M. L. Bianchi, Stoyan Stoyanov, G. Tassinari, F. Fabozzi, S. Focardi
{"title":"The Generalized Hyperbolic Distribution","authors":"M. L. Bianchi, Stoyan Stoyanov, G. Tassinari, F. Fabozzi, S. Focardi","doi":"10.1142/9789813276208_0004","DOIUrl":null,"url":null,"abstract":"The main topics covered in this chapter are:the definition and the main properties of the class of generalized hyperbolic distributions including different parameterizations, tail behavior, and central and non-central moments common in applications in finance;special subclasses which represent popular models in finance including the hyperbolic, the normal inverse Gaussian, the hyperbolic skewed t, the variance gamma, and other distributions;a random number generator for the general case and the most important subclasses;the method of maximum likelihood for parameter estimation for the general case and the most important subclasses;an empirical comparison of the fits of the generalized hyperbolic class and the most important subclasses based on the daily returns of the SPthe intuition behind the multivariate generalized hyperbolic distribution.","PeriodicalId":227655,"journal":{"name":"Handbook of Heavy-Tailed Distributions in Asset Management and Risk Management","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook of Heavy-Tailed Distributions in Asset Management and Risk Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9789813276208_0004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The main topics covered in this chapter are:the definition and the main properties of the class of generalized hyperbolic distributions including different parameterizations, tail behavior, and central and non-central moments common in applications in finance;special subclasses which represent popular models in finance including the hyperbolic, the normal inverse Gaussian, the hyperbolic skewed t, the variance gamma, and other distributions;a random number generator for the general case and the most important subclasses;the method of maximum likelihood for parameter estimation for the general case and the most important subclasses;an empirical comparison of the fits of the generalized hyperbolic class and the most important subclasses based on the daily returns of the SPthe intuition behind the multivariate generalized hyperbolic distribution.