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Disentangling Timing Uncertainty of Event-Driven Connectedness among Oil-Based Energy Commodities

Author

Listed:
  • Evžen Kočenda
  • Daniel Bartušek
  • Evžen Kocenda

Abstract

Reported news events frequently influence the pricing dynamics of oil-based commodities. We analyze almost 900 oil-related events from 1987 to 2022, categorizing them based on recurring characteristics. We quantify dynamic connectedness among energy commodities and apply a novel bootstrap-after-bootstrap testing procedure to identify 21 statistically significant historical events that triggered abrupt and enduring increases in volatility connectedness. Geopolitical events are more consistently associated with elevated connectedness than economic events, while natural events do not exhibit a similar impact. Events share prevailing characteristics: their negativity, unexpected nature, and the introduction of concerns about oil supply shortages.

Suggested Citation

  • Evžen Kočenda & Daniel Bartušek & Evžen Kocenda, 2024. "Disentangling Timing Uncertainty of Event-Driven Connectedness among Oil-Based Energy Commodities," CESifo Working Paper Series 11494, CESifo.
    • Handle: RePEc:ces:ceswps:_11494
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    References listed on IDEAS

    as
    1. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    2. Togonidze, Sophio & Kočenda, Evžen, 2022. "Macroeconomic responses of emerging market economies to oil price shocks: An analysis by region and resource profile," Economic Systems, Elsevier, vol. 46(3).
    3. Kočenda, Evžen & Moravcová, Michala, 2019. "Exchange rate comovements, hedging and volatility spillovers on new EU forex markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 42-64.
    4. Naeem, Muhammad Abubakr & Balli, Faruk & Shahzad, Syed Jawad Hussain & de Bruin, Anne, 2020. "Energy commodity uncertainties and the systematic risk of US industries," Energy Economics, Elsevier, vol. 85(C).
    5. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    energy commodities; crude oil; volatility connectedness; systemic events; bootstrap-after-bootstrap procedure;
    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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q35 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Hydrocarbon Resources

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