IDEAS home Printed from https://ideas.repec.org/a/sgh/annals/i55y2019p99-113.html
   My bibliography  Save this article

Wskaźniki wczesnego ostrzegania przed niestabilnością finansową polskiego sektora bankowego

Author

Listed:
  • Marcin Łupiński

    (Lazarski University, Faculty of Economics and Management; National Bank of Poland)

Abstract

W artykule została zaprezentowana sformalizowana procedura wyboru wskaźników wczesnego ostrzegania (WWO) przed niestabilnością finansową krajowego sektora bankowego. Zaproponowane podejście składa się z dwóch etapów. W ramach pierwszego z nich zbiór mikroostrożnościowych szeregów czasowych (obejmujących zebrane w latach 2007–2018 miary adekwatności kapitałowej, ryzyka kredytowego, koncentracji, ryzyka rynkowego i zyskowności) opisujących kondycję finansową grupy największych polskich banków został wykorzystany do określenia prawdopodobieństw ich niewypłacalności. Miary niewypłacalności wspomnianych instytucji finansowych następnie wykorzystano do opracowania indywidualnych wskaźników stabilności. Finalnie przedmiotowe wskaźniki stabilności posłużyły do wyboru z grupy potencjalnych szeregów czasowych (należących do obszaru zmiennych makroekonomicznych, miar charakteryzujących krajowy sektor finansowy i stopień jego powiązania ze światowym systemem finansowym, a także wskaźników cen nieruchomości mieszkaniowych i komercyjnych) wskaźników wczesnego ostrzegania przed niestabilnością finansową polskiego sektora bankowego. Selekcja WWO została dokonana na podstawie wyników estymacji modelu regresji panelowej. Jakość wyprzedzających miar niestabilności (w relacji do referencyjnego wskaźnika luki kredytu w relacji do PKB) zweryfikowano za pomocą statystyki opartej na wielkości pola pod krzywą ROC (AUROC), co pozwoliło ustalić, że jako najbardziej efektywne można traktować wskaźniki luki kredytu udzielonego przez banki w relacji do PKB (wskaźnik odzwierciedlający cykl finansowy) oraz spread stopy zwrotu z 10?letnich obligacji rządowych i stopy WIBOR 3M (wskaźnik ryzyka płynności i ryzyka stopy procentowej). Zgodnie z wiedzą autora, przeprowadzona na potrzeby niniejszego artykułu analiza jest pierwszym badaniem, w ramach którego dla krajowego sektora bankowego opracowano dwuetapową procedurę selekcji makroostrożnościowych wskaźników wczesnego ostrzegania za pomocą modeli panelowej regresji wykorzystujących mikroostrożnościowe wskaźniki stabilności finansowej indywidualnych banków.

Suggested Citation

  • Marcin Łupiński, 2019. "Wskaźniki wczesnego ostrzegania przed niestabilnością finansową polskiego sektora bankowego," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 55, pages 99-113.
  • Handle: RePEc:sgh:annals:i:55:y:2019:p:99-113
    as

