An improved historical simulation method to estimate the amount of refined oil retail value at risk VaR

Yongtao Wan*, Lutao Zhao, Zhigang Zhang, Dongmei Ai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Value at risk, an effective measurement of financial risk, can be used to forecast the risk associated with amount of refined oil. In this paper, an improved Historical Simulation Approach, HSGF is proposed, which is based on a former approach, HSAF. By comparing it with the HS,HSAF and HSGF approach, this paper give evidence to show that HSGF has a more effective forecasting power in the field of amount of refined oil risk management.

Original languageEnglish
Title of host publication2011 International Conference on Multimedia Technology, ICMT 2011
Pages2401-2403
Number of pages3
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2nd International Conference on Multimedia Technology, ICMT 2011 - Hangzhou, China
Duration: 26 Jul 201128 Jul 2011

Publication series

Name2011 International Conference on Multimedia Technology, ICMT 2011

Conference

Conference2nd International Conference on Multimedia Technology, ICMT 2011
Country/TerritoryChina
CityHangzhou
Period26/07/1128/07/11

Keywords

  • GARCH model
  • Historical simulation approach
  • Value at risk

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