Drenkovska, Marija and Lenarčič, Črt (2025): Financial markets stress indicator for Slovenia (FIMSIS).
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Abstract
The Global Financial Crisis (GFC) highlighted the importance of early identification of systemic financial stress and timely macroprudential policy responses. In this context, financial stress indices have become essential tools for monitoring systemic risk in real time. While composite indicators exist for the euro area and several member states, Slovenia has lacked such a measure, primarily due to limited financial market depth and data constraints. This paper introduces the Financial Markets Stress Indicator for Slovenia (FIMSIS), the first composite financial stress indicator developed specifically for the Slovenian financial system. FIMSIS aggregates volatility-based indicators across market segments using three alternative approaches - exponentially weighted moving average (EWMA), multivariate GARCH (BEKK) and principal component analysis (PCA) - allowing for a comparative evaluation of aggregation techniques. The indicator captures both the intensity and systemic dimension of financial stress and is evaluated through robustness checks and regime classification using a Markov-switching model. To assess predictive performance, we apply a Growth-at-Risk framework with Adaptive LASSO and non-crossing constraints. Results confirm FIMSIS's relevance for signalling downside macroeconomic risk.
Item Type: | MPRA Paper |
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Original Title: | Financial markets stress indicator for Slovenia (FIMSIS) |
Language: | English |
Keywords: | financial systemic stress, financial stress indicator, financial stability, financial system, macroprudential policy |
Subjects: | E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy G - Financial Economics > G0 - General > G01 - Financial Crises G - Financial Economics > G1 - General Financial Markets > G10 - General G - Financial Economics > G2 - Financial Institutions and Services > G20 - General |
Item ID: | 125551 |
Depositing User: | Dr Crt Lenarcic |
Date Deposited: | 01 Aug 2025 13:24 |
Last Modified: | 01 Aug 2025 13:24 |
References: | 1. Acharya, V. V., and Skeie, D. (2011). A model of liquidity hoarding and term premia in inter-bank market. Journal of Monetary Economics, 58 (5), 436-447. 2. Ahir, H., Dell'Ariccia, G., Furceri, D., Papageorgiou, C., and Qi, H. (2023). Financial stress and economic activity: Evidence from a new worldwide index. IMF Working Papers, WP/23/217. 3. Allen, D. E., Amram, R., and McAleer, M. (2013). Volatility spillovers from the Chinese stock market to economic neighbours. Mathematics and Computers in Simulation (MATCOM), 94 (C), 238-257. 4. Altavilla, C., Brugnolini, L., G�urkaynak, R. S., Motto, R., and Ragusa, G. (2019). Measuring euro area monetary policy. Journal of Monetary Economics, 108 (C), 162-179. 5. Ang, A. and Bekaert, G. (2002). Regime switches in interest rates. Journal of Business and Economic Statistics, 20 (2), 163-182. 6. Baele, L. (2005). Volatility spillover effects in European equity markets. Journal of Financial and Quantitative Analysis, 40 (2), 373-401. 7. Balakrishnan, R., Danninger, S., Elekdag, S. and Tytell I. (2009). The transmission of financial stress from advanced to emerging Economies. IMF Working Paper, WP/09/133. 8. Banka Slovenije. (2023). Review of macroeconomic developments and projections, June 2023. Banka Slovenije. 9. Bekaert, G., and Harvey, C. R. (2000). Foreign speculators and emerging equity markets. Journal of Finance, 55 (2), 565-613. 10. Bernanke, B. S., and Gertler, M. (1995). Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9 (4), 27-48. 11. Bernanke, B. S., Gertler, M. and Gilchrist, S. (1999). The financial accelerator in a quantitative business cycle framework, ch. 21, 1341-1393 in Taylor, J. B. and Woodford, M., (eds.) Handbook of Macroeconomics, vol. 1, Part C, Elsevier. 12. Bernanke, B. S., and Lown, C. S. (1991). The credit crunch. Brookings Papers on Economic Activity, 22 (2), 205-248. 13. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31 (3), 307-327. 14. Brave, S., and Butters, R. A. (2010). Gathering insights on the forest from the trees: A new metric for financial conditions. Federal Reserve Bank of Chicago, Working Paper Series WP-2010-07. 15. Brave, S., and Butters, R. A. (2011). Monitoring financial stability: a financial conditions index approach. Economic Perspectives, 35(Q I), 22-43. 