• DocumentCode
    683706
  • Title

    A New Model of Minimum Variance Hedge Ratio: EGARCH-Copula-EWMA

  • Author

    Yang Jian-Hui ; Chen Ying-Ying

  • Author_Institution
    Sch. of Bus. Adm., South China Univ. of Technol., Guangzhou, China
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    812
  • Lastpage
    816
  • Abstract
    This paper proposes a new model to calculate minimum variance hedge ratio based on EGARCH-Copula-EWMA model. Based on Minimum variance hedging model, the new model calculates Futures yield rate by EGARCH model and Spot yield rate by EWMA model respectively when it calculates the median correlation coefficient of Futures yield rate and Spot yield rate. The new model make the nonlinear phase-matching of Futures yield rate and Spot yield rate which improve the accuracy of the correlation coefficient in case the price of Futures or spot has large fluctuations. We choose the Aluminum Futures contracts AL1208 and the price of Aluminum spot in the same period to test the model, the effectiveness of the portfolio is 0.7862707, which reduce the risk comparing with non-hedging. The conclusion shows that the model can be used in hedging to lessen the risk of spot price effectively.
  • Keywords
    autoregressive moving average processes; investment; risk management; share prices; stock markets; Aluminum Futures contracts; Aluminum spot price; EGARCH-Copula-EWMA model; Futures yield rate; Spot yield rate; exponential weighted moving average method; median correlation coefficient; minimum variance hedge ratio; nonlinear phase-matching; portfolio; risk reduction; spot price; Correlation coefficient; Equations; Mathematical model; Modeling; Portfolios; Predictive models; Standards; EWMA-Copula-EGARCH model; Futures; Hedge ratio; Spot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2013 9th International Conference on
  • Conference_Location
    Leshan
  • Print_ISBN
    978-1-4799-2548-3
  • Type

    conf

  • DOI
    10.1109/CIS.2013.177
  • Filename
    6746545