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Global connectedness of MSCI energy equity indices: A system-wide network approach

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  • Singh, Vipul Kumar
  • Kumar, Pawan
  • Nishant, Shreyank

Abstract

The paper utilizes MSCI energy indices of 21 major energy consumer economies as a full sample to serve as a proxy indicator of the energy sector of these economies and then studies the squared return spillover interlinkages among them for the pre- and post-global financial crisis of 2008 and during the crude oil crises of 2008–09 and 2014–15. The squared return spillover connectedness has been analyzed on intra- and inter-regional basis based on the segregation of indices into regions, viz., Europe, North and Latin America, and Asia Pacific and Africa. The connectedness interlinkage has been quantified deploying Generalized Error Variance Decomposition (GEVD), and the results have been visualized via network diagrams. The result shows that the return spillover connectedness is significant and is more prominent in some economies, primarily in Europe and North America, for the full sample. However, post-crisis, the squared return spillover connectedness of emerging economies of Asia Pacific has witnessed a boost. Surprisingly, Russia, as a major oil exporter, sends moderate shocks system-wide in the post-crisis era, implying economic sanctions downplay the influence it could make in the energy sector. During the crisis year, though spillover risk transmission is high during the 2008–09 crisis, it is more spread out during the 2014–15 crisis with the inclusion of the Asia Pacific emerging market energy indices.

Suggested Citation

  • Singh, Vipul Kumar & Kumar, Pawan & Nishant, Shreyank, 2019. "Global connectedness of MSCI energy equity indices: A system-wide network approach," Energy Economics, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:eneeco:v:84:y:2019:i:c:s0140988319302580
    DOI: 10.1016/j.eneco.2019.104477
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    More about this item

    Keywords

    Connectedness; Energy; GEVD; MSCI; Network; Spillover; VAR; Squared return;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • F6 - International Economics - - Economic Impacts of Globalization
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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