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Financial Modeling Under Non-Gaussian Distributions

Financial Modeling Under Non-Gaussian Distributions

Paperback

Series: Springer Finance

Business GeneralEconomicsInvesting & Finance

ISBN10: 1849965994
ISBN13: 9781849965996
Publisher: Springer Nature
Published: Oct 21 2010
Pages: 541
Weight: 1.71
Height: 1.14 Width: 6.14 Depth: 9.21
Language: English

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim is to bridge the gap between theoretical developments and the practical implementations of what many users and researchers perceive as sophisticated models. The emphasis throughout is on practice; there are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series, such as exchange and interest rates. Real applications are tailored for non-mathematicians who want to model financial market prices. The book is specially designed for course use, with the necessary background mathematics provided in appendices.

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