Public Sector Economics

1261
Views



144
Downloads

Leading indicators of financial stress in Croatia: a regime switching approach



Tihana Škrinjarić*
Article   |   Year:  2023   |   Pages:  205 - 232   |   Volume:  47   |   Issue:  2
Received:  June 1, 2022   |   Accepted:  November 21, 2022   |   Published online:  June 12, 2023
Download citation        https://doi.org/10.3326/pse.47.2.3       


  1. Adalid, R. and Detken, C., 2007. Liquidity shocks and asset price boom/bust cycles. ECB Working Paper, No. 732 [CrossRef]

  2. Adrian, T., Boyarchenko, N. and Giannone, D., 2019. Vulnerable growth. American Economic Review, 109(4), pp. 1263-1289 [CrossRef]

  3. Aldasoro, I., Borio, C. and Drehmann, M., 2018. Early warning indicators of banking crises: expanding the family. BIS Quarterly Review, March 2018.

  4. Alessandri, P. [et al.], 2015. A note on the implementation of a Countercyclical Capital Buffer in Italy. Bank of Italy Occasional Paper, No. 278 [CrossRef]

  5. Alessi, L. and Detken, C., 2019. Identifying excessive credit growth and leverage. Journal of Financial Stability, 35, pp. 215-225 [CrossRef]

  6. Ang, A. and Bekaert, G., 2002a. Short Rate Nonlinearities and Regime Switches. Journal of Economic Dynamics and Control, 26, pp. 1243-1274 [CrossRef]

  7. Ang, A. and Bekaert, G., 2002b. International Asset allocation With Regime Shifts. Review of Financial Studies, 15, pp. 1137-1187 [CrossRef]

  8. Ang, A. and Timmermann, A., 2012. Regime changes and financial markets. Annual Review of Financial Economics, 4, pp. 313-337 [CrossRef]

  9. Anundsen, A. K. [et al.], 2016. Bubbles and crises: The role of house prices and credit. Journal of Applied Econometrics, 31, pp. 1291-1311 [CrossRef]

  10. Arbatli-Saxegaard, E. C. and Muneer, M. A., 2020. The countercyclical capital buffer: A cross-country overview of policy frameworks. Staff memo, No. 6.

  11. Babecký, J. [et al.], 2014. Banking, Debt, and Currency Crises in Developed Countries: Stylized Facts and Early Warning Indicators. Journal of Financial Stability, 15, pp. 1-17 [CrossRef]

  12. Baele, L., 2003. Volatility Spillover Effects in European Equity Markets: Evidence from a Regime-Switching Model. Ghent University, Working paper, No. 189.

  13. Bambulović, M. and Valdec, M., 2020. Testing the characteristics of macroprudential policies’ differential impact on foreign and domestic banks’ lending in Croatia. Public Sector Economics, 44(2), 221-249 [CrossRef]

  14. Behn, M. [et al.], 2013. Setting Countercyclical Capital Buffers Based on Early Warning Models: Would It Work? ECB Working Paper, No. 1604.

  15. Bloom, N., 2009. The Impact of Uncertainty Shocks. Econometrica, 77(3), pp. 623-685 [CrossRef]

  16. Bonfim, D. and Monteiro, N., 2013. The Implementation of the Countercyclical Capital Buffer: Rules versus Discretion. Financial Stability Report (November), pp. 87-110.

  17. Borio, C. and Drehmann, M., 2009. Assessing the Risk of Banking Crises - Revisited. BIS Quarterly Review, (March), pp. 29-46.

  18. Borio, C. and Lowe, P., 2002. Asset prices, financial and monetary stability: exploring the nexus. BIS Working Papers, No 114 [CrossRef]

  19. Borio, C., 2012. The Financial Cycle and the Marco-economy: What have we learnt. BIS Working Paper Series, No. 395.

  20. Candelon, B., Dumitrescu, E-I. and Hurlin, C., 2012. How to Evaluate an Early-Warning System: Toward a Unified Statistical Framework for Assessing Financial Crises Forecasting Methods. IMF Economic Review, 60, pp. 75-113  [CrossRef]

  21. Cardarelli, R., Elekdag, S. and Lall, S., 2011. Financial stress and economic contractions. Journal of Financial Stability, 7(2), pp. 78-97 [CrossRef]

  22. Chavleishvili, S. and Manganelli, S., 2019. Forecasting and stress testing with quantile vector autoregression. ECB Working Paper, No. 2330 [CrossRef]

  23. Christensen, I. and Li, F., 2014. Predicting financial stress events: a signal extraction approach. Journal of Financial Stability, 14, pp. 54-65 [CrossRef]

  24. Claessens, S., 2009. Discussion of Credit, asset prices, and financial stress. International Journal of Central Banking, pp. 123-129.

