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The Role Of News-Based Uncertainty Indices In Predicting Oil Markets: A Hybrid Nonparametric Quantile Causality Method

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Listed:
  • Mehmet Balcilar

    (Department of Economics, Eastern Mediterranean University)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • STELIOS BEKIROS

    (European University Institute (EUI))

Abstract

We emphasize the role of news-based economic policy and equity market uncertainty indices as robust drivers of oil price fluctuations. In that, we utilize a new hybrid nonparametric quantile causality methodology in order to investigate whether EPU and EMU uncertainty measures incorporate critical predictability for oil market returns and volatility. Based on an updated daily database spanning January 1986 to December 2014, we find that both measures present strong predictability over the entire distribution of oil around the median, yet more importantly for volatility forecastability covers the entire distribution except minor divergences in the tails. Therefore, an inherent heterogeneity is observed and an asymmetric pattern over the distribution of oil returns and its volatility exists with respect to uncertainty predictability.

Suggested Citation

  • Mehmet Balcilar & Rangan Gupta & STELIOS BEKIROS, 2015. "The Role Of News-Based Uncertainty Indices In Predicting Oil Markets: A Hybrid Nonparametric Quantile Causality Method," Working Papers 15-02, Eastern Mediterranean University, Department of Economics.
    • Handle: RePEc:emu:wpaper:15-02.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    Uncertainty; Oil markets; Volatility; Quantile causality;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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