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Competition and credit procyclicality in European banking

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  • Leroy, Aurélien
  • Lucotte, Yannick

Abstract

This paper empirically assesses how competition in the banking sector affects credit procyclicality by estimating both an interacted panel VAR model using macroeconomic data and a single-equation model with bank-level data. These two empirical approaches show that a deviation of actual GDP from potential GDP leads to greater credit fluctuations in economies where bank competition is weak. This suggests that increased market power for banks increases the financial accelerator mechanism, which is consistent with recent macroeconomic models showing that monopolistic banking tends to increase macroeconomic volatility by making credit cheaper during booms and more expensive during recessions.

Suggested Citation

  • Leroy, Aurélien & Lucotte, Yannick, 2019. "Competition and credit procyclicality in European banking," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 237-251.
  • Handle: RePEc:eee:jbfina:v:99:y:2019:i:c:p:237-251
    DOI: 10.1016/j.jbankfin.2018.12.004
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    Cited by:

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    5. 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).
    6. 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.
    7. 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).
    8. 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.
    9. Shaffer, Sherrill & Spierdijk, Laura, 2020. "Measuring multi-product banks’ market power using the Lerner index," Journal of Banking & Finance, Elsevier, vol. 117(C).
    10. 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.
    11. 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).
    12. 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.
    13. Bergmann, Philip, 2019. "Oil price shocks and GDP growth: Do energy shares amplify causal effects?," Energy Economics, Elsevier, vol. 80(C), pages 1010-1040.
    14. Yahya, Farzan & Lee, Chien-Chiang, 2023. "Disentangling the asymmetric effect of financialization on the green output gap," Energy Economics, Elsevier, vol. 125(C).
    15. 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).

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    More about this item

    Keywords

    Credit cycle; Business cycle; Bank competition; Interacted panel VAR;
    All these keywords.

    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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