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Does Oil Price Uncertainty Matter for Stock Returns in South Africa?

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  • Goodness C. Aye

    (Department of Economics, University of Pretoria)

Abstract

This paper examines the impact of oil price uncertainty on South Africa’s stock returns using weekly data that covers the period 1995:07:01 to 2014:08:30. The measure of oil price uncertainty is the conditional standard deviation of the one-step-ahead forecast error for the change in the price of oil. A bivariate GARCH-in-mean vector autoregressive model was used for analysis. The results show that oil price uncertainty had negative but marginally significant effect on stock returns. The study also finds that accounting for oil price uncertainty in an oil price-stock returns equation tends to amplify the negative dynamic response of stock returns to a positive oil shock, while diminishing the response of stock returns to a negative oil price shock compared to a model which excludes oil price uncertainty from entering the oil price-stock returns equation. Furthermore, the response of stock returns to negative and positive oil price uncertainty shocks is asymmetric.

Suggested Citation

  • Goodness C. Aye, 2014. "Does Oil Price Uncertainty Matter for Stock Returns in South Africa?," Working Papers 201484, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201484
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    References listed on IDEAS

    as
    1. Filis, George & Degiannakis, Stavros & Floros, Christos, 2011. "Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 152-164, June.
    2. Komain Jiranyakul, 2014. "Does oil price uncertainty transmit to the Thai stock market?," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 2(6), pages 16-25, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Real oil price; Real stock returns; Volatility; Asymmetry; GARCH-in-mean VAR; Emerging market;
    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
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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