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Generalized Hyperbolic Secant Distributions: With Applications to Finance: SpringerBriefs in Statistics

Autor Matthias J. Fischer
en Limba Engleză Paperback – 15 ian 2014
​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.
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Specificații

ISBN-13: 9783642451379
ISBN-10: 3642451373
Pagini: 80
Ilustrații: VIII, 72 p. 17 illus., 4 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.13 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria SpringerBriefs in Statistics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Graduate

Cuprins

​Preface.- Hyperbolic Secant Distributions.- The GSH Distribution Family and Skew Versions.- The NEF-GHS or Meixner Distribution Family.- The BHS Distribution Family.- The SHS and SASHS Distribution Family.- Application to Finance.- R-Code: Fitting a BHS Distribution.

Recenzii

“The motivation of this monograph is precisely to provide a self-contained overview of generalized hyperbolic secant distributions. It conveys several features that these methodologies can be a basis in financial modeling, understandable by graduate students, researchers, and people familiar with both distribution theory and quantitative finance at a very simple level. … Generalized hyperbolic secant distributions is clearly an important and much needed book on this new subject … .” (Stergios B. Fotopoulos, Technometrics, Vol. 58 (3), August, 2016)

Notă biografică

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.

Textul de pe ultima copertă

​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 SpringerBrief.

Caracteristici

The first monograph to discuss generalized hyperbolic secant distributions Includes a comprehensive theoretical and empirical comparison between all generalized hyperbolic secant families The chapter on applications to finance also includes other popular distribution models Includes supplementary material: sn.pub/extras