Mamatzakis, E and Koutsomanoli, A (2009): Risk in the EU banking industry and efficiency under quantile analysis.
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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.
|Item Type:||MPRA Paper|
|Original Title:||Risk in the EU banking industry and efficiency under quantile analysis|
|English Title:||Risk in the EU banking industry and efficiency under quantile analysis|
|Keywords:||Cost efficiency; Quantile regression; Distribution-free approach; Distance to default.|
|Subjects:||L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L