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Evaluating the Effectiveness of Early Warning Indicators: An Application of Receiver Operating Characteristic Curve Approach to Panel Data

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  • Yildirim, Yusuf
  • Sanyal, Anirban

Abstract

Early warning indicators (EWIs) of banking crises should ideally be judged on how well they function in relation to the choice issue faced by macroprudential policymakers. Several practical features of this challenge are translated into statistical evaluation criteria, including difficulties measuring the costs and advantages of various policy interventions, as well as requirements for the timeliness and stability of EWIs. We analyze the balance panel of possible EWIs for six countries that have experienced currency crisis and banking crisis in recent times. Using possible early warning indicators, we evaluate the suitability of these EWIs in view of their predictive power and stability of signals. The paper observes that credit disbursements to non-financial sectors and central government provides stable signal about systemic risks. Further debt service ratio, inter bank rates and total reserves are also found to be useful in predicting these crisis. Lastly, the paper observes that linear combination of these indicators improves the predictive power of EWIs further.

Suggested Citation

  • Yildirim, Yusuf & Sanyal, Anirban, 2022. "Evaluating the Effectiveness of Early Warning Indicators: An Application of Receiver Operating Characteristic Curve Approach to Panel Data," MPRA Paper 112079, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:112079
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    1. 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.
    2. 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.
    3. Babecký, Jan & Havránek, Tomáš & Matějů, Jakub & Rusnák, Marek & Šmídková, Kateřina & Vašíček, Bořek, 2014. "Banking, debt, and currency crises in developed countries: Stylized facts and early warning indicators," Journal of Financial Stability, Elsevier, vol. 15(C), pages 1-17.
    4. Reinhart, Carmen & Rogoff, Kenneth, 2009. "This Time It’s Different: Eight Centuries of Financial Folly-Preface," MPRA Paper 17451, University Library of Munich, Germany.
    5. 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.
    6. Baker, Stuart G. & Kramer, Barnett S., 2007. "Peirce, Youden, and Receiver Operating Characteristic Curves," The American Statistician, American Statistical Association, vol. 61, pages 343-346, November.
    7. Christian Dembiermont & Mathias Drehmann & Siriporn Muksakunratana, 2013. "How much does the private sector really borrow - a new database for total credit to the private non-financial sector," BIS Quarterly Review, Bank for International Settlements, March.
    8. Reinhart, Carmen & Rogoff, Kenneth, 2009. "This Time It’s Different: Eight Centuries of Financial Folly-Chapter 1," MPRA Paper 17452, University Library of Munich, Germany.
    9. Özgür Orhangazi, 2014. "Capital Flows and Credit Expansions in Turkey," Review of Radical Political Economics, Union for Radical Political Economics, vol. 46(4), pages 509-516, December.
    10. Òscar Jordà & Moritz Schularick & Alan M Taylor, 2011. "Financial Crises, Credit Booms, and External Imbalances: 140 Years of Lessons," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 59(2), pages 340-378, June.
    11. Mark David Witte, 2012. "What Effect Did the Credit Crisis of 2008 Have on European Exchange Rates?," Eastern European Economics, Taylor & Francis Journals, vol. 50(3), pages 79-93, May.
    12. Yu, Wenbao & Park, Taesung, 2015. "Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 15-27.
    13. Ms. Sally Chen & Katsiaryna Svirydzenka, 2021. "Financial Cycles – Early Warning Indicators of Banking Crises?," IMF Working Papers 2021/116, International Monetary Fund.
    14. Joon-Ho Hahm & Hyun Song Shin & Kwanho Shin, 2013. "Noncore Bank Liabilities and Financial Vulnerability," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45, pages 3-36, August.
    15. Detken, Carsten & Peltonen, Tuomas A. & Schudel, Willem & Behn, Markus, 2013. "Setting countercyclical capital buffers based on early warning models: would it work?," Working Paper Series 1604, European Central Bank.
    16. Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
    17. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    18. Pierre-Olivier Gourinchas & Maurice Obstfeld, 2012. "Stories of the Twentieth Century for the Twenty-First," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(1), pages 226-265, January.
    19. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2011. "Anchoring Countercyclical Capital Buffers: The role of Credit Aggregates," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 189-240, December.
    20. 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.
    21. Geršl, Adam & Jašová, Martina, 2018. "Credit-based early warning indicators of banking crises in emerging markets," Economic Systems, Elsevier, vol. 42(1), pages 18-31.
    22. Simone Romano, 2021. "The 2011 Crisis in Italy: A Story of Deep-Rooted (and Still Unresolved) Economic and Political Weaknesses," Springer Books, in: Bettina De Souza Guilherme & Christian Ghymers & Stephany Griffith-Jones & Andrea Ribeiro Hoffmann (ed.), Financial Crisis Management and Democracy, edition 1, chapter 0, pages 173-184, Springer.
    23. Cohen, Jacqueline & Garman, Samuel & Gorr, Wilpen, 2009. "Empirical calibration of time series monitoring methods using receiver operating characteristic curves," International Journal of Forecasting, Elsevier, vol. 25(3), pages 484-497, July.
    24. Travis J. Berge & Òscar Jordà, 2011. "Evaluating the Classification of Economic Activity into Recessions and Expansions," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 246-277, April.
    25. Mathias Drehmann & Claudio Borio & Leonardo Gambacorta & Gabriel Jiminez & Carlos Trucharte, 2010. "Countercyclical capital buffers: exploring options," BIS Working Papers 317, Bank for International Settlements.
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    More about this item

    Keywords

    EWIs; ROC; area under the curve; shrinkage;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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