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Geopolitical Turning Points and Oil Price Responses: An IV-LP Approach

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  • Saadaoui, Jamel

Abstract

This paper introduces a novel identification strategy of geopolitical turning points, defined as sharp, unanticipated inflection points in bilateral relations. These shocks are measured using the second difference of the Political Relationship Index (Δ²PRI), an event-based monthly index derived from Chinese sources. Unlike standard geopolitical risk indices, Δ²PRI isolates events that represent exogenous shifts in diplomatic relationships. Using quantile IV-local projections, the paper studies the causal and asymmetric impact of these shocks on global oil prices. An improvement in US–China relations reduces oil prices by 0.2% in the short run and raises them by 0.3% in the medium run, with effects varying across the oil price distribution. The extension to the Japan–China dyad supports external validity. The Δ²PRI instrument offers a reusable framework for analyzing bilateral political shocks across various macroeconomic outcomes, making a methodological contribution to the international economics literature.

Suggested Citation

  • Saadaoui, Jamel, 2025. "Geopolitical Turning Points and Oil Price Responses: An IV-LP Approach," MPRA Paper 125586, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:125586
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    1. Joshua Aizenman & Daniel Riera-Crichton, 2008. "Real Exchange Rate and International Reserves in an Era of Growing Financial and Trade Integration," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 812-815, November.
    2. Goldberg, Linda S. & Krogstrup, Signe, 2023. "International capital flow pressures and global factors," Journal of International Economics, Elsevier, vol. 146(C).
    3. Mignon, Valérie & Saadaoui, Jamel, 2024. "How do political tensions and geopolitical risks impact oil prices?," Energy Economics, Elsevier, vol. 129(C).
    4. Lutz Kilian & Michael D. Plante & Alexander W. Richter, 2025. "Macroeconomic Responses to Uncertainty Shocks: The Perils of Recursive Orderings," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(4), pages 395-410, June.
    5. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    6. Mignon, Valérie & Saadaoui, Jamel, 2025. "Asymmetries in the oil market: accounting for the growing role of China through quantile regressions," Macroeconomic Dynamics, Cambridge University Press, vol. 29, pages 1-1, January.
    7. Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2015. "What Drives Oil Prices? Emerging Versus Developed Economies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1013-1028, November.
    8. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    9. Backus, David K. & Crucini, Mario J., 2000. "Oil prices and the terms of trade," Journal of International Economics, Elsevier, vol. 50(1), pages 185-213, February.
    10. Christiane Baumeister & James D. Hamilton, 2019. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," American Economic Review, American Economic Association, vol. 109(5), pages 1873-1910, May.
    11. Regis Barnichon & Christian Brownlees, 2019. "Impulse Response Estimation by Smooth Local Projections," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 522-530, July.
    12. Kilian, Lutz & Rebucci, Alessandro & Spatafora, Nikola, 2009. "Oil shocks and external balances," Journal of International Economics, Elsevier, vol. 77(2), pages 181-194, April.
    13. Bondarenko, Yevheniia & Lewis, Vivien & Rottner, Matthias & Schüler, Yves, 2024. "Geopolitical risk perceptions," Journal of International Economics, Elsevier, vol. 152(C).
    14. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
    15. Du, Yingxin & Ju, Jiandong & Ramirez, Carlos D. & Yao, Xi, 2017. "Bilateral trade and shocks in political relations: Evidence from China and some of its major trading partners, 1990–2013," Journal of International Economics, Elsevier, vol. 108(C), pages 211-225.
    16. Inoue, Atsushi & Rossi, Barbara & Wang, Yiru, 2024. "Local projections in unstable environments," Journal of Econometrics, Elsevier, vol. 244(2).
    17. Barsky, Robert B. & Sims, Eric R., 2011. "News shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 273-289.
    18. Bodenstein, Martin & Erceg, Christopher J. & Guerrieri, Luca, 2011. "Oil shocks and external adjustment," Journal of International Economics, Elsevier, vol. 83(2), pages 168-184, March.
    19. Jamel Saadaoui, 2024. "The Impact of Political Tensions and Geopolitical Risks on Oil Prices in Unstable Environments," Working Papers 2024.13, International Network for Economic Research - INFER.
    20. Kaplan, David M. & Sun, Yixiao, 2017. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," Econometric Theory, Cambridge University Press, vol. 33(1), pages 105-157, February.
    21. Khalil, Makram, 2022. "Oil prices, manufacturing goods, and nontradeable services," Journal of International Economics, Elsevier, vol. 134(C).
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    Keywords

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    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • 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
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions

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