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Evaluating Indicators for Use in Setting the Countercyclical Capital Buffer

Citations

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Cited by:

  1. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
  2. Yan, Chuanpeng & Huang, Kevin X.D., 2020. "Financial cycle and business cycle: An empirical analysis based on the data from the U.S," Economic Modelling, Elsevier, vol. 93(C), pages 693-701.
  3. Karlo Kauko & Eero Tölö, 2019. "Banking Crisis Prediction with Differenced Relative Credit," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 65(4), pages 277-297.
  4. Mikael Juselius & Nikola Tarashev, 2022. "When uncertainty decouples expected and unexpected losses," BIS Working Papers 995, Bank for International Settlements.
  5. repec:zbw:bofrdp:2022_004 is not listed on IDEAS
  6. Ponomarenko, Alexey & Tatarintsev, Stas, 2023. "Incorporating financial development indicators into early warning systems," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
  7. Martínez, Juan Francisco & Oda, Daniel, 2021. "Characterization of the Chilean financial cycle, early warning indicators and implications for macro-prudential policies," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(1).
  8. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
  9. Petr Jakubik & Bogdan Gabriel Moinescu, 2023. "What is the optimal capital ratio implying a stable European banking system?," International Finance, Wiley Blackwell, vol. 26(3), pages 324-343, December.
  10. Martin Mandler & Michael Scharnagl, 2022. "Financial Cycles in Euro Area Economies: A Cross‐Country Perspective Using Wavelet Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 569-593, June.
  11. Juselius, Mikael & Tarashev, Nikola A., 2020. "Forecasting expected and unexpected losses," Bank of Finland Research Discussion Papers 18/2020, Bank of Finland.
  12. Jylhä, Petri & Lof, Matthijs, 2022. "Mind the Basel gap," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
  13. Tölö, Eero, 2019. "Predicting systemic financial crises with recurrent neural networks," Research Discussion Papers 14/2019, Bank of Finland.
  14. Mandler, Martin & Scharnagl, Michael, 2022. "Financial cycles across G7 economies: A view from wavelet analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
  15. repec:zbw:bofrdp:2019_014 is not listed on IDEAS
  16. Mikael Juselius & Nikola Tarashev, 2022. "When uncertainty decouples expected and unexpected losses," BIS Working Papers 995, Bank for International Settlements.
  17. Truong, Chi & Sheen, Jeffrey & Trück, Stefan & Villafuerte, James, 2022. "Early warning systems using dynamic factor models: An application to Asian economies," Journal of Financial Stability, Elsevier, vol. 58(C).
  18. Li, Xiao-Lin & Yan, Jing & Wei, Xiaohui, 2021. "Dynamic connectedness among monetary policy cycle, financial cycle and business cycle in China," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 640-652.
  19. Lang, Jan Hannes & Izzo, Cosimo & Fahr, Stephan & Ruzicka, Josef, 2019. "Anticipating the bust: a new cyclical systemic risk indicator to assess the likelihood and severity of financial crises," Occasional Paper Series 219, European Central Bank.
  20. Antulov-Fantulin, Nino & Lagravinese, Raffaele & Resce, Giuliano, 2021. "Predicting bankruptcy of local government: A machine learning approach," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 681-699.
  21. Jorge E. Galán, 2021. "CREWS: a CAMELS-based early warning system of systemic risk in the banking sector," Occasional Papers 2132, Banco de España.
  22. Zsuzsanna Hosszu & Gergely Lakos, 2022. "Early Warning Performance of Univariate Credit-to-GDP Gaps," MNB Occasional Papers 2022/142, Magyar Nemzeti Bank (Central Bank of Hungary).
  23. Yang, Jin Young & Suh, Hyunduk, 2023. "Heterogeneous effects of macroprudential policies on firm leverage and value," International Review of Financial Analysis, Elsevier, vol. 86(C).
  24. Tölö, Eero & Virén, Matti, 2021. "How much do non-performing loans hinder loan growth in Europe?," European Economic Review, Elsevier, vol. 136(C).
  25. De Nora, Giorgia & Pereira, Ana & Pirovano, Mara & Stammwitz, Florian, 2025. "From losses to buffer - calibrating the positive neutral CCyB rate in the euro area," Working Paper Series 3061, European Central Bank.
  26. Tihana Skrinjaric & Maja Bukovsak, 2022. "Improving The Calibration Of Countercyclical Capital Buffer: New Indicators Of Credit Gap In Croatia," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 31(2), pages 541-568, december.
  27. Maarten R.C. Van Oordt, 2023. "Calibrating the Magnitude of the Countercyclical Capital Buffer Using Market‐Based Stress Tests," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(2-3), pages 465-501, March.
  28. Mikael Juselius & Nikola Tarashev, 2020. "Forecasting expected and unexpected losses," BIS Working Papers 913, Bank for International Settlements.
  29. Alexandr Patalaha & Maria A. Shchepeleva, 2023. "Bank Crisis Management Policies and the New Instability," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 43-60, December.
  30. repec:zbw:bofrdp:2020_018 is not listed on IDEAS
  31. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2018. "Can bubble theory foresee banking crises?," Journal of Financial Stability, Elsevier, vol. 36(C), pages 66-81.
  32. Nyholm, Juho & Voutilainen, Ville, 2021. "Quantiles of growth: Household debt and growth vulnerabilities in Finland," BoF Economics Review 2/2021, Bank of Finland.
  33. Tihana Skrinjaric, 2023. "Leading indicators of financial stress in Croatia: a regime switching approach," Public Sector Economics, Institute of Public Finance, vol. 47(2), pages 205-232.
  34. Jorge E. Galán & Javier Mencía, 2021. "Model-based indicators for the identification of cyclical systemic risk," Empirical Economics, Springer, vol. 61(6), pages 3179-3211, December.
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