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Роль Пандемии Коронавируса И Развала Сделки Опек+ В Динамике Цены На Нефть В 2020 Г

Author

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  • Lomonosov Daniil

    (Russian Presidential Academy of National Economy and Public Administration)

Abstract

Мировые цены на нефть в 2020 г. претерпели ощутимые потрясения, которые связывают прежде всего с двумя событиями – срывом сделки ОПЕК+ и пандемией коронавируса. На основе BVAR-модели нефтяного рынка в статье оценена количественная роль данных событий в динамике цен на нефть, а также выделены каналы их влияния через структурные шоки. Выявлено, что ожидания экономических агентов сыграли доминирующую роль в падении нефтяных цен в первой половине 2020 г., в то время как прямой вклад спада деловой активности в этот период был более скромным. Основным же фактором роста цен во втором полугодии 2020 г. стало значительное сокращение мировой добычи нефти. Статья подготовлена в рамках выполнения научно-исследовательской работы государственного задания РАНХиГС.

Suggested Citation

  • Lomonosov Daniil, 2021. "Роль Пандемии Коронавируса И Развала Сделки Опек+ В Динамике Цены На Нефть В 2020 Г," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 8, pages 23-28, August.
    • Handle: RePEc:gai:ruserr:r2185
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    References listed on IDEAS

    as
    1. Kilian, Lutz & Lee, Thomas K., 2014. "Quantifying the speculative component in the real price of oil: The role of global oil inventories," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 71-87.
    2. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    3. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    4. Inoue, Atsushi & Kilian, Lutz, 2013. "Inference on impulse response functions in structural VAR models," Journal of Econometrics, Elsevier, vol. 177(1), pages 1-13.
    5. Lutz Kilian & Xiaoqing Zhou, 2023. "The Econometrics of Oil Market VAR Models," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 65-95, Emerald Group Publishing Limited.
    6. Lutz Kilian & Daniel P. Murphy, 2012. "Why Agnostic Sign Restrictions Are Not Enough: Understanding The Dynamics Of Oil Market Var Models," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1166-1188, October.
    7. 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.
    8. Daniil Lomonosov & Andrey Polbin & Nikita Fokin, 2021. "The Impact of Global Economic Activity, Oil Supply and Speculative Oil Shocks on the Russian Economy," HSE Economic Journal, National Research University Higher School of Economics, vol. 25(2), pages 227-262.
    9. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    цены на нефть; пандемия; ОПЕК+; шоки мировой деловой активности; шоки предложения нефти; специфические шоки спроса на нефть;
    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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