Can I read Financial Modeling Under Non-Gaussian Distributions (Springer Finance) on EtoBox?

Financial Modeling Under Non-Gaussian Distributions (Springer Finance) by Eric Jondeau, Ser-Huang Poon, Michael Rockinger (auth.) is a nonfiction available to read on EtoBox.

What is Financial Modeling Under Non-Gaussian Distributions (Springer Finance) about?

Practitioners and researchers who have handled financial market data know that asset returns do not behave according to the bell-shaped curve, associated with the Gaussian or normal distribution. Indeed, the use of Gaussian models when the asset return distributions are not normal could lead to a wrong choice of portfolio, the underestimation of extreme losses or mispriced derivative products. Consequently, non-Gaussian models and models based on processes with jumps are gaining popularity among financial market practitioners. 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. One of the main aims is to bridge the gap between the theoretical developments and the practical implementations of what many users and researchers perceive as "sophisticated" models or black boxes. The book is written for non-mathematicians who want to model financial market prices so 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 a

Who reads Financial Modeling Under Non-Gaussian Distributions (Springer Finance)?

Author

Eric Jondeau, Ser-Huang Poon, Michael Rockinger (auth.)

Publisher

Springer-Verlag London

Published

2007

Language

EN

ISBN

9781846286964

Category

nonfiction

Subjects

Science, Mathematics, Business