  25. CNB, 2022a. Statistical data. Zagreb: Croatian National Bank.

  26. CNB, 2022b. Macroprudential diagnostics, No. 16. Zagreb: Croatian National Bank.

  27. Davis, E. P. and Karim, D., 2008. Comparing early warning systems for banking crises. Journal of Financial Stability, 4(2), pp. 89-120 [CrossRef]

  28. Detken, C. [et al.], 2014. Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options. ESRB Occasional Paper, No. 2014/5 [CrossRef]

  29. Dimova, D., Kongsamut, P. and Vandenbussche, J., 2016. Macroprudential Policies in Southeastern Europe. Working Paper, No. 16/29 [CrossRef]

  30. Doz, C., L. Ferrara and P. Pionnier, 2020. Business cycle dynamics after the Great Recession: An extended Markov-Switching Dynamic Factor Model. OECD Statistics Working Papers, No. 2020/01 [CrossRef]

  31. Drehmann, M. [et al.], 2010. Countercyclical capital buffers: exploring options. BIS Working Papers, No. 317 [CrossRef]

  32. Drehmann, M. and Juselius, M., 2012. Do debt service costs affect macroeconomic and financial stability? BIS Quarterly Review, September 2012.

  33. Drehmann, M. and Juselius, M., 2014. Evaluating early warning indicators of banking crises: Satisfying policy requirements. International Journal of Forecasting, 30(3), pp. 759-780 [CrossRef]

  34. Dumičić, M., 2015a. Financial stress indicators for small, open, highly euroized countries: the case of Croatia. Financial Theory and Practice, 39(2), pp. 171-203 [CrossRef]

  35. Dumičić, M., 2015b. Financial Stability Indicators – The Case of Croatia. Journal of Central Banking Theory and Practice, (1), pp. 113-140 [CrossRef]

  36. Duprey, T. and Klaus, B., 2017. How to predict financial stress? An assessment of Markov switching models. ECB Working Paper, No. 205 [CrossRef]

  37. Duprey, T. and Klaus, B., 2022. Early warning or too late? A (pseudo-) real-time identification of leading indicators of financial stress. Journal of Banking and Finance, 138, 106196 [CrossRef]

  38. Duraković, E., 2021. Croatian Systemic Stress Index. CNB Working Paper, No. I-61.

  39. ECB, 2017. A new database for financial crises in European countries. ECB/ESRB EU crises database. ECB Occasional Paper Series, No. 194.

  40. ESRB 2018. The ESRB handbook on operationalising macroprudential policy in the banking sector. European Systemic Risk Board.

  41. ESRB, 2014. Recommendation of the European Systemic Risk Board of 18 June 2014 on guidance for setting countercyclical buffer rats (ESRB/2014/1). Official Journal of the European Union C 293/1.

  42. Franses, P. H. and van Dijk, D., 2000. Nonlinear time series models in empirical finance. Cambridge: Cambridge University Press [CrossRef]

  43. Galac, T., 2010. The Central Bank as Crisis Manager in Croatia - A Counterfactual Analysis. Croatian National Bank Working Paper, W -27.

  44. Galán, J. E., 2019. Measuring Credit-to-GDP Gaps. The Hodrick-Prescott Filter Revisited. Documentos de Trabajo, No. 1906 [CrossRef]

  45. Galati, G. [et al.], 2016. Measuring financial cycles in a model-based analysis: Empirical evidence for the United States and the Euro Area. Economics Letters, 145, pp. 83-87 [CrossRef]

  46. Giese, J. [et al.], 2014. The credit-to GDP gap and complementary indicator for macroprudential policy: evidence from the UK. International journal of finance and economics, 19(1), pp. 25-47 [CrossRef]

  47. Giglio, S., Bryan, K. and Pruitt, S., 2016. Systemic Risk and the Macroeconomy: An Empirical Evaluation. Journal of Financial Economics, 119(3), pp. 457-471 [CrossRef]

  48. Gneitinga, T. and Ranjanb, R., 2011. Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules. Journal of Business and Economic Statistics, 29(3), pp. 411-422 [CrossRef]

  49. Gray, S. F., 1996. Modeling the Conditional Distribution of Interest Rates as a Regime-Switching Process. Journal of Financial Economics, 42, pp. 27-62 [CrossRef]

  50. Hanschel, E. and Monnin, P., 2005. Measuring and Forecasting Stress in the Banking Sector: Evidence from Switzerland. BIS Papers, No. 22, pp. 431-449.

  51. Hodrick, R. and Prescott, E., 1997. Postwar U.S. Business Cycles. An Empirical Investigation. Journal of Money, Credit, and Banking, 29, pp. 1-16 [CrossRef]

  52. Holló, D., Kremer, M. and Lo Duca, M., 2012. CISS – A composite indicator of systemic stress in the financial system. ECB Working Paper Series, No. 1426.

