
Monte Carlo Methods in Finance
Peter Jäckel(Author)
Wiley (Publisher)
Published on 26. February 2002
Book
Hardback
XVI, 222 pages
978-0-471-49741-7 (ISBN)
Description
An invaluable resource for quantitative analysts who need to run models that assist in option pricing and risk management. This concise, practical hands on guide to Monte Carlo simulation introduces standard and advanced methods to the increasing complexity of derivatives portfolios. Ranging from pricing more complex derivatives, such as American and Asian options, to measuring Value at Risk, or modelling complex market dynamics, simulation is the only method general enough to capture the complexity and Monte Carlo simulation is the best pricing and risk management method available.
The book is packed with numerous examples using real world data and is supplied with a CD to aid in the use of the examples.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
New York
United States
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 256 mm
Width: 174 mm
Thickness: 20 mm
Weight
590 gr
ISBN-13
978-0-471-49741-7 (9780471497417)
Schweitzer Classification
Person
Peter Jäckel currently works at Commerzbank Securities in London as a quant in the front office product development and derivatives modelling group. Prior to that he worked within the NatWest Group/Royal Bank of Scotland Quantitative Research Centre. He started his career in finance with his employment at Nikko Securities' London operation.
Content
Preface
Acknowledgements
Mathematical Notation
Introduction
The Mathematics Behind Monte Carlo Methods
Stochastic Dynamics
Process-driven Sampling
Correlation and Co-movement
Salvaging a Linear Correlation Matrix
Pseudo-random Numbers
Low-discrepancy Numbers
Non-uniform Variates
Variance Reduction Techniques
Greeks
Monte Carlo in the BGM/J Framework
Non-recombining Trees
Miscellanea
Bibliography
Index