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Description of Liquidity Needs on the Part of the Russian Banking System Based on the Statistics of Turnovers

Author

Listed:
  • Dedova, M.

    (National Research University Higher School of Economics, Moscow, Russia)

  • Pilnik, N.

    (National Research University Higher School of Economics, Moscow, Russia
    CC RAS, Moscow, Russia)

  • Pospelov, I.

    (CC RAS, Moscow, Russia)

Abstract

The article contains the description of liquidity needs of banks based on statistical balances and turnover subaccounts of Russian banking system. Initial accounts combined into 35 units (which include loans and deposits by macroeconomic agents) are ranked by the rate of turnover. Based on this classification, there is a group of units that characterize the level of liquidity in the banking system. It is shown that the use of information about the turnover of aggregates can significantly extend the class of models, describing the needs of banking system for liquidity. The model is calibrated on monthly data from January 2007 to June 2013. Previously observed regularity, linking volume of loans granted by the banking system and accepted deposits, can be explained by balancing units having turnover rate of the same order.

Suggested Citation

  • Dedova, M. & Pilnik, N. & Pospelov, I., 2014. "Description of Liquidity Needs on the Part of the Russian Banking System Based on the Statistics of Turnovers," Journal of the New Economic Association, New Economic Association, vol. 24(4), pages 87-109.
    • Handle: RePEc:nea:journl:y:2014:i:24:p:87-109
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    References listed on IDEAS

    as
    1. Zuzana Fungácová & Laura Solanko & Laurent Weill, 2010. "Market power in the russian banking industry," International Economics, CEPII research center, issue 124, pages 127-146.
    2. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
    3. Alfonso Rosa García & Hubert Janos Kiss & Ismael Rodríguez Lara, 2009. "Do social networks prevent bank runs?," Working Papers. Serie AD 2009-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Postlewaite, Andrew & Vives, Xavier, 1987. "Bank Runs as an Equilibrium Phenomenon," Journal of Political Economy, University of Chicago Press, vol. 95(3), pages 485-491, June.
    5. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    6. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    7. Андреев М. Ю. & Пильник Н. П. & Поспелов И. Г., 2009. "Моделирование Деятельности Современной Российской Банковской Системы," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 13(2), pages 143-171.
    8. Diaz-Gimenez, Javier & Prescott, Edward C. & Fitzgerald, Terry & Alvarez, Fernando, 1992. "Banking in computable general equilibrium economies," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 533-559.
    9. Fernando Alvarez & Terry J. Fitzgerald, 1992. "Banking in computable general equilibrium economies: technical appendices I and II," Staff Report 155, Federal Reserve Bank of Minneapolis.
    10. Mr. Douglas Laxton & Susanna Mursula & Mr. Michael Kumhof & Mr. Dirk V Muir, 2010. "The Global Integrated Monetary and Fiscal Model (GIMF) – Theoretical Structure," IMF Working Papers 2010/034, International Monetary Fund.
    11. repec:cii:cepiei:2010-4te is not listed on IDEAS
    12. repec:zbw:bofitp:2010_003 is not listed on IDEAS
    13. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
    14. James G. MacKinnon, 2010. "Critical Values For Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
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    More about this item

    Keywords

    higher education; university; reform; education bubble;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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