  53. Hubrich, K. and Tetlow, R., 2015. Financial stress and economic dynamics: The transmission of crises. Journal of Monetary Economics, 70(C), pp. 100-115 [CrossRef]

  54. Jordá, O., Schularick, O. and Taylor, A. M., 2015. Leveraged Bubbles. Journal of Monetary Economics, 76(Supplement), pp. S1-S20 [CrossRef]

  55. Kaminsky, G. L. and Reinhart, C. M., 1999. The Twin Crises: The Causes of Banking and Balance-of-Payments Problems. American Economic Review, 89(3), pp. 473-500 [CrossRef]

  56. Kauko, K., 2014. How to foresee banking crises? A survey of the empirical literature. Economic Systems, 38(3), pp. pp. 289-308 [CrossRef]

  57. Kim, C-J., 1994. Dynamic Linear Models with Markow-Switching. Journal of Econometrics, 60, pp. 1-22 [CrossRef]

  58. Klomp, J., 2010. Causes of banking crises revisited. The North American Journal of Economics and Finance, 21(12), pp. 72-87 [CrossRef]

  59. Kraft, E. and Galac, T., 2011. Macroprudential Regulation of Credit Booms and Busts, The Case of Croatia. Policy Research Working Paper, No. 5772 [CrossRef]

  60. Kupkovič, P. and Šuster, M., 2020. Identifying the Financial Cycle in Slovakia. NBS working papers, No 2/2020.

  61. Laeven, L. and Valencia, F., 2008. Systemic Banking Crises: A New Database. IMF Working Paper, No. WP/08/224 [CrossRef]

  62. Laina, P., Nyholm, J. and Sarlin, P., 2015. Leading Indicators of Systemic Banking Crises: Finland in a Panel of EU Countries. Review of Financial Economics, 24, pp. 18-35 [CrossRef]

  63. Lang, J-H. [et al.], 2019. Anticipating the bust: a new cyclical systemic risk indicator to assess the likelihood and severity of financial crises. Occasional Paper Series, No. 219  [CrossRef]

  64. Lo Duca, M. [et al.], 2017. A new database for financial crises in European countries. Occasional paper series, No. 194 [CrossRef]

  65. Lo Duca, M. and Peltonen, T., 2011. Macrofinancial vulnerabilities and future financial stress: assessing systemic risks and predicting systemic events. Macroprudential regulation and policy, 60, pp. 82-88 [CrossRef]

  66. Lombardi, M. J., Mohatny, M. and Shim, I., 2017. The real effects of household debt in the short and long run. BIS working paper, No 607.

  67. Misina, M. and Tkacz, G., 2009. Credit, asset prices, and financial stress. International Journal of Central Banking, 5, pp. 95-122.

  68. O'Brien, M. and Wosser, M., 2021. Growth at Risk & Financial Stability. Financial stability notes, 2021(2).

  69. Pfeifer, L. and Hodula, M., 2018. A profit-to-provisioning approach to setting the countercyclical capital buffer: the Czech example. CNB working paper, No. 5/2018 [CrossRef]

  70. Pietrzak, M., 2021. Can Financial Soundness Indicators Help Predict Financial Sector Distress? IMF Working Paper, No. WP/21/197 [CrossRef]

  71. Plagborg-Moller, M. [et al.], 2020. When is growth at risk? Brookings Papers on Economic Activity, (Spring), pp. 167-229 [CrossRef]

  72. Reinhart, C. M. and Rogoff, K. S., 2009. This Time Is Different: Eight Centuries of Financial Folly. Princeton University Press [CrossRef]

  73. Rychtarik, Š., 2014. Analytical background for the counter-cyclical capital buffer decisions in Slovakia. Ročník, 22(4), pp. 10-15.

  74. Schularick, M. and Taylor, A. M., 2012. Credit booms gone bust: monetary policy, leverage cycles, and financial crises, 1870-2008. The American Economic Review, 1022, pp. 1029-1061 [CrossRef]

  75. Schüler, Y., 2018. Detrending and financial cycle facts across G7 countries: mind a spurious medium term! ECB Working Paper Series, No. 2138 [CrossRef]

  76. Slingenberg, J. W. and de Haan, J., 2011. Forecasting Financial Stress. De Nederlandsche Bank Working Paper, No. 292 [CrossRef]

  77. Škrinjarić, T., 2022. Macroeconomic effects of systemic stress: a rolling spillover index approach. Public Sector Finance, 46(1), pp. 109-140 [CrossRef]

  78. Tölö, E., Laakkonen, H. and Kalatie, S., 2018. Evaluating Indicators for Use in Setting the Countercyclical Capital Buffer. International Journal of Central Banking, 142, pp. 51-111.

  79. Vašiček, B. [et al.], 2017. Leading indicators of financial stress: new evidence. Journal of Financial Stability, 28, pp. 240-257 [CrossRef]

  80. Vermeulen, R. [et al.], 2015. Financial Stress Indices and Financial Crises. Open Economies Review, 26(3), pp. 383-406.

  81. Vujčić, B. and Dumičić, M., 2016. Managing Systemic Risks in the Croatian Economy. BIS Paper, No. 861.

  82. Wezel, T., 2019. Conceptual Issues in Calibrating the Basel III Countercyclical Capital Buffer. IMF Working paper, No. 2019/086.

  June, 2023
II/2023

In order to give you a better user experience, cookies have been stored on your computer.
Accept cookie     More information