Tailweight, quantiles and kurtosis: A study of competing distributions

  • Authors:
  • Thomas Fung;Eugene Seneta

  • Affiliations:
  • School of Mathematics and Statistics, University of Sydney, NSW 2006, Australia;School of Mathematics and Statistics, University of Sydney, NSW 2006, Australia

  • Venue:
  • Operations Research Letters
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper studies analytically and numerically the tail behavior of the symmetric variance-gamma (VG), t, and exponential-power (EP) distributions. Special emphasis is on the VG, which is a direct competitor of the t in the financial context of modeling the distribution of log-price increments.