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Oil price uncertainty and the Canadian economy: Evidence from a VARMA, GARCH-in-Mean, asymmetric BEKK model

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  • Rahman, Sajjadur
  • Serletis, Apostolos

Abstract

In this paper we build on recent work by Elder and Serletis (2010, forthcoming) and Rahman and Serletis (forthcoming) and investigate the relationship between oil price uncertainty and the level of economic activity, using quarterly Canadian data over the period from 1974:1 to 2010:1. In doing so, we use a bivariate VARMA, GARCH-in-Mean, asymmetric BEKK model, as detailed in Engle and Kroner (1995), Grier et al. (2004), and Shields et al. (2005). We show that the conditional variance–covariance process underlying output growth and the change in the real price of oil exhibits significant non-diagonality and asymmetry. We also present evidence that increased uncertainty about the change in the real price of oil is associated with a lower average growth rate of real economic activity in Canada, consistent with the results in Elder and Serletis (2010, forthcoming) and Rahman and Serletis (forthcoming) for the United States and Elder and Serletis (2009) for Canada. Our results are robust to alternative measures of the price of oil, alternative measures of the level of economic activity, and alternative data frequencies.

Suggested Citation

  • Rahman, Sajjadur & Serletis, Apostolos, 2012. "Oil price uncertainty and the Canadian economy: Evidence from a VARMA, GARCH-in-Mean, asymmetric BEKK model," Energy Economics, Elsevier, vol. 34(2), pages 603-610.
  • Handle: RePEc:eee:eneeco:v:34:y:2012:i:2:p:603-610 DOI: 10.1016/j.eneco.2011.08.014
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    1. Bashar, Omar H.M.N. & Wadud, I.K.M. Mokhtarul & Ali Ahmed, Huson Joher, 2013. "Oil price uncertainty, monetary policy and the macroeconomy: The Canadian perspective," Economic Modelling, Elsevier, vol. 35(C), pages 249-259.
    2. Hachula, Michael & Hoffmann, Sebastian, 2015. "The output effects of commodity price volatility: Evidence from exporting countries," Discussion Papers 2015/29, Free University Berlin, School of Business & Economics.
    3. Lux, Thomas & Segnon, Mawuli & Gupta, Rangan, 2016. "Forecasting crude oil price volatility and value-at-risk: Evidence from historical and recent data," Energy Economics, Elsevier, pages 117-133.
    4. Bondia, Ripsy & Ghosh, Sajal & Kanjilal, Kakali, 2016. "International crude oil prices and the stock prices of clean energy and technology companies: Evidence from non-linear cointegration tests with unknown structural breaks," Energy, Elsevier, vol. 101(C), pages 558-565.
    5. Magnani, Natalia & Vaona, Andrea, 2013. "Regional spillover effects of renewable energy generation in Italy," Energy Policy, Elsevier, vol. 56(C), pages 663-671.
    6. Allegret, Jean-Pierre & Mignon, Valérie & Sallenave, Audrey, 2015. "Oil price shocks and global imbalances: Lessons from a model with trade and financial interdependencies," Economic Modelling, Elsevier, vol. 49(C), pages 232-247.
    7. Narayan, Paresh Kumar & Sharma, Susan & Poon, Wai Ching & Westerlund, Joakim, 2014. "Do oil prices predict economic growth? New global evidence," Energy Economics, Elsevier, pages 137-146.
    8. Kyrtsou, Catherine & Malliaris, Anastasios G. & Serletis, Apostolos, 2009. "Energy sector pricing: On the role of neglected nonlinearity," Energy Economics, Elsevier, vol. 31(3), pages 492-502, May.
    9. Thiem, Christopher, 2017. "Oil price uncertainty and the business cycle: Accounting for the influences of global supply and demand within a VAR GARCH-in-mean framework," Ruhr Economic Papers 674, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Chong, Heap-Yih & Lam, Wei-Haur, 2013. "Ocean renewable energy in Malaysia: The potential of the Straits of Malacca," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 169-178.
    11. Hasanov, Akram Shavkatovich & Do, Hung Xuan & Shaiban, Mohammed Sharaf, 2016. "Fossil fuel price uncertainty and feedstock edible oil prices: Evidence from MGARCH-M and VIRF analysis," Energy Economics, Elsevier, pages 16-27.
    12. Narayan, Paresh Kumar & Sharma, Susan & Poon, Wai Ching & Westerlund, Joakim, 2014. "Do oil prices predict economic growth? New global evidence," Energy Economics, Elsevier, pages 137-146.
    13. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, pages 264-273.
    14. Serletis, Apostolos & Istiak, Khandokar, 2017. "Financial intermediary leverage spillovers," Research in International Business and Finance, Elsevier, pages 1000-1007.
    15. Wen, Xiaoqian & Guo, Yanfeng & Wei, Yu & Huang, Dengshi, 2014. "How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China," Energy Economics, Elsevier, pages 63-75.
    16. Lux, Thomas & Segnon, Mawuli & Gupta, Rangan, 2015. "Modeling and forecasting crude oil price volatility: Evidence from historical and recent data," FinMaP-Working Papers 31, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    17. Heidari, Hassan & Babaei Balderlou, Saharnaz, 2014. "بررسی تأثیر نااطمینانی قیمت نفت خام بر رشد بخش صنعت و معدن در ایران کاربردی از مدل‌های تبدیل مارکف
      [Investigation of the Effect of Crude Oil Price Uncertainty on the Growth of Industry and Mine Sec
      ," MPRA Paper 79228, University Library of Munich, Germany.
    18. Serletis, Apostolos & Xu, Libo, 2016. "Volatility and a century of energy markets dynamics," Energy Economics, Elsevier, pages 1-9.
    19. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Nicola, 2015. "Exchange rate uncertainty and international portfolio flows: A multivariate GARCH-in-mean approach," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 70-92.
    20. Fuest, Angela & Schmidt, Torsten, 2017. "Inflation expectation uncertainty, inflation and the output gap," Ruhr Economic Papers 673, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    More about this item

    Keywords

    Crude oil; Volatility; Bivariate VARMA; GARCH-in-Mean model; Asymmetric BEKK model;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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

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