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Lending cycles in Estonia

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  • Märten Kress

Abstract

The objective of this paper is to examine possible cyclical patterns in the lending behavior of Estonian commercial banks. Furthermore, the degree of cycle synchronization between the business cycle and the credit cycle and how much one cycle is behind the other in the case of Estonia is of particular interest. The paper uses data from between January 1994 and February 2004 to identify the Estonian business and credit cycles and compare their features. A Markov regime-switching technique was used in dating both business and credit cycles. Variables of interest in terms of the credit cycle include the total amount of loans provided by commercial banks, household loans, corporate loans, and the share of overdue loans in the total portfolio. Both, monthly and quarterly data was utilized to double-check the results and the business cycle was dated using the Industrial Production Index (IPI) and GDP, respectively. The share of overdue loans in the total portfolio appeared to be counter-cyclical as expected. Changes in the IPI seemed to cause changes in corporate loans with a two-quarter lag on average. Asymmetries between the credit and business cycles were found for Estonia. That is, it takes approximately five months from the beginning of an economic slowdown before corporate loans move into a contraction regime. However, it takes approximately eight months for corporate loans to recover their expansionary growth rate. Changes in household loans seemed to precede changes in economic activity by approximately one quarter.

Suggested Citation

  • Märten Kress, 2004. "Lending cycles in Estonia," Bank of Estonia Working Papers 2004-3, Bank of Estonia, revised 10 Oct 2004.
  • Handle: RePEc:eea:boewps:wp2004-03
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    References listed on IDEAS

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    1. Giancarlo Bruno & Edoardo Otranto, 2003. "Dating the Italian Business Cycle: A Comparison of Procedures," Econometrics 0312003, University Library of Munich, Germany.
    2. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    3. C John McDermott & Alasdair Scott, 1999. "Concordance in business cycles," Reserve Bank of New Zealand Discussion Paper Series G99/7, Reserve Bank of New Zealand.
    4. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    5. Anil K. Kashyap & Jeremy C. Stein, 1994. "Monetary Policy and Bank Lending," NBER Chapters, in: Monetary Policy, pages 221-261, National Bureau of Economic Research, Inc.
    6. Harding, Don & Pagan, Adrian, 2003. "A comparison of two business cycle dating methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1681-1690, July.
    7. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    8. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    9. Peter McAdam, 2007. "USA, Japan and the Euro Area: Comparing Business-Cycle Features," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 135-156.
    10. Dolado, Juan J. & Lütkepohl, Helmut, 1994. "Making Wald Tests Work for Cointegrated Var Systems," SFB 373 Discussion Papers 1994,44, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    11. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    12. Swanson, N.R. & Ozyildirim, A. & Pisu, M., 1996. "A Comparison of Alternatove causality and Predictive Accuracy Tests in the presence of Integrated and Co-integrated Economic Variables," Papers 4-96-4, Pennsylvania State - Department of Economics.
    13. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    14. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
    15. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    16. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
    17. N. Gregory Mankiw, 1994. "Monetary Policy," NBER Books, National Bureau of Economic Research, Inc, number greg94-1.
    18. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, April.
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