Handbook in Monte Carlo simulation : applications in financial engineering, risk management, and economics /

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Bibliographic Details
Author / Creator:Brandimarte, Paolo, author.
Imprint:Hoboken, New Jersey : Wiley, [2014]
Description:1 online resource.
Language:English
Series:Wiley handbooks in financial engineering and econometrics
Wiley handbooks in financial engineering and econometrics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/10078443
Hidden Bibliographic Details
ISBN:9781118593264 (electronic bk.)
9781118593646 (electronic bk.)
1118593642 (electronic bk.)
9780470531112 (cloth)
Notes:Includes bibliographical references and index.
Description based on online resource; title from digital title page (viewed on July 3, 2014)
Other form:Print version: Brandimarte, Paolo. Handbook in Monte Carlo simulation Hoboken, New Jersey : Wiley, [2014] 9780470531112
Description
Summary:

An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics

Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization.

The Handbook in Monte Carlo Simulation features:

An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation

The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.

Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781118593264
9781118593646
1118593642
9780470531112