16. Brooks, C. (2008). Introductory econometrics for finance. Cambridge university press. 17. Budnik, K. B., and Kleibl, J. (2018). Macroprudential regulation in the European Union in 1995-2014: Introducing a new data set on policy actions of a macroprudential nature. ECB Working Paper Series, No. 2123. 18. Cabrera, W., Hurtado, J., Morales, M., and Rojas, J. S. (2014). A Composite Indicator of Systemic Stress (CISS) for Colombia. Borrdores de Economia 011697, Banco de la Republica. 19. Caporin, M., and McAleer, M. (2012). Do we really need both BEKK and DCC? A tale of two multivariate GARCH models. Journal of Economic Surveys, 26 (4), 736-751. 20. Caramazza, F., Ricci, L., and Salgado, R. (2000). Trade and financial contagion in currency crises. IMF Working Paper WP/00/55. 21. Cardarelli, R., Elekdag, S., and Lall, S. (2009). Financial stress, downturns, and recoveries. IMF Working Paper, WP/09/100. 22. Chadwick, M. G., and Ozturk, H. (2019). Measuring financial systemic stress for Turkey: A search for the best composite indicator. Economic Systems, 43 (1), 151- 172. 23. Claessens, S., Kose, M. A., and Terrones, M. E. (2011). What happens during recessions, crunches and busts? Economic Policy, 24 (60), 653-700. 24. Claessens, S., Kose, M. A., and Terrones, M. E. (2012). How do business and financial cycles interact? Journal of International Economics, 87 (1), 178-190. 25. Corsetti, G., Pesenti, P., and Roubini, N. (1999). What caused the Asian currency and financial crisis? Japan and the World Economy, 11 (3), 305-373. 26. Craig, R. S., Davis, E. P., and Garcia, A. (2005). Sources of procyclicality in East Asian financial systems. In Gerlach, S., and Gruenwald, P., (eds.) Procyclicality of Financial Systems in Asia. Palgrave McMillan. 27. Davis, E. P., and Karim, D. (2008). Comparing early warning systems for banking crises. Journal of Financial Stability, 4 (2), 89-120. 28. De Bandt, O., and Hartmann, P. (2000). Systemic risk: A survey. ECB Working Paper, No. 0035. 29. De Bandt, O., Hartmann, P., and Peydro, J.-L. (2009). Systemic risk in banking: An update, in Berger, A., Molyneux, P., and Wilson, J., (eds.) Oxford Handbook of Banking, Oxford University Press. 30. Demirguc-Kunt, A., and Detragiache, E. (1998). The determinants of banking crises in developed and developing countries. IMF Staff Paper, 45 (1), 81-109. 31. De Nora, G., O'Brien, E., and O'Brien, M. (2020). Releasing the CCyB to support the economy in a time of stress. Central Bank of Ireland Financial Stability Notes 1/FS/20. 32. Ding, Z., and Engle, R. F. (2001). Large scale conditional covariance matrix modeling, estimation and testing. NYU Working Paper No. S-DRP-01-07. 33. Dornbusch, R. (1978). Monetary policy under exchange rate flexibility. In Managed Exchange-rate Flexibility: The Recent Experience. Federal Reserve Bank of Boston Conference Series, 20. 34. Drenkovska, M., and Volcjak, R. (2022). Growth-at-Risk and financial stability: Concept and application for Slovenia. Banka Slovenije Discussion Papers, No. 5. 35. Drenkovska, M.(2025). A Consistent Macroprudential Policy Index and Its Application to Slovenia's Stance Estimation. Mimeo. 36. Dumicic, M. (2015). Financial stress indicators for small, open, highly euroized countries: the case of Croatia. Financial Theory and Practice, 39 (2), 171-203. 37. Duprey, T., Klaus, B., and Peltonen, T. (2017). Dating systemic financial stress episodes in the EU countries. Journal of Financial Stability, 32 (C), 30-56. 38. Durakovic, E. (2021). Hrvatski indeks sistemskog stresa (HISS) (prosireni sazetak). Istrazivanje br. 61, Hrvatska narodna banka. 39. ECB. (2009). Special Feature B: The concept of systemic risk. Financial Stability Review, December, 134-142. European Central Bank (ECB). 40. ECB. (2011). Financial integration in Europe, May 2011. European Central Bank (ECB). 41. Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50 (4), 987-1007. 42. Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics 20 (3), 339-350. 43. Engle, R., and Kroner, F. K. (1995). Multivariate simultaneous generalized ARCH. Econometric Theory, 11 (1), 122-150. 44. Ergungor, E., and James, T. (2005). Systemic banking crises. Policy Discussion Papers. Federal Reserve Bank of Cleveland, 9. 45. ESRB. (2021). A framework for assessing macroprudential stance. Report of the Expert Group on Macroprudential Stance - Phase II (implementation). European Systemic Risk Board. 