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From Supply-Chain Disruptions to Speculative Exuberance: How Energy Transportation Uncertainty Drives Oil Price Bubbles

Author

Listed:
  • Ufuk Can

    (Central Bank of the Republic of Turkiye, Adana, Turkiye; Centre for Applied Macroeconomic Analysis, Australian National University, Canberra, Australia; Economic Research Forum, Cairo, Egypt)

  • Oguzhan Cepni

    (Ostim Technical University, Ankara, Turkiye; University of Edinburgh Business School, Centre for Business, Climate Change, and Sustainability; Department of Economics, Copenhagen Business School, Denmark)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • Onur Polat

    (Institute of Informatics, Hacettepe University, Beytepe Campus, 06800 Cankaya, Ankara, Turkiye)

Abstract

This study examines how a newspapers-based index of energy transportation uncertainty (ETU) has historically influenced extreme fluctuations in West Texas Intermediate oil prices from November 1982 to May 2025. We apply the Multi-Scale Log-Periodic Power Law Singularity model to identify both positive and negative bubbles across short-, medium-, and long-term periods. We then isolate structural ETU shocks with a Structural Vector Autoregression model and trace their dynamic impacts on six bubble indicators using Local Projections. The results reveal that the impact of energy transportation uncertainty is asymmetric and horizon dependent. While short- and medium-term responses are predominantly noisy or initially suppressive, ETU triggers a highly significant, delayed surge in long-term positive bubbles, eventually followed by an increased probability of downside corrections. This demonstrates that physical transportation disruptions operate largely through an expectations channel, gradually transforming fundamental scarcity concerns into self-reinforcing speculative boom-bust cycles. These findings underscore the need for policymakers and market participants to treat transportation uncertainty as a distinct channel, requiring horizon-specific hedging and resilient infrastructure to mitigate expectation-driven market fragility.

Suggested Citation

  • Ufuk Can & Oguzhan Cepni & Rangan Gupta & Onur Polat, 2026. "From Supply-Chain Disruptions to Speculative Exuberance: How Energy Transportation Uncertainty Drives Oil Price Bubbles," Working Papers 202608, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:202608
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    References listed on IDEAS

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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