IDEAS home Printed from https://ideas.repec.org/a/mnb/bullet/v7y2012i3p38-45.html

Identifying imbalances in the Hungarian banking system (‘early warning’ system)

Author

Listed:
  • Dániel Holló

    (Magyar Nemzeti Bank (central bank of Hungary))

Abstract

The new Hungarian Central Bank Act passed at the end of 2011 delegated macroprudential regulatory powers to the MNB. The essential elements of an effective macro-prudential policy are analytical tools which make it possible to quantify the effects arriving via different systemic risk channels and regulatory instruments which can help in the management of systemic risks. Among the four analytical tools tuned to identify and measure systemic risk (‘early warning’ system, stress tests, contagion models and a system-wide financial stress indicator) two are already in regular use at the MNB (stress tests and the system-wide financial stress indicator), a contagion model is currently under development and the ‘early warning’ system is about to be introduced. This article presents one of the four tools discussed above: the ‘early warning’ system. The ‘early warning’ system may help in the identification of periods characterised by excessive credit growth and the accumulation of critical imbalances on the banking sector’s assets and liabilities side as a result of excessive bank lending (excessive credit growth channel of systemic risk), and may serve as a point of reference for the timing of the introduction of measures named in the new MNB Act to reduce systemic risk (e.g. anti-cyclical capital buffer and other regulatory instruments designed to prevent excessive credit growth). Our results show that excessive imbalances on the asset and liability sides of the Hungarian banking system started to emerge in 2005 Q4; the current problems facing Hungarian banks stem from the large imbalances on the assets and liabilities side (excessive credit growth and significant increase in the share of non-core or secondary liabilities within total liabilities), which characterised the period between 2005 Q4 and 2008 Q4.

Suggested Citation

  • Dániel Holló, 2012. "Identifying imbalances in the Hungarian banking system (‘early warning’ system)," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 7(3), pages 38-45, October.
  • Handle: RePEc:mnb:bullet:v:7:y:2012:i:3:p:38-45
    as

    Download full text from publisher

    File URL: http://www.mnb.hu/letoltes/hollo-eng.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Detken, Carsten & Alessi, Lucia, 2009. "'Real time'early warning indicators for costly asset price boom/bust cycles: a role for global liquidity," Working Paper Series 1039, European Central Bank.
    2. Gergely Kiss & Márton Nagy & Balázs Vonnák, 2006. "Credit Growth in Central and Eastern Europe: Convergence or Boom?," MNB Working Papers 2006/10, Magyar Nemzeti Bank (Central Bank of Hungary).
    3. De Bandt, Olivier & Hartmann, Philipp, 2000. "Systemic risk: A survey," Working Paper Series 35, European Central Bank.
    4. Mr. Fabian Valencia & Mr. Luc Laeven, 2008. "Systemic Banking Crises: A New Database," IMF Working Papers 2008/224, International Monetary Fund.
    5. Reinhart, Carmen M. & Rogoff, Kenneth S., 2013. "Banking crises: An equal opportunity menace," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4557-4573.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michiel Bijlsma & Jeroen Klomp & Sijmen Duineveld, 2010. "Systemic risk in the financial sector; a review and synthesis," CPB Document 210.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Kox, Henk L.M. & Leeuwen, George van, 2012. "Dynamic market selection in EU business services," MPRA Paper 41016, University Library of Munich, Germany.
    3. Jan Babecky & Tomas Havranek & Jakub Mateju & Marek Rusnak & Katerina Smidkova & Borek Vasicek, 2012. "Early Warning Indicators of Economic Crises," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2011/2012, chapter 0, pages 112-117, Czech National Bank, Research and Statistics Department.
    4. Michiel Bijlsma & Wim Suyker, 2008. "The credit crisis and the Dutch economy... in eight frequently asked questions," CPB Memorandum 210.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    5. Douglas Sutherland & Peter Hoeller & Balázs Égert & Oliver Röhn, 2010. "Counter-cyclical Economic Policy," OECD Economics Department Working Papers 760, OECD Publishing.
    6. Luca Agnello & Davide Furceri & Ricardo M. Sousa, 2011. "Fiscal Policy Discretion, Private Spending, and Crisis Episodes," NIPE Working Papers 31/2011, NIPE - Universidade do Minho.
    7. Malgorzata Olszak, 2012. "Macroprudential policy - aim, instruments and institutional architecture (Polityka ostroznosciowa w ujêciu makro - cel, instrumenty i architektura instytucjonalna)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 10(39), pages 7-32.
    8. Smets, Frank & Collard, Fabrice & Boissay, Frédéric, 2013. "Booms and systemic banking crises," Working Paper Series 1514, European Central Bank.
    9. Timothy Bianco & Dieter Gramlich & Mikhail V. Oet & Stephen J. Ong, 2012. "Financial stress index: a lens for supervising the financial system," Working Papers (Old Series) 12-37, Federal Reserve Bank of Cleveland.
    10. Ellis, Scott & Sharma, Satish & Brzeszczyński, Janusz, 2022. "Systemic risk measures and regulatory challenges," Journal of Financial Stability, Elsevier, vol. 61(C).
    11. K. Batu Tunay, 2010. "Banking Crises and Early Warning Systems: A Model Suggestion for Turkish Banking Sector," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 4(1), pages 9-46.
    12. Dungey Mardi & Martin Vance L. & Tang Chrismin & Tremayne Andrew, 2020. "A threshold mixed count time series model: estimation and application," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-18, April.
    13. Luca Agnello & Davide Furceri & Ricardo Sousa, 2013. "Discretionary Government Consumption, Private Domestic Demand, and Crisis Episodes," Open Economies Review, Springer, vol. 24(1), pages 79-100, February.
    14. Jan Babecky & Tomas Havranek & Jakub Mateju & Marek Rusnak & Katerina Smidkova & Borek Vasicek, 2011. "Early Warning Indicators of Economic Crises: Evidence from a Panel of 40 Developed Countries," Working Papers 2011/08, Czech National Bank, Research and Statistics Department.
    15. Nam Kyu Kim, 2018. "Transparency and currency crises," Economics and Politics, Wiley Blackwell, vol. 30(3), pages 394-422, November.
    16. Ureche-Rangau, Loredana & Burietz, Aurore, 2013. "One crisis, two crises…the subprime crisis and the European sovereign debt problems," Economic Modelling, Elsevier, vol. 35(C), pages 35-44.
    17. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    18. Tagkalakis, Athanasios, 2013. "The effects of financial crisis on fiscal positions," European Journal of Political Economy, Elsevier, vol. 29(C), pages 197-213.
    19. Sebnem Kalemli-Ozcan & Elias Papaioannou & José-Luis Peydró, 2013. "Financial Regulation, Financial Globalization, and the Synchronization of Economic Activity," Journal of Finance, American Finance Association, vol. 68(3), pages 1179-1228, June.
    20. Escudero, Verónica, 2009. "Effects of the crisis on the financial sector: Trends and policy issues," MPRA Paper 55759, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mnb:bullet:v:7:y:2012:i:3:p:38-45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Maja Bajcsy The email address of this maintainer does not seem to be valid anymore. Please ask Maja Bajcsy to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.