Forecasting The Instability of Polish Banks

• Autorzy: Marcin Łupiński
• Języki publikacji: EN

Abstrakty

EN

The paper presents a formalised procedure of the identification of financial stability EWI (Early Warning Indicators) for the Polish banking sector, in which a two-step procedure was applied. First, the author used a logit model to estimate of the biggest Polish banks' probabilities of default (PDs). Next, the calculated individual banks' PDs were used to prepare aggregated domestic banking system stability. In the last step, employing a set of multivariate Markov-switching models with distributed lags (MMSM-DL), the author applied this measure to identify EWI from the candidate macro, private and public debt, banking sector, financial markets and property prices indicators. The best performing EWI were selected with application of area under the receiver operating characteristic (AUROC) metrics and compared with an output of a popular logistic regression (LR) model. To the best author's knowledge, this article presents for the first time a fully formalised analytical framework based on the MMSM-DL approach that combines microprudential and macroprudential data for the Polish banks financial stability EWI identification. Moreover, the survey supports the hypothesis that the Polish banking sector is stable with use of a formalised econometric procedure.(original abstract)

Słowa kluczowe

PL

Prognozowanie; Banki; Modele Markowa

EN

Forecasting; Banks; Markov models

• Czasopismo: Argumenta Oeconomica
• Rocznik: 2022
• Numer: nr 2 (49)
• Strony: 115-134

