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Oil prices and stock returns: nonlinear links across sectors

Author

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  • Carlos Pinho

    (Universidade de Aveiro)

  • Mara Madaleno

    (Universidade de Aveiro)

Abstract

We present evidence of an asymmetric relationship between oil prices and stock returns. The two regime multivariate Markov switching vector autoregressive (MSVAR) model allow us to capture the state shifts in the relationship between regional stock markets and sectors. Results suggest that oil price risk is significantly priced in the sample used. The impact is asymmetric with respect to market phases, and regimes have been associated with world economic, social and political events. Our study also suggests asymmetric responses of sector stock returns to oil price changes and different transmission impacts depending on the sector analyzed. There is a high causality from oil to sectors like Industrials and Oil & Gas. Companies inside the Utilities sector were more able to hedge against oil price increases between 2007 and 2012. Historical crisis events between 1992–1998 and 2003–2007 do not seem to have affected the relationship between oil and sector stock returns, given the higher probability of remaining smoother. For all sectors there seems to be a turn back to stability from 2012 onwards. Finally, investors gain more through portfolio diversification benefits built across, rather than within sectors.

Suggested Citation

  • Carlos Pinho & Mara Madaleno, 2016. "Oil prices and stock returns: nonlinear links across sectors," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 15(2), pages 79-97, August.
  • Handle: RePEc:spr:portec:v:15:y:2016:i:2:d:10.1007_s10258-016-0117-6
    DOI: 10.1007/s10258-016-0117-6
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    References listed on IDEAS

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    Cited by:

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    2. Afees A. Salisu & Ibrahim D. Raheem & Umar B. Ndako, 2017. "A sectoral analysis of asymmetric nexus between oil and stock," Working Papers 033, Centre for Econometric and Allied Research, University of Ibadan.

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    More about this item

    Keywords

    Oil prices; Nonlinear adjustment; Sector stock markets; Markov-switching models;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F30 - International Economics - - International Finance - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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