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Market power and stability of financial institutions: evidence from the Italian banking sector

Author

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  • Cristian Barra
  • Roberto Zotti

Abstract

Purpose - This paper aims to explore the relationship between bank market power and stability of financial institutions in Italy between 2001 and 2012. The authors first test the existence of aU-shaped relationship between market power and financial stability. Second, they regress the market share indicator on bank risk-taking to underline whether financial stability is affected by increasing or decreasing the market power of banks. Third, they explore whether this relationship is affected by the size, level of capitalization and credit insolvency of banks. Design/methodology/approach - Relying on highly territorially disaggregated data at labor market areas level, the authors estimate the impact of bank market power and other explanatory variables on a proxy of risk taking behavior such as the banking “stability inefficiency” derived simultaneously from the estimation of a stability stochastic frontier. Bank market power is taken into account through an individual measure based on loans. Financial stability is calculated through theZ-score. The authors use, as risk-taking measure, the stability inefficiency whose estimation approach is the stochastic frontier analysis. Findings - The empirical evidence shows that the inefficiency of financial stability is found to beU-shaped related with respect to the measure of market power. Bank size is an essential factor in explaining the relationship between bank market power and risk-taking. Cooperative banks have fewer incentives to gain market power to better perform in term of risks. The reform of the cooperative banks that took recently place in Italy is not supported by the data. Originality/value - The relationship between bank market power and financial stability has been analyzed using a rich sample of cooperative, commercial and popular banks in Italy over the 2001-2012 period. The authors rely on labor market areas being sub-regional geographical areas where the bulk of the labor force lives and works. The paper investigates the market power-stability link considering both cooperative and non-cooperative banks. Indeed, specific attention has been paid on cooperative banks because of their mission in favor of the local community as only few studies, to the best of the authors’ knowledge, examine cooperative banking.

Suggested Citation

  • Cristian Barra & Roberto Zotti, 2019. "Market power and stability of financial institutions: evidence from the Italian banking sector," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 28(2), pages 235-265, December.
  • Handle: RePEc:eme:jfrcpp:jfrc-05-2019-0055
    DOI: 10.1108/JFRC-05-2019-0055
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    Citations

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    Cited by:

    1. Ayesha Hameed & Tahir Saeed Jagirani & Mohammad Qamar Qureshi & Aisha Riaz, 2024. "The Causal Linkages between Market Power and Cost Efficiency: Testing Quiet Life Hypothesis for the Banking Industry," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(1), pages 803-811.
    2. Cristian Barra & Nazzareno Ruggiero, 2021. "The role of nonlinearity on the financial development–economic performance nexus: an econometric application to Italian banks," Empirical Economics, Springer, vol. 60(5), pages 2293-2322, May.

    More about this item

    Keywords

    Bank regulation; Local banks; Market power; Financial stability; G21; D21; G28; C14;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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