• DocumentCode
    3041178
  • Title

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

  • Author

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

  • Author_Institution
    Sch. of Math. & Phys., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2401
  • Lastpage
    2403
  • 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.
  • Keywords
    financial management; oil refining; risk analysis; financial risk; improved historical simulation method; refined oil retail value amount estimation; refined oil risk management; risk VaR; value at risk; Economics; Forecasting; Marketing and sales; Petroleum; Predictive models; Reactive power; Risk management; GARCH model; historical simulation approach; value at risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002623
  • Filename
    6002623