The optimal hedge strategy of crude oil spot and futures markets: Evidence from a novel method

Lu Tao Zhao, Ya Meng, Yue Jun Zhang*, Yun Tao Li

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    19 Citations (Scopus)

    Abstract

    Hedging is an important measure for investors to resist extreme risks and improve their profits. This paper develops a FIGARCH–EVT–copula–VaR model to derive hedge ratio when hedging crude oil spot and futures markets, overcoming the limitations of static models and simple dynamic models in existing literature. The empirical results indicate that the FIGARCH–EVT–copula–VaR model is superior to the other three commonly used models based on four criteria: mean of returns, variance of returns, ratio of mean to variance of returns, and hedging effectiveness. Comparatively, the new model has superior performance to other three models during the sample period and can be used by investors to obtain excellent hedging effect.

    Original languageEnglish
    Pages (from-to)186-203
    Number of pages18
    JournalInternational Journal of Finance and Economics
    Volume24
    Issue number1
    DOIs
    Publication statusPublished - Jan 2019

    Keywords

    • EVT
    • FIGARCH model
    • VaR
    • copula
    • oil price
    • optimal hedge ratio

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