Generalized Hyperbolic Secant Distributions

Matthias J. Fischer

ISBN 10: 3642451373 / ISBN 13: 9783642451379

Published by Springer Berlin Heidelberg Jan 2014, 2014

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Among the symmetrical distributions with an infinite domain, the most popular alternative to the normal variant is the logistic distribution as well as the Laplace or the double exponential distribution, which was first introduced in 1774. Occasionally, the Cauchy distribution is also used. Surprisingly, the hyperbolic secant distribution has led a charmed life, although Manoukian and Nadeau had already stated in 1988 that '. the hyperbolic-secant distribution . has not received sufficient attention in the published literature and may be useful for students and practitioners.' During the last few years, however, several generalizations of the hyperbolic secant distribution have become popular in the context of financial return data because of its excellent fit. Nearly all of them are summarized within this Springer Brief. 80 pp. Englisch.

Seller Inventory # 9783642451379

Bibliographic Details

• Title: Generalized Hyperbolic Secant Distributions
• Publisher: Springer Berlin Heidelberg Jan 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3642451373
• ISBN 13: 9783642451379
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 5D millimeters 235 millimeters width by 155 millimeters height by 5 millimeters depth
• Weight: 137 grams

About this title

Synopsis

​Among the symmetrical distributions with an infinite domain, the most popular alternative to the normal variant is the logistic distribution as well as the Laplace or the double exponential distribution, which was first introduced in 1774. Occasionally, the Cauchy distribution is also used. Surprisingly, the hyperbolic secant distribution has led a charmed life, although Manoukian and Nadeau had already stated in 1988 that “... the hyperbolic-secant distribution ... has not received sufficient attention in the published literature and may be useful for students and practitioners.” During the last few years, however, several generalizations of the hyperbolic secant distribution have become popular in the context of financial return data because of its excellent fit. Nearly all of them are summarized within this Springer Brief.

About the Author

Matthias Fischer studied Mathematics at the University of Erlangen-Nürnberg. His dissertation focused on infinitely divisible distribution and its application to option pricing and was followed by a postdoctoral thesis on copula-based, time-varying patchwork distributions with applications to financial data. He has also published a number of papers and monographs, in particular on generalized hyperbolic secant distributions.