Subject:

Country:

Publication Year: 2003

Edition

Finished? Yes, on

Signed? Yes

Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (v. 53)

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