Monte Carlo Methods in Financial Engineering

Name: Monte Carlo Methods in Financial Engineering
Brand: Springer-Verlag New York Inc.
SKU: 9781441918222
Price: 69.66 EUR
Availability: InStock

Автор: Paul Glasserman

Език:

Корици: С меки корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад в ограничено количество

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69.66 € 136.24 лв

From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial eng...

Информация за книгата

Автор

Paul Glasserman

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

596

EAN

9781441918222

ISBN

1441918221

Enbook ID

01420747

Издател

Springer-Verlag New York Inc.

Теглоt

952

Размери

157 x 234 x 33

Пълно описание

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 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.

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Monte Carlo Methods in Financial Engineering

Информация за книгата

Пълно описание

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