46. ESRB. (2024). Improvements to the ESRB macroprudential stance framework. Report by the Contact Group on Macroprudential Stance of the ESRB's Instruments Working Group (IWG). European Systemic Risk Board. 47. Frankel, J., and Rose, A. (1996). Currency crashes in emerging markets: an empirical treatment. Journal of International Economics, 41 (3-4), 351-366. 48. Frenkel, J. A. (1981). Flexible exchange rates, prices, and the role of »news": Lessons from the 1970s. Journal of Political Economy, 89 (4), 665-705. 49. Gadanecz, B., and Kaushik, J. (2008). Measures of financial stability - A review. Irving Fisher Committee Bulletin, 31, 365-383. 50. Garcia-de-Andoain, C., and Kremer, M. (2017). Beyond spreads: Measuring sovereign market stress in the Euro Area. Economics Letters, 159 (C), 153-156. 51. Gersl, A., and Hermanek, J. (2007), Financial stability indicators: Advantages and disadvantages of their use in the assessment of financial system stability, ch. Thematic Article 2, 69-79, in CNB Financial Stability Report 2006, Czech National Bank. 52. Gneiting, T., and Ranjan, R. (2011). Comparing density forecasts using thresholdand quantile-weighted scoring rules. Journal of Business & Economic Statistics, 29 (3), 411-422. 53. Hakkio, S. C., and Keeton, W. R. (2009). Financial stress: what is it, how can it be measured, and why does it matter? Economic Review, 94(Q II), 5-50. 54. Hamilton, J. D. (1994). Time series analysis. Princeton University Press. 55. Heider, F., Hoerova, M., and Holthausen, C. (2015). Liquidity hoarding and interbank market spreads: The role of counterparty risk. Journal of Financial Economics, 118 (2), 336-354. 56. Hollo, 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. 57. Holthausen, C., and Pill, H. (2010). The forgotten markets: how understanding money markets helps us to understand the financial crisis. ECB Research Bulletin, 9, 2-5. 58. Iachini, E., and Nobili, S. (2014). An indicator of systemic liquidity risk in the Italian financial markets. Banca d'Italia Occasional Paper 217. 59. Illing, M., and Liu, Y. (2006). Measuring financial stress in a developed country: An application to Canada. Journal of Financial Stability, 2 (3), 243-265. 60. IMF. (2006). World Economic Outlook, September 2006: How do financial systems affect economic cycles? World Economic and Financial Surveys. 61. IMF. (2009). Republic of Slovenia: Selected issues. IMF Staff Country Reports, 09/160. 62. IMF. (2023). Regional Economic Outlook. Middle East and Central Asia: building resilience and fostering sustainable growth. International Monetary Fund. 63. IMF-BIS-FSB. (2009). Guidance to assess the systemic importance of financial institutions, markets and instruments: Initial considerations. Report to the G-20 Finance Ministers and Central Bank Governors, prepared by staff of the International Monetary Fund and the Bank for International Settlements, and the Secretariat of the Financial Stability Board, October. 64. Ismail, N., Isa, M. A. M., Mazlan, N. F., and Rahman, N. H. A. (2019). Banking fragility and financial crisis: Evidence from Southeast Asia. Insight Journal, 3 (12), 149-160. 65. Jakubik, P., and Slacik, T. (2013). Measuring financial (in)stability in emerging Europe: A new index-based approach. Oesterreichische Nationalbank, Financial Stability Report, 25, 102-117. 66. Jones, P. M., and Olson, E. (2012). The time-varying correlation between uncertainty, output, and inflation: Evidence from a DCC-GARCH model. Economic Letters, 118 (1), 33-37. 67. Kaminsky, G., Lizondo, S., and Reinhart, C. (1998). Leading indicators of currency crises. IMF Staff Papers, 45 (1), 1-48. 68. Kashyap, A. K., and Stein, J. C. (1995). The impact of monetary policy on bank balance sheets. Carnegie-Rochester Conference Series on Public Policy, 42 (1), 151-195. 69. Kindleberger, C. P., and Aliber, R. Z. (2005). Manias, panics and crashes: A history of financial crises. John Wiley & Sons. 70. Kiyotaki, N., and Moore, J. (1997). Credit cycles. Journal of Political Economy, 105 (2), 211-248. 71. Kliesen, K. L., Owyang, M. T., and Vermann, E. K. (2012). Disentangling diverse measures: A survey of Financial Stress Indexes. Review, 94 (5), 369-398. 72. Kliesen, K. L., and Smith, D. C. (2010). Measuring financial market stress. Federal Reserve Bank of St. Louis, Economic Synopses, No. 2. 73. Kohns, D., and Szendrei, T. (2024). Horseshoe prior Bayesian quantile regression. Journal of the Royal Statistical Society Series C: Applied Statistics, 73 (1), 193-220. 74. Kota, V., and Saqe, A. (2013). A financial systemic stress index for Albania. Bank of Albania Working Paper, 03 (42) 2013. 