Twórcy

autor

Marcin Łupiński

• Jan Kochanowski University in Kielce, Poland

Bibliografia

• Acharya, V.V. (2009). A theory of systemic risk and design of prudential bank regulation, Journal of Financial Stability, vol. 5(3), 224-255.
• Acharya, V.V., Pedersen, L.H., Philippon, T., Richardson, M. (2017). Measuring systemic risk, Review of Financial Studies, vol. 30(1), 2-47.
• Adrian, T., Brunnermeier, M.K. (2008). CoVaR, Federal Reserve Bank of New York, Staff Reports, 348.
• Adrian, T., Brunnermeier M.K. (2016). CoVaR, American Economic Review, vol. 106(7), 1705-1741.
• Abiad, A. (2003). Early-warning systems: A survey and a regime-switching approach, IMF Working Paper No. 03/32.
• Aldasoro, I., Borio. C., Drehmann. M. (2018). Early warning indicators of banking crises: expanding the family, BIS Quarterly Review.
• Alessi, L., Detken, C. (2011). Quasi real time early warning indicators for costly asset price boom/bust cycles. A role for global liquidity, European Journal of Political Economy, vol. 27(3), 520-533.
• Alter, A., Beyer, A. (2014). The dynamics of spillover effects during the European sovereign debt turmoil, Journal of Banking and Finance, vol. 42, 134-153.
• Banulescu, G.D., Dumitrescu, E.I. (2015). Which are the SIFIs?: A component expected shortfall approach to systemic risk, Journal of Banking & Finance, vol. 50, 575-588.
• Baron, M., Verner, E., Xiong, W. (2018). Identifying banking crises, NBER Working Paper No. 26908.
• Billio, M., Cavicchioli, M. (2014). Business cycle and Markov switching models with distributed lags: a comparison between US and euro area, Rivista Italiana degli Economisti, vol. 19(2), 253-276.
• Bilson, J.F.O. (1979). Leading indicators of currency devaluations, Columbia Journal of World Business, vol. 14, 62-76.
• Brunnermeier, M. (2001). Asset pricing under asymmetric information: bubbles, crashes, technical analysis and herding. Oxford, UK: Oxford University Press.
• Brunnermeier, M.K., Dong, G., Palia, D. (2012). Banks' non-interest income and systemic risk, Paper presented at the AFA 2012 Chicago Meeting.
• Bryant, J. (1980). A model of reserves, bank runs, and deposit insurance, Journal of Banking and Finance, vol. 4, 335-344.
• Bussiere, M., Fratzscher, M. (2006). Towards a new early warning system of financial crises, Journal of International Money and Finance, vol. 25, 953-973.
• Castro, C., Ferrari, S. (2014)/ Measuring and testing for the systemically important financial institutions, Journal of Empirical Finance, vol. 25, 1-14.
• Calomiris, C. (2010). The great depression and other "contagious" events, in: Berger, A.N., Molyneux, P., Wilson, J.O.S., The Oxford Handbook of Banking, Oxford, UK: Oxford University Press.
• Chari, V., Jagannathan, R. (1988). Banking panics, information, and rational expectations equilibrium, Journal of Finance, vol. 4, 749-760.
• Clements, M.P., Krolzig, H.M. (1998). A comparison of the forecast performance of Markov-switching and threshold autoregressive models of US GNP, Econometrics Journal, Royal Economic Society, vol. 1, 47-75.
• Drehmann, M., Juselius M. (2013). Evaluating early warning indicators of banking crises: Satisfying policy requirements, BIS Working Papers No 421.
• Elsinger, H., Lehar, A., Summer, M. (2006). Using market information for banking system risk assessment, International Journal of Central Banking, vol. 2, 137-165.
• Frankel, J.A., Rose, A.K. (1996). Currency crashes in emerging markets: an empirical treatment, Journal of International Economics, vol. 41(3-4), 351-366.
• Frankel, J.A., Saravelos, G. (2010). Are leading indicators of financial crisis useful for assessing country vulnerability? Evidence from the 2008-09 global crisis, NBER Working Paper No. 16047.
• Gerdrup, K., Kvinlog, A.B., Schaanning, E. (2013). Key indicators for a countercyclical capital buffer in Norway: trends and uncertainty, Staff Memo No 13, Norges Bank.
• Giese, J., Andersen, H., Bush, O., Castro, C., Farag, M., Kapadia, S. (2014). The credit-to-GDP and complementary indicators for macroprudential policy: evidence from the UK, International Journal of Finance and Economics, vol. 19, 25-47.
• Gorton, G. (1998). Banking panics and business cycles, Oxford Economic Papers, vol. 40, 751-781.
• Hamilton, J. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle, Econometrica, vol. 57(2), 357-84.
• Hautsch, N., Schaumburg, J., Schienle, M. (2015). Financial network systemic risk contributions, Review of Finance, vol. 19, 685-738.
• Jahn, N., Kick, T. (2012). Early warning indicators for the German banking system: a macroprudential analysis, Deutsche Bundesbank Discussion Paper No. 27/2012.
• Kaminsky, G.L., Lizondo, S., Reinhart, C.M. (1998). Leading indicators of currency crises, IMF Staff Paper, vol. 45, 1-48.
• Kim, Ch.-J., Nelson, Ch., (1998) Business cycle turning points, a new coincident index, and tests of duration dependence based on a dynamic factor model with regime switching, Review of Economics and Statistics, vol. 80(2), 188-201.
• Laeven, L., Ratnovski, L., Tong, H. (2014). Bank size and systemic risk, International Monetary Fund Staff Discussion Note 14/04.
• Laeven, L., Ratnovski, L, Tong, H. (2016). Bank size, capital, and systemic risk: some international evidence, Journal of Banking & Finance, vol. 69(1), 25-34.
• Laeven, L., Valencia, F. (2016). Systemic Banking Crises Revisited, IMF Working Paper WP/18/206.
• Laux, Ch., Leuz, Ch. (2010). Did fair-value accounting contribute to the financial crisis? Journal of Economic Perspectives, vol. 24, 93-118.
• Lindgren, C.J., Garcia, G, Saal, M. (1996). Bank soundness and macroeconomic policy, IMF Working Paper No. 215.
• López-Espinosa, M.G., Rubia, A., Valderrama, L. (2012). Short-term wholesale funding and systemic risk: a global CoVaR approach, Journal of Banking & Finance, vol. 36(12), 3150-3162.
• National Bank of Poland 2018, Financial System in Poland 2017.
• Pepe, M., Janes, H., Longton, G. (2009). Estimation and comparison of receiver operating characteristic curves, Stata Journal, vol. 9(1).
• Reinhart, C., Rogoff, K. (2009). This time is different: eight centuries of financial folly. Princeton, Princeton University Press.
• Rochet, J.C. (2008). Why are there so many banking crises? The politics and policy of bank regulation, Princeton, Princeton University Press.
• Rose, A.K., Spiegel, M.M. (2009). Cross-country causes and consequences of the 2008 crisis: early warning, NBER Working Paper No. 15357.
• Schularick, M., Taylor A.M. (2012). Credit booms gone bust: monetary policy, leverage cycles, and financial crises, 1870-2008, American Economic Review: vol. 102(2), 1029-1061.
• Smaga, P. (2014). The concept of systemic risk, SRC Special Paper No 5.
• Weiß, G.N.F., Mühlnickel, J. (2014). Why do some insurers become systemically relevant?, Journal of Financial Stability, vol. 13, 95-117.

Identyfikatory

DOI

10.15611/aoe.2022.2.07