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Competition and credit procyclicality in European banking

Author

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  • Aurélien Leroy
  • Yannick Lucotte

Abstract

This paper empirically assesses the effects of competition in the financial sector on credit procyclicality by estimating both an interacted panel VAR (IPVAR) model using macroeconomic data and a single-equation model with bank-level European banking data. The findings of these two empirical approaches highlight that an exogenous deviation of actual GDP from potential GDP leads to greater credit fluctuation in economies where both competition among banks and competition from non-bank financial institutions or direct finance (proxied by the fi- nancial structure) are weak. According to the financial accelerator theory, if lower competition strengthens the cyclical behavior of financial intermediaries, it follows that these "endogenous developments in credit markets work to amplify and propagate shocks to the macroeconomy" (Bernanke et al., 1999). Furthermore, since credit booms are closely associated with future financial crises (Laeven and Valencia, 2012), our results can also be read as evidence that greater competition in the financial sphere reduces financial instability, which is in line with the competition-stability view denying the existence of a trade-off between competition and stability

Suggested Citation

  • Aurélien Leroy & Yannick Lucotte, 2017. "Competition and credit procyclicality in European banking," Bank of Estonia Working Papers wp2017-9, Bank of Estonia, revised 09 Nov 2017.
    • Handle: RePEc:eea:boewps:wp2017-9
    DOI: 10.23656/25045520/92017/0148
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    Cited by:

    1. Jéfferson Colombo & Peter Wanke & Jorge Antunes & Abul Kalam Azad, 2022. "Unveiling endogeneity between competition and efficiency in European banks: a robust econometric-neural network approach," SN Business & Economics, Springer, vol. 2(3), pages 1-46, March.
    2. Dąbrowski, Marek A. & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2022. "The role of economic development for the effect of oil market shocks on oil-exporting countries. Evidence from the interacted panel VAR model," Energy Economics, Elsevier, vol. 110(C).
    3. Olszak, Małgorzata & Kowalska, Iwona, 2022. "Does bank competition matter for the effects of macroprudential policy on the procyclicality of lending?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    4. Tan Ngoc Vu & Chi Minh Ho & Thang Cong Nguyen & Duc Hong Vo, 2020. "The Determinants of Risk Transmission between Oil and Agricultural Prices: An IPVAR Approach," Agriculture, MDPI, vol. 10(4), pages 1-14, April.
    5. Shaffer, Sherrill & Spierdijk, Laura, 2020. "Measuring multi-product banks’ market power using the Lerner index," Journal of Banking & Finance, Elsevier, vol. 117(C).
    6. Sleibi, Yacoub & Casalin, Fabrizio & Fazio, Giorgio, 2020. "Bank-specific shocks and aggregate leverage: Empirical evidence from a panel of developed countries," Journal of Financial Stability, Elsevier, vol. 49(C).
    7. Juan Carlos Cuestas & Yannick Lucotte & Nicolas Reigl, 2022. "The evolution and heterogeneity of credit procyclicality in Central and Eastern Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 911-942, January.
    8. Kukk, Merike & Levenko, Natalia, 2024. "Interest rate spreads: Different stories for different types of loan," Research in International Business and Finance, Elsevier, vol. 72(PA).
    9. Michael Dreyfuss & Yahel Giat & Eran Manes, 2024. "More Quality, Less Trust?," IJFS, MDPI, vol. 12(4), pages 1-18, December.
    10. El Moussawi, Chawki & Mansour, Rana, 2022. "Competition, cost efficiency and stability of banks in the MENA region," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 143-170.
    11. Khwazi Magubane, 2025. "The Stability of the Financial Cycle: Insights from a Markov Switching Regression in South Africa," JRFM, MDPI, vol. 18(2), pages 1-30, February.
    12. Michal Rubaszek & David Stenvall & Gazi Salah Uddin, 2025. "Rental market structure and housing dynamics: An interacted panel VAR investigation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 781-802, January.
    13. Kouretas, Georgios P. & Pawłowska, Małgorzata, 2020. "Does change in the market structure have any impact on different types of bank loans in the EU?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    14. Kouretas, Georgios P. & Pawłowska, Małgorzata & Szafrański, Grzegorz, 2020. "Market structure and credit procyclicality: Lessons from loan markets in the European Union banking sectors," Economic Modelling, Elsevier, vol. 93(C), pages 27-50.
    15. Michael Sigmund, 2021. "Assessing macro-prudential policies: the case of FX lending," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(2), pages 316-359, April.
    16. Olszak, Małgorzata & Kowalska, Iwona, 2023. "Do competition and market structure affect sensitivity of bank profitability to the business cycle?," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    17. Bergmann, Philip, 2019. "Oil price shocks and GDP growth: Do energy shares amplify causal effects?," Energy Economics, Elsevier, vol. 80(C), pages 1010-1040.
    18. Yahya, Farzan & Lee, Chien-Chiang, 2023. "Disentangling the asymmetric effect of financialization on the green output gap," Energy Economics, Elsevier, vol. 125(C).
    19. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.

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    Keywords

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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