    Download full text from publisher

    File URL: http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z55_07.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    2. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    3. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency Crashes in Emerging Markets: Empirical Indicators," Center for International and Development Economics Research (CIDER) Working Papers 233424, University of California-Berkeley, Department of Economics.
    4. Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2015. "Financial Network Systemic Risk Contributions," Review of Finance, European Finance Association, vol. 19(2), pages 685-738.
    5. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency crashes in emerging markets: An empirical treatment," Journal of International Economics, Elsevier, vol. 41(3-4), pages 351-366, November.
    6. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    7. Reinhart, Karmen & Rogoff, Kenneth, 2009. ""This time is different": panorama of eight centuries of financial crises," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 77-114, March.
    8. Drehmann, Mathias & Juselius, Mikael, 2014. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," International Journal of Forecasting, Elsevier, vol. 30(3), pages 759-780.
    9. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    10. Iñaki Aldasoro & Claudio Borio & Mathias Drehmann, 2018. "Early warning indicators of banking crises: expanding the family," BIS Quarterly Review, Bank for International Settlements, March.
    11. Christian Laux & Christian Leuz, 2010. "Did Fair-Value Accounting Contribute to the Financial Crisis?," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 93-118, Winter.
    12. Carmen M. Reinhart & Kenneth S. Rogoff, 2014. "This Time is Different: A Panoramic View of Eight Centuries of Financial Crises," Annals of Economics and Finance, Society for AEF, vol. 15(2), pages 215-268, November.
    13. Jahn, Nadya & Kick, Thomas, 2012. "Early warning indicators for the German banking system: A macroprudential analysis," Discussion Papers 27/2012, Deutsche Bundesbank.
    14. Alter, Adrian & Beyer, Andreas, 2014. "The dynamics of spillover effects during the European sovereign debt turmoil," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 134-153.
    15. Chari, V V & Jagannathan, Ravi, 1988. " Banking Panics, Information, and Rational Expectations Equilibrium," Journal of Finance, American Finance Association, vol. 43(3), pages 749-761, July.
    16. Jean-Charles Rochet, 2008. "Introduction to Why Are There So Many Banking Crises? The Politics and Policy of Bank Regulation," Introductory Chapters, in: Why Are There So Many Banking Crises? The Politics and Policy of Bank Regulation, Princeton University Press.
    17. Bryant, John, 1980. "A model of reserves, bank runs, and deposit insurance," Journal of Banking & Finance, Elsevier, vol. 4(4), pages 335-344, December.
    18. Margaret S. Pepe & Gary Longton & Holly Janes, 2009. "Estimation and comparison of receiver operating characteristic curves," Stata Journal, StataCorp LP, vol. 9(1), pages 1-16, March.
    19. Alessi, Lucia & Detken, Carsten, 2011. "Quasi real time early warning indicators for costly asset price boom/bust cycles: A role for global liquidity," European Journal of Political Economy, Elsevier, vol. 27(3), pages 520-533, September.
    20. Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980.
    21. Mr. Abdul d Abiad, 2003. "Early Warning Systems: A Survey and a Regime-Switching Approach," IMF Working Papers 2003/032, International Monetary Fund.
    22. Jeffrey A. Frankel & George Saravelos, 2010. "Are Leading Indicators of Financial Crises Useful for Assessing Country Vulnerability? Evidence from the 2008-09 Global Crisis," NBER Working Papers 16047, National Bureau of Economic Research, Inc.
    23. Helmut Elsinger & Alfred Lehar & Martin Summer, 2006. "Using Market Information for Banking System Risk Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.
    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. Stijn Claessens & M. Ayhan Kose, 2013. "Financial Crises: Explanations, Types and Implications," CAMA Working Papers 2013-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Irma Alonso & Luis Molina, 2019. "The SHERLOC: an EWS-based index of vulnerability for emerging economies," Working Papers 1946, Banco de España.
    3. Dieckelmann, Daniel, 2020. "Cross-border lending and the international transmission of banking crises," Discussion Papers 2020/13, Free University Berlin, School of Business & Economics.
    4. Christofides, Charis & Eicher, Theo S. & Papageorgiou, Chris, 2016. "Did established Early Warning Signals predict the 2008 crises?," European Economic Review, Elsevier, vol. 81(C), pages 103-114.
    5. Luc Laeven, 2011. "Banking Crises: A Review," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 17-40, December.
    6. Kauko, Karlo, 2014. "How to foresee banking crises? A survey of the empirical literature," Economic Systems, Elsevier, vol. 38(3), pages 289-308.
    7. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
    8. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2018. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," Discussion Papers 48/2018, Deutsche Bundesbank.
    9. Catão, Luis A.V. & Milesi-Ferretti, Gian Maria, 2014. "External liabilities and crises," Journal of International Economics, Elsevier, vol. 94(1), pages 18-32.
    10. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
    11. Anggraeni, Anggraeni & Mongid, Abdul & Suhartono,, 2020. "Prediction Models for Bank Failure: ASEAN Countries," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(2), pages 41-51.
    12. Schüler, Yves S. & Peltonen, Tuomas A. & Hiebert, Paul, 2017. "Coherent financial cycles for G-7 countries: Why extending credit can be an asset," ESRB Working Paper Series 43, European Systemic Risk Board.
    13. Bicaba, Zorobabel & Kapp, Daniel & Molteni, Francesco, 2014. "Stability periods between financial crises: The role of macroeconomic fundamentals and crises management policies," Economic Modelling, Elsevier, vol. 43(C), pages 346-360.
    14. Rakesh Padhan & K. P. Prabheesh, 2019. "Effectiveness Of Early Warning Models: A Critical Review And New Agenda For Future Direction," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(4), pages 457-484, December.
    15. du Plessis, Emile, 2022. "Multinomial modeling methods: Predicting four decades of international banking crises," Economic Systems, Elsevier, vol. 46(2).
    16. Daniela Bragoli & Piero Ganugi & Giancarlo Ianulardo, 2013. "Gini’s transvariation analysis: an application on financial crises in developing countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(1), pages 153-174, February.
    17. Markus Holopainen & Peter Sarlin, 2015. "Toward robust early-warning models: A horse race, ensembles and model uncertainty," Papers 1501.04682, arXiv.org, revised Apr 2016.
    18. Lainà, Patrizio & Nyholm, Juho & Sarlin, Peter, 2015. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Review of Financial Economics, Elsevier, vol. 24(C), pages 18-35.
    19. Lee, Seung Jung & Posenau, Kelly E. & Stebunovs, Viktors, 2020. "The anatomy of financial vulnerabilities and banking crises," Journal of Banking & Finance, Elsevier, vol. 112(C).
    20. Alessi, Lucia & Antunes, Antonio & Babecky, Jan & Baltussen, Simon & Behn, Markus & Bonfim, Diana & Bush, Oliver & Detken, Carsten & Frost, Jon & Guimaraes, Rodrigo & Havranek, Tomas & Joy, Mark & Kau, 2015. "Comparing different early warning systems: Results from a horse race competition among members of the Macro-prudential Research Network," MPRA Paper 62194, University Library of Munich, Germany.

    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:sgh:annals:i:55:y:2019:p:99-113. 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: Michał Bernardelli (email available below). General contact details of provider: https://edirc.repec.org/data/sgwawpl.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.