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The 2014–15 Financial Crisis in Russia and the Foundations of Weak Monetary Power Autonomy in the International Political Economy

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  • Ilja Viktorov
  • Alexander Abramov

Abstract

This article contributes to international political economy debates about the monetary power autonomy (MPA) of emerging market and developing countries (EMDs). The 2014–15 Russian financial crisis is used as a case study to explore why an accumulation of large international reserves does not provide protection against currency crises and macroeconomic adjustments in EMDs. The analysis centres on the interplay between two dimensions of MPA: the Power to Delay and the Power to Deflect adjustment costs. Two structural factors condition Russia’s low MPA. First, the country’s subordinated integration in global financial markets increases its financial vulnerability. The composition of external assets and liabilities, combined with cross-border capital flows, restrict the use of international reserves to delay currency crises. Second, the choice of a particular macroeconomic policy regime embraced the financialisation of the – mainly state-owned – Russian banking sector, thus making it difficult to transform liquidity inflows into credits for enterprises. Russia’s main comparative advantage, hydrocarbon export revenues, is not exploited. The type of economy created due to the post-Communist transition means that provided ‘excessive’ liquidity remains in the financial system and is channelled into currency arbitrage. This factor increases exchange rate vulnerability and undermines Russia’s MPA.

Suggested Citation

  • Ilja Viktorov & Alexander Abramov, 2020. "The 2014–15 Financial Crisis in Russia and the Foundations of Weak Monetary Power Autonomy in the International Political Economy," New Political Economy, Taylor & Francis Journals, vol. 25(4), pages 487-510, June.
  • Handle: RePEc:taf:cnpexx:v:25:y:2020:i:4:p:487-510
    DOI: 10.1080/13563467.2019.1613349
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    Cited by:

    1. Astrid Ayala & Szabolcs Blazsek & Adrian Licht, 2022. "Score-driven stochastic seasonality of the Russian rouble: an application case study for the period of 1999 to 2020," Empirical Economics, Springer, vol. 62(5), pages 2179-2203, May.
    2. Aviral Kumar Tiwari & Cleiton Guollo Taufemback & Satish Kumar, 2021. "A Sequential Bayesian Change-Point Analysis of BRICS Currency Returns," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 393-402, June.
    3. Akhtaruzzaman, Md & Boubaker, Sabri & Chiah, Mardy & Zhong, Angel, 2021. "COVID−19 and oil price risk exposure," Finance Research Letters, Elsevier, vol. 42(C).
    4. Mathias Juust, 2021. "Trade Effects Of A Negative Export Shock On Direct Exporters And Wholesalers," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 133, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    5. Yusuf Yıldırım & Anirban Sanyal, 2022. "Evaluating the Effectiveness of Early Warning Indicators: An Application of Receiver Operating Characteristic Curve Approach to Panel Data," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(4), pages 557-597, December.
    6. Dridi, Ichrak & Boughrara, Adel, 2023. "Flexible inflation targeting and stock market volatility: Evidence from emerging market economies," Economic Modelling, Elsevier, vol. 126(C).

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