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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"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 ... You will want to have prior knowledge of both the Monte Carlo method and financial engineering. If you do, you will find the book to be a goldmine ... So often, financial engineering texts are very theoretical. This book is not. The Monte Carlo method serves as a unifying theme that motivates practical discussions of how to implement real models on real trading floors. You will learn plenty of financial engineering amidst these pages. The writing is a pleasure to read. Topics are timely and relevant. Glasserman's is a must-have book for financial engineers." --Glyn Holton, Contingency AnalysisMathematical Reviews, 2004
"To keep it short, let me summarize the recension in one phrase: Paul Glausserman s book is a strong buy for everybody in the financial community. ... one gets 596 pages full of valuable information on all aspects of Monte Carlo simulation. ... Altogether, I can encourage everyone interested in Monte Carlo methods in finance to read the book. It is very well written ... comes with a carefully selected bibliography (358 references) and a helpful index, thus making it really worth the buy." --Ralf Werner, OR Spectrum Operations Research Spectrum, Issue 27, 2005
"The publication of this book is an important event in computational finance. For many years, Monte Carlo methods have been successfully applied to solve diverse problems in financial mathematics. By publishing this book the author deserves much credit for a very good attempt to lift such applications to a new level. ... the book may well become a major reference in the field of applications of Monte Carlo methods in financial engineering. This is because the book is well structured and well written ... ." --A Zhigljavsky, Journal of the Operational Research Society, Vol. 57, 2006
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