M. L. Bianchi, Stoyan Stoyanov, G. Tassinari, F. Fabozzi, S. Focardi
{"title":"Multivariate Time-Changed Brownian Motion","authors":"M. L. Bianchi, Stoyan Stoyanov, G. Tassinari, F. Fabozzi, S. Focardi","doi":"10.1142/9789813276208_0007","DOIUrl":null,"url":null,"abstract":"The main topics covered in this chapter are:the history of time-changed Brownian motion and why this process has been applied to finance;the main properties and formulas for different parametric examples of multivariate time-changed Brownian motion;the relation between multivariate time-changed Brownian motion and multivariate normal mean–variance mixture distributions;the derivation of the closed formula for the density function of some multivariate normal mean–variance mixture laws;the evaluation of the probability density function of a multivariate normal mean–variance mixture law when only the characteristic function of the mixing distribution is available in closed form while the density function is not;how to generate sample draws from a multivariate normal mean–variance mixture law.","PeriodicalId":227655,"journal":{"name":"Handbook of Heavy-Tailed Distributions in Asset Management and Risk Management","volume":"159 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","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_0007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The main topics covered in this chapter are:the history of time-changed Brownian motion and why this process has been applied to finance;the main properties and formulas for different parametric examples of multivariate time-changed Brownian motion;the relation between multivariate time-changed Brownian motion and multivariate normal mean–variance mixture distributions;the derivation of the closed formula for the density function of some multivariate normal mean–variance mixture laws;the evaluation of the probability density function of a multivariate normal mean–variance mixture law when only the characteristic function of the mixing distribution is available in closed form while the density function is not;how to generate sample draws from a multivariate normal mean–variance mixture law.