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The economic value of high-frequency data in equity-oil hedge

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  • Kuang, Wei

Abstract

This paper studies the economic value of high-frequency data in the equity-oil hedge. Specifically, we use oil to perform a minimum variance hedge for equity indices. We find that intraday information helps generate more accurate hedge ratio forecasts and achieve more effective variance reduction. However, it does not always lead to larger tail risk reduction or utility gains, as the minimum variance hedging strategy aims for variance reduction without considering the first or high-order moments. Overall, the findings reveal the benefits and limitations of using intraday information in cross-asset hedges, which would be of interest to financial market participants, corporations, and regulators.

Suggested Citation

  • Kuang, Wei, 2022. "The economic value of high-frequency data in equity-oil hedge," Energy, Elsevier, vol. 239(PA).
  • Handle: RePEc:eee:energy:v:239:y:2022:i:pa:s0360544221021526
    DOI: 10.1016/j.energy.2021.121904
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    Cited by:

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    2. Amaro, Raphael & Pinho, Carlos, 2022. "Energy commodities: A study on model selection for estimating Value-at-Risk," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 5-27.

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    More about this item

    Keywords

    Minimum variance hedge; Realized hedge ratio; Hedging effectiveness; Equity oil hedge;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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