75. Lang, J. H., Izzo, C., Fahr, S., and Ruzicka, J. (2019). Anticipating the bust: A new cyclical systemic risk indicator to assess the likelihood and severity of financial crises. ECB Occasional Paper Series, No. 219. 76. Lawrence, M., Homer-Dixon, T., Janzwood, S., Rockst�om, J., Renn, O., and Donges, J. F. (2024). Global polycrisis: the causal mechanisms of crisis entanglement. Global Sustainability, 7 (6), 1-16. 77. Levine, R., and Zervos, S. (1998). Stock markets, banks, and economic growth. The American Economic Review, 88 (3), 537-558. 78. Louzis, D. P., and Vouldis, A. T. (2012). A methodology for constructing a financial systemic stress index: An application to Greece. Economic Modelling, 29 (4), 1228-1241. 79. Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7 (1), 77-91. 80. McMillan, D.G., and Kambouridis, D. (2009). Are RiskMetrics good enough? Evidence from 31 stock markets. International Review of Financial Analysis, 18 (3), 117-124. 81. Mishkin, F. S. (1992). Asymmetric information and financial crises: a historical perspective. In: Hubbard, R. G., (ed.) Financial Markets and Financial Crises. University of Chicago Press, Chicago, 69-108. 82. Oet, M., Eiben, R., Bianco, T., Gramlich, D., and Ong, S. (2011). The financial stress index: identification of systemic risk conditions. Federal Reserve Bank of Cleveland Working paper, 1130. 83. OECD. (2008). Handbook on constructing composite Indicators. Organization for Economic Co-operation and Development. 84. Pierre-Olivier, G., Martin, P., and Messer, T. (2022). The economics of sovereign debt, bailouts and the Eurozone crisis. International Finance Discussion Papers 1351, Board of Governors of the Federal Reserve System (U.S.). 85. Patel, S. A., and Sarkar, A. (1998). Crises in developed and emerging stock markets (Digest Summary). Financial Analysts Journal 54 (6), 50-61. 86. Pati, P. C., Barai, P., and Rajib, P. (2018). Forecasting stock market volatility and information content of implied volatility index. Applied Economics, 50 (23), 2552-2568. 87. Radovan, J. (2023). An analysis of business cycle fluctuations in Slovenia and the Euro Area. Banka Slovenije Working Papers 03/2023. 88. Rajan, R., and Zingales, L. (2003). Banks and markets: the changing character of European finance. CEPR Discussion Papers, No. 3865. 89. Reinhart, C. M., and Rogoff, K. S. (2009). This time is different. Princeton University Press, Oxford. 90. Romer, C., and Romer, D. (2017). New evidence on the aftermath of financial crises in advanced countries. American Economic Review, 107 (10), 3072-3118. 91. Saibal, G. (2011). A simple index of banking fragility: Application to Indian data. Journal of Risk Finance, 12 (2), 112-120. 92. Sahajwala, R., and Van den Bergh, P. (2000). Supervisory risk assessment and early warning systems. Basel Committee on Banking Supervision Working Paper No. 4, BIS. 93. Segoviano, M. A., and Goodhart, C. A. E. (2009). Banking stability measures. IMF Working Paper, WP/09/04. 94. Spanos, A. (1999). Probability theory and statistical inference. Econometric modeling with observational data. Cambridge University Press, Cambridge. 95. Szendrei, T., and Varga, K. (2023). Revisiting vulnerable growth in the Euro Area: Identifying the role of financial conditions in the distribution. Economics Letters, 223 (C), 110990. 96. Skrinjaric, T. (2023). Macroprudential stance assessment: problems of measurement, literature review and some comments for the case of Croatia. CNB Working Papers, No. W-72. 97. Taylor, S. J. (1986). Modelling financial time series. Wiley. 98. Terasvirta, T. (2006). An introduction to univariate GARCH models. SSE/EFI Working Paper Series in Economics and Finance, No. 646. 99. Van Roye, B. (2011). Financial stress and economic activity in Germany and the Euro Area. Kiel Working Paper, No. 1743. 100. Varga, K., and Szenderei, T. (2025). Non-stationary financial risk factors andmacroeconomic vulnerability for the UK. International Review of Financial Analysis, 97 (C), 103866. 101. Wen, J. (2015). A composite indicator of systemic stress (CISS) for Norway - A reference indicator for the reduction of the countercyclical capital buffer. Norges Bank Staff Memo, No. 4/2015. 102. Zhang, Y., Wang, M., Xiong, X., and Zou, G. (2021). Volatility spillovers between stock, bond, oil, and gold with portfolio implications: Evidence from China. Finance Research Letters, 40 (C), 101786. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/125551 |