Relationship between the Credit-to-GDP Gap and Systemic Banking Crisis: The Case of Turkey

Çalışmada Türkiye'nin 1960-2013 dönemi yıllık verileri kullanılarak iki aşamalı bir analiz yapılmıştır. Önce Hodrick-Prescott, Band-Pass filtreleri ile Gözlenemeyen Değişken Modeli kullanılarak alternatif kredi açığı hesaplamaları yapılmış ve bunların performansları karşılaştırılmıştır. Ulaşılan bulgular, gözlenemeyen değişken modeline dayanan kredi açığının tahmininin diğerlerine oranla daha başarılı olduğunu göstermiştir. İkinci aşamada, logit kullanılarak ele alınan dönemde Türkiye'de yaşanmış bankacılık krizleri analiz edilmiştir. İkili değişken olarak tanımlanan sistemik krizler ve tüm bankacılık krizleri ayrı ayrı modellenmiş ve bu modellerde açıklayıcı değişken olarak ilk adımda tahmin edilmiş olan kredi açığı dizisi kullanılmıştır. Sonuçlar, kredi açığındaki artışların hem sistemik hem de sistemik olmayan bankacılık krizi meydana gelme olasılığını arttırdığı yönündedir.

and Administrative Sciences

In this study, a two-step analysis has been done by using the annual data of Turkey's 1960-2013 periods. First, alternative credit-to-GDP gap calculations were made by using Hodrick-Prescott, Band-Pass filters, and Unobserved Components Model and their performances were compared. Reached findings showed that the credit-to-GDP gap estimations based on the Unobserved Components Model is more successful compared to others. In the second step, banking crisis experienced in Turkey in the studied period has been analysed based on Logit Model. Systemic crises and all banking crises defined as a binary variable were modelled separately. In these models, credit-to-GDP gap estimated in the first step were used as explanatory variable. The results show that the growth in the credit-to-GDP gap increases the probability of occurrence of both systemic and non-systemic banking crises.

___

  • Caprio, G. & Klingebiel, D. (1999). Episodes of Systemic and Borderline Financial Crises. The World Bank, Finance Research, October.
  • Caprio, G. & Klingebiel, D. (2003). Episodes of Systemic and Borderline Financial Crises. The World Bank, Finance Research, January.
  • Commandeur, J.J.F., Kopman, S.J. & Ooms, M. (2011). Statistical Software for State Space Methods. Journal of Statistical Software, 41(1), 1-18.
  • De Bonis, R. & Silvestrini, A. (2013). The Italian Financial Cycle: 1861-2011, Banca de Italia, Working Papers, No: 936, October.
  • Drehmann, M., Borio, C. & Tsatsaronis, K. (2011). Anchoring Countercyclical Capital Buffers: The Role of Credit Aggregates, International Journal of Central Banking, 7(4), 189-240.
  • Drehmann, M. & Tsatsaronis, K. (2014). The Credit-to-GDP Gap and Countercyclical Capital Buffers: Questions and Answers. BIS Quarterly Review, March, 55-73.
  • Edge, R.M. & Meisenzahl, R.R. (2011a). The Unreliability of Credit-to-GDP Ratio Gaps in Real-Time and the Implications for Countercyclical Capital Buffers, International Journal of Central Banking, 7(4), 261-297.
  • Edge, R.M. & Meisenzahl, R.R. (2011b). The Unreliability of Credit-to-GDP Ratio Gaps in Real-Time and the Implications for Countercyclical Capital Buffers. International Journal of Central Banking, 7(4), 261-298.
  • Farrell, G. (2014). Countercyclical Capital Buffers and Real Time Credit-to GDP Gap Estimates: A South African Perspective. MRPA Papers, No: 55368, April.
  • Gersl, A. & Seidler, J. (2011). Excessive Credit Growth as An Indicator of Financial (In)Stability and Its Use in Macroprudential Policy. Chech National Bank Financial Stability Report, No. 2010/2011, 112-122.
  • Giese, J., Andersen, H., Bush, O., Castro, C., Farag, M. & Kapadia, S. (2014). The Credit-to-GDP Gap and Complementary Indicators for Macroprudential Policy: Evidence from the UK. International Journal of Finance and Economics, 19(1), 25-47.
  • Harvey, A.C. (1989). Forecasting Structural Time Series and Kalman Filter, Cambridge: Cambridge University Press.
  • Harvey, A. & Siem Jan, K. (2009). Unobserved Components Models in Economics and Finance: The Role of The Kalman Filter in Time Series Econometrics. IEEE Control Systems Magazine, December, 71-81.
  • Hodrick, R.J. & Prescott, E.C. (1980). Postwar US Business Cycles: An Empirical Investigation. Carnegie-Mellon University, Department of Economics, Discussion Papers, No: 451.
  • Hodrick, R.J. & Prescott, E.C. (1997). Postwar US Business Cycles: An Empirical Investigation. Journal of Money, Credit and Banking, 29(1), 1-16.
  • Johnson, C.A. (2013). Potential Output and Output Gap in Central America, Panama and Dominicanian Republic. IMF Working Papers, No: WP/13/145, June.
  • Kelly, R., McQuinn, K. & Stuart, R. (2013). Exploring the Steady State Relationship between Credit and GDP for A Small Open Economy: The Case of Ireland. ECB Working Papers, No: 1531, April.
  • Laeven, L. & Valencia, F. (2008). Systemic Banking Crises: A New Database. IMF Working Papers, No: WP/08/224.
  • Laeven, L. & Valencia, F. (2010). Resolution of Banking Crises: The Good, the Bad, and the Ugly. IMF Working Papers, No: WP/10/146.
  • Laeven, L. & Valencia, F. (2012). Systemic Banking Crises: An Update. IMF Working Papers, No: WP/12/163.
  • Mironchik, N.L. & Demidenko, M.V. (2012). Credit to Economy: New Answers to Standart Questions, National Bank of the Republic of Belarus Research Papers, No: 2, July.
  • Özbek, L. & Özlale, Ü. (2005). Employing the Extended Kalman Filter in Measuring the Output Gap, Journal of Economic Dynamics and Control, 29(9), 1611-1622.
  • Proietti, T. & Luati, A. (2012). Maximum Likelihood Estimation of Time Series Models: The Kalman Filter and Beyond. MRPA Papers, No: 39600, April.
  • van Norden, S. (2011). Discussion of 'The Unreliability of Credit-to-GDP ratio Gaps in Real Time: Implications for Countercyclical Capital Buffers'. International Journal of Central Banking, 7(4), 299-303.
Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi-Cover
  • ISSN: 1308-5549
  • Başlangıç: 2011
  • Yayıncı: Çankırı Karatekin Üniversitesi