Andishe_ye Amari

Andishe_ye Amari

An Approach to Estimation of Expected Shortfall based on value at risk and time series ARMA − GARCH model

Document Type : Original Article

Authors
Ferdowsi University of Mashhad
Abstract
Risk management is an important process for making investment decisions, which includes analyzing the risk in an investment and deciding whether or not to accept that risk in light of the expected returns for the investment. There are various parametric, non-parametric and semi-parametric methods for measuring and analyzing risk in financial markets, but the two main and widely used methods are value at risk and expected shortfall. In this article, a method for estimating
the expected shortfall is presented, in which different value-at-risk estimation methods and ARMA − GARCH time series models are used to predict future fluctuations. Finally, this method is tested on real data and its superiority over the parametric method is shown by the feedback test.
Keywords
Subjects

Volume 29, Issue 2
April 2025
Pages 110-126

  • Receive Date 30 April 2025
  • Revise Date 10 May 2026
  • Accept Date 22 June 2026
  • First Publish Date 22 June 2026
  • Publish Date 19 February 2025