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Spillovers between oil and stock markets at times of geopolitical unrest and economic turbulence

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  • Antonakakis, Nikolaos
  • Chatziantoniou, Ioannis
  • Filis, George

Abstract

In this study we examine the dynamic structural relationship between oil price shocks and stock market returns and volatility for a sample of both net oil-exporting and net oil-importing countries between 1995:09 and 2013:07. We accomplish that, by extending the Diebold and Yilmaz (2012) dynamic spillover index using structural forecast error variance decomposition. The results for both stock market returns and volatility suggest that spillover effects vary across different time periods, and that this time{varying character is aligned with certain developments that take place in the global economy. In particular, aggregate demand shocks appear to act as the main transmitters of spillover effects to stock markets during periods characterised by economic-driven events, while supply-side and oil-specific demand shocks during periods of geopolitical unrest. Furthermore, differences regarding the directions and the strength of spillover effects can be reported both between and within the net oil-importing and net oil-exporting countries. These results are of particular importance to investors and portfolio managers, given the recent financialisation of the oil market.

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  • Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Spillovers between oil and stock markets at times of geopolitical unrest and economic turbulence," MPRA Paper 59760, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:59760
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    7. Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022. "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, vol. 77(C).
    8. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.
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    More about this item

    Keywords

    Oil price shocks; Stock market; Volatility; Spillover index; Structural Vector Autoregression; Geopolitical unrest; Economic crisis;
    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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