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Introducing a composite indicator of cyclical systemic risk in Croatia: possibilities and limitations

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  • Tihana Skrinjaric

    (Croatian National Bank, Zagreb, Croatia)

Abstract

This research deals with several approaches to constructing a composite indicator of cyclical systemic risk accumulation with a specific focus on Croatia. Such indicators are important in macroprudential policymaking, in order to track the position of the economy in the financial cycle. Moreover, the countercyclical capital buffer (CCyB) depends on the timely and accurate estimation of cyclical risk accumulation. The credit gap as defined in the BCBS (Basel Committee on Banking Supervision) and the ESRB (European Systemic Risk Board) guidance and recommendation has shown many flaws in practice. Thus, there is a need for improvement of the methodology. That is why this paper deals with the advantages and shortfalls of existing composite indicators of cyclical systemic risks and the possibilities of introducing them in Croatia. This research contributes to a critical overview of the methodological approaches, with suggestions for their improvement, focusing particularly on the specifics of Croatian data.

Suggested Citation

  • Tihana Skrinjaric, 2023. "Introducing a composite indicator of cyclical systemic risk in Croatia: possibilities and limitations," Public Sector Economics, Institute of Public Finance, vol. 47(1), pages 1-39.
    • Handle: RePEc:ipf:psejou:v:47:y:2023:i:1:p:1-39
    DOI: 10.3326/pse.47.1.1
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    1. Brzoza-Brzezina, Michał & Kolasa, Marcin & Makarski, Krzysztof, 2015. "Macroprudential policy and imbalances in the euro area," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 137-154.
    2. Cogley, Timothy & Nason, James M, 1995. "Output Dynamics in Real-Business-Cycle Models," American Economic Review, American Economic Association, vol. 85(3), pages 492-511, June.
    3. Canova, Fabio, 1998. "Detrending and business cycle facts: A user's guide," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 533-540, May.
    4. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
    5. 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.
    6. 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.
    7. Iñaki Aldasoro & Claudio Borio & Mathias Drehmann, 2018. "Early warning indicators of banking crises: expanding the family," BIS Quarterly Review, Bank for International Settlements, March.
    8. Bertrand Candelon & Elena-Ivona Dumitrescu & Christophe Hurlin, 2012. "How to Evaluate an Early-Warning System: Toward a Unified Statistical Framework for Assessing Financial Crises Forecasting Methods," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 60(1), pages 75-113, April.
    9. Christoph Basten, 2020. "Higher Bank Capital Requirements and Mortgage Pricing: Evidence from the Counter-Cyclical Capital Buffer," Review of Finance, European Finance Association, vol. 24(2), pages 453-495.
    10. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    11. Detken, Carsten & Weeken, Olaf & Alessi, Lucia & Bonfim, Diana & Boucinha, Miguel & Castro, Christian & Frontczak, Sebastian & Giordana, Gaston & Giese, Julia & Wildmann, Nadya & Kakes, Jan & Klaus, B, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 5, European Systemic Risk Board.
    12. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    13. Ivan De Lorenzo Buratta, 2022. "How Bad Can Financial Crises Be? A GDP Tail Risk Assessment for Portugal," Working Papers w202204, Banco de Portugal, Economics and Research Department.
    14. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The unreliability of credit-to-GDP ratio gaps in real-time: Implications for countercyclical capital buffers," Finance and Economics Discussion Series 2011-37, Board of Governors of the Federal Reserve System (U.S.).
    15. Gersbach, Hans & Rochet, Jean-Charles, 2017. "Capital regulation and credit fluctuations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 113-124.
    16. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2018. "Diagnostic Expectations and Credit Cycles," Journal of Finance, American Finance Association, vol. 73(1), pages 199-227, February.
    17. Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Revista de Estabilidad Financiera, Banco de España, issue Autumn.
    18. Chen, David Xiao & Friedrich, Christian, 2023. "The countercyclical capital buffer and international bank lending: Evidence from Canada," Journal of International Money and Finance, Elsevier, vol. 139(C).
    19. Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
    20. Mr. Fabio Comelli & Ms. Sumiko Ogawa, 2021. "What Can We Learn from Financial Stability Reports?," IMF Working Papers 2021/200, International Monetary Fund.
    21. Katia Berti & Christian Engelen & Borek Vasicek, 2017. "A macroeconomic perspective on non-performing loans (NPLs)," Quarterly Report on the Euro Area (QREA), Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, vol. 16(1), pages 7-21, March.
    22. Adam Geršl & Jakub Seidler, 2012. "Credit Growth and Countercyclical Capital Buffers: Empirical Evidence from Central and Eastern European Countries," Working Papers IES 2012/3, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2012.
    23. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The Unreliability of Credit-to-GDP Ratio Gaps in Real Time: Implications for Countercyclical Capital Buffers," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 261-298, December.
    24. 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.
    25. Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
    26. Duprey, Thibaut & Klaus, Benjamin, 2017. "How to predict financial stress? An assessment of Markov switching models," Working Paper Series 2057, European Central Bank.
    27. Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
    28. Dilyana Dimova & Ms. Piyabha Kongsamut & Mr. Jerome Vandenbussche, 2016. "Macroprudential Policies in Southeastern Europe," IMF Working Papers 2016/029, International Monetary Fund.
    29. Detken, Carsten & Adalid, Ramón, 2007. "Liquidity shocks and asset price boom/bust cycles," Working Paper Series 732, European Central Bank.
    30. Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Revista de Estabilidad Financiera, Banco de España, issue NOV.
    31. Borio, Claudio, 2014. "The financial cycle and macroeconomics: What have we learnt?," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 182-198.
    32. Christian Castro & Ángel Estrada & Jorge Martínez, 2016. "The countercyclical capital buffer in spain: an analysis of key guiding indicators," Working Papers 1601, Banco de España.
    33. Carsten Detken & Olaf Weeken & Lucia Alessi & Diana Bonfim & Miguel M. Boucinha & Christian Castro & Sebastian Frontczak & Gaston Giordana & Julia Giese & Nadya Jahn & Jan Kakes & Benjamin Klaus & Jan, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 05, European Systemic Risk Board.
    34. David Aikman & Michael T. Kiley & Seung Jung Lee & Michael G. Palumbo & Missaka Warusawitharana, 2015. "Mapping Heat in the U.S. Financial System: A Summary," FEDS Notes 2015-08-05, Board of Governors of the Federal Reserve System (U.S.).
    35. Philip Lowe & Claudio Borio, 2002. "Asset prices, financial and monetary stability: exploring the nexus," BIS Working Papers 114, Bank for International Settlements.
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    More about this item

    Keywords

    cyclical risk; macroprudential policy; composite indicator; systemic risk;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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