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What Drives the Distributional Dynamics of Client Interest Rates on Consumer Loans in the Czech Republic? A Bank-level Analysis

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  • Vaclav Broz
  • Michal Hlavacek

Abstract

We study the bank-level distributional dynamics and factors of client interest rates on consumer loans in the Czech Republic. We take into account that client interest rates can have different fixation periods, focus on the consumer loans category, which exhibits multimodal client interest rate distributions, and employ an alternative measure to the mean interest rate - the mode measure. We show that in recent years, most banks in the Czech Republic have started to provide new consumer loans at unprecedentedly low client interest rates. The bank-level analysis then reveals that reduced market concentration (increased market competition) and to some extent also accommodative monetary policy and changes in the market for housing loans and mortgages have been driving this development. Our results are in line with the international literature but are novel in the Czech context.

Suggested Citation

  • Vaclav Broz & Michal Hlavacek, 2018. "What Drives the Distributional Dynamics of Client Interest Rates on Consumer Loans in the Czech Republic? A Bank-level Analysis," Working Papers 2018/6, Czech National Bank.
    • Handle: RePEc:cnb:wpaper:2018/6
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    1. Evžen Kočenda & Juraj Valachy, 2002. "Firm ownership structures: dynamic development," Prague Economic Papers, Prague University of Economics and Business, vol. 2002(3), pages 255-268.
    2. repec:cnb:ocpubc:fsr1011/4 is not listed on IDEAS
    3. Havranek, Tomas & Irsova, Zuzana & Lesanovska, Jitka, 2016. "Bank efficiency and interest rate pass-through: Evidence from Czech loan products," Economic Modelling, Elsevier, vol. 54(C), pages 153-169.
    4. Ludek Niedermayer, 2008. "Notes on the monetary transmission mechanism in the Czech economy," BIS Papers chapters, in: Bank for International Settlements (ed.), Transmission mechanisms for monetary policy in emerging market economies, volume 35, pages 213-219, Bank for International Settlements.
    5. Reint Gropp & Christoffer Kok & Jung-Duk Lichtenberger, 2014. "The Dynamics of Bank Spreads and Financial Structure," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-53.
    6. Aristei, David & Gallo, Manuela, 2014. "Interest rate pass-through in the Euro area during the financial crisis: A multivariate regime-switching approach," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 273-295.
    7. Nada Mora, 2014. "The weakened transmission of monetary policy to consumer loan rates," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 1-26.
    8. Hiranya Nath & Kiril Tochkov, 2013. "Relative inflation dynamics in the new EU member countries of Central and Eastern Europe," Empirical Economics, Springer, vol. 45(1), pages 1-22, August.
    9. Ana-Maria Fuertes & Shelagh A. Heffernan, 2009. "Interest rate transmission in the UK: a comparative analysis across financial firms and products," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(1), pages 45-63.
    10. Balázs Égert & Ronald MacDonald, 2009. "Monetary Transmission Mechanism In Central And Eastern Europe: Surveying The Surveyable," Journal of Economic Surveys, Wiley Blackwell, vol. 23(2), pages 277-327, April.
    11. Hainz, Christa & Horváth, Roman & Hlaváček, Michal, 2014. "The interest rate spreads in the Czech Republic: Different loans, different determinants?," Economic Systems, Elsevier, vol. 38(1), pages 43-54.
    12. Ignace De Vos & Gerdie Everaert & Ilse Ruyssen, 2015. "Bootstrap-based bias correction and inference for dynamic panels with fixed effects," Stata Journal, StataCorp LP, vol. 15(4), pages 986-1018, December.
    13. Hayakawa, Kazuhiko, 2015. "The Asymptotic Properties Of The System Gmm Estimator In Dynamic Panel Data Models When Both N And T Are Large," Econometric Theory, Cambridge University Press, vol. 31(3), pages 647-667, June.
    14. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    15. Dilling-Hansen, Mogens & Madsen, Erik Strojer & Smith, Valdemar, 2003. "Efficiency, R&D and ownership - some empirical evidence," International Journal of Production Economics, Elsevier, vol. 83(1), pages 85-94, January.
    16. Bridges, Jonathan & Gregory, David & Nielsen, Mette & Pezzini, Silvia & Radia, Amar & Spaltro, Marco, 2014. "The impact of capital requirements on bank lending," Bank of England working papers 486, Bank of England.
    17. Nickell, Stephen & Nicolitsas, Daphne & Dryden, Neil, 1997. "What makes firms perform well?," European Economic Review, Elsevier, vol. 41(3-5), pages 783-796, April.
    18. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    19. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    More about this item

    Keywords

    Banks; client interest rates; competition; consumer loans;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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