Andishe_ye Amari

Andishe_ye Amari

Analysis of stock data based on copula function

Document Type : Original Article

Authors
Department of Statistics, Ferdowsi University of Mashhad
Abstract
Acopula function is a useful tool in identifying the dependency structure of dependent data and thus fitting an appropriate
 joint distribution to the data. In this paper, stock exchange data, including three variables of financial weakness, accumu
lated profit, and tangible assets related to 110 Iranian companies from 2006 to 2010, are analyzed relating to the copula
 functions, and especially a three-dimensional distribution is fitted into this data. We use various tools to examine the type of
 dependencies between data, including scatter plots, chi-square charts, and Kendall charts. We also consider the directional
 and tail dependencies of the data and calculate the dependence coefficients of Kendall and Spearman. Finally, we perform
 a goodness of fit test for some well-known copulas to get the appropriate copula function of the available stock data of this
 article.
Keywords

Volume 26, Issue 1
September 2021
Pages 139-152

  • Receive Date 04 May 2025
  • First Publish Date 04 May 2025
  • Publish Date 23 August 2021