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Causal Link between Oil Price and Uncertainty in India

Author

Listed:
  • Ghassen El Montasser

    (Ecolesuperieure de Commerce de Tunis, Campus Universitaire de la Manouba - 2010 La Manouba, Tunisia.)

  • Kenza Aggad

    (Department of Economics, University of Pretoria, South Africa.)

  • Louise Clark

    (Department of Economics, University of Pretoria, South Africa.)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, South Africa.)

  • Shannon Kemp

    (Department of Economics, University of Pretoria, South Africa.)

Abstract

This paper investigates the causality between oil price and economic uncertainty in India. In order to test for this relationship, we collect data on the Brent crude oil price as well as the crude oil ETF volatility index. We also use the policy-related economic uncertainty index as well as the stock market volatility index for India. Our results suggest that the standard Granger causality test rejects the hypothesis of causality between oil price changes and economic uncertainty in India. As a result of the shortcoming of the standard Granger test in the presence of parameter instability, we perform Rossi’s (2005) test. It shows that the Brent crude oil price does not have a causal impact on India’s economic uncertainty but the crude oil ETF volatility index does. Clearly, oil and India’s economic uncertainty go hand-in hand. These findings can thus be used in the context of policy recommendation.

Suggested Citation

  • Ghassen El Montasser & Kenza Aggad & Louise Clark & Rangan Gupta & Shannon Kemp, 2014. "Causal Link between Oil Price and Uncertainty in India," Working Papers 201467, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201467
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    References listed on IDEAS

    as
    1. Rossi, Barbara, 2005. "Optimal Tests For Nested Model Selection With Underlying Parameter Instability," Econometric Theory, Cambridge University Press, vol. 21(5), pages 962-990, October.
    2. Yu-Chin Chen & Kenneth S. Rogoff & Barbara Rossi, 2010. "Can Exchange Rates Forecast Commodity Prices?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1145-1194.
    3. Kang, Wensheng & Ratti, Ronald A., 2013. "Structural oil price shocks and policy uncertainty," Economic Modelling, Elsevier, vol. 35(C), pages 314-319.
    4. Donald W. K. Andrews, 2003. "Tests for Parameter Instability and Structural Change with Unknown Change Point: A Corrigendum," Econometrica, Econometric Society, vol. 71(1), pages 395-397, January.
    5. Jean‐Marc Natal, 2012. "Monetary Policy Response to Oil Price Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 53-101, February.
    6. Montoro, Carlos, 2012. "Oil Shocks And Optimal Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 16(2), pages 240-277, April.
    7. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    8. Kang, Wensheng & Ratti, Ronald A., 2013. "Oil shocks, policy uncertainty and stock market return," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 305-318.
    9. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
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    Cited by:

    1. Aloui, Riadh & Gupta, Rangan & Miller, Stephen M., 2016. "Uncertainty and crude oil returns," Energy Economics, Elsevier, vol. 55(C), pages 92-100.

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    Keywords

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • 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
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E66 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General Outlook and Conditions
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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