Monte Carlo Methods in Financial Engineering (Stochastic Modelling and...
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 AnalysisMonte Carlo Methods are among the most broadly applicable and thus most powerful tools for valuing derivative 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.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 a 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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Stochastic Modelling and Applied Probability
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Number of Volumes
Scholarly & Professional
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Table Of Content
Foundations.- Generating Random Numbers and Random Variables.- Generating Sample Paths.- Variance Reduction Techniques.- Quasi-Monte Carlo Methods.- Discretization Methods.- Estimating Sensitivities.- Pricing American Options.- Applications in Risk Management.- Appendices
"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 âŠ 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 âŠ 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: "... 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." From the reviews: "This recent book is a valuable addition to the references devoted to Monte Carlo methods. âŠ the author succeeded in choosing the most actual topics in financial engineering and in presenting them in an appropriate way by keeping a suitable balance between mathematical rigour and an audience friendly language. âŠ To help the reader, three appendices provide basic results on convergence concepts âŠ . A large bibliography of 358 entries accompanies this text. In short, the reader will find this book extremely lucid and useful." (Radu Theodorescu, Zentralblatt MATH, Vol. 1038 (13), 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. âŠ one gets 596 pages full of valuable information on all aspects of Monte Carlo simulation. âŠ Altogether, I can encourage everyone interested in Monte Carlo methods in finance to read the book. It is very well written âŠ 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) "Glasserman's new book is a remarkable presentation of the current state of the art of Monte Carlo Methods in Financial Engineering. âŠ lot of material which is sometimes hard to access has been composed into one volume. âŠ a high quality monograph which is both suitable as a reference for practitioners and researchers as well as a textbook âŠ . The list of references is by itself a valuable aspect. The refreshing writing style of the author is tailor-made for the thirsty reader âŠ ." (Uwe Wystup, www.mathfinance.de, November, 2003) "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. It is an advanced book. âŠ The presentation is masterful. âŠ You will learn plenty of financial engineering amidst the pages. The writing is a pleasure to read. Topics are timely and relevant. Glasserman's is a must-have book for financial engineers." (www.riskbook.com, Dezember, 2003) "This book is divided into three parts. âŠ the aim of the author is âŠ to give a precise description of the different techniques in order to facilitate their implementation. In my opinion, this book is a very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context." (Benjamin Jourdain, Mathematical Reviews, 2004g) "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