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Risk in the EU banking industry and efficiency under quantile analysis

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  • Mamatzakis, E
  • Koutsomanoli, A

Abstract

This study estimates cost efficiency under a quantile regression framework. Our purpose is to investigate whether cost efficiency differs across quantiles of the conditional distribution. Efficiency scores are derived using the distribution-free approach. Results show that for higher conditional distributions, efficiency scores are lower. In a second stage analysis, we examine the relationship between risk, measured as distance to default and efficiency. Cross section regressions show that the higher the risk the lower the level of efficiency. The magnitude and the significance of the coefficient of the distance to default increases for conditional distributions associated with lower levels of efficiency.

Suggested Citation

  • Mamatzakis, E & Koutsomanoli, A, 2009. "Risk in the EU banking industry and efficiency under quantile analysis," MPRA Paper 22492, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:22492
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Cost efficiency; Quantile regression; Distribution-free approach; Distance to default.;
    All these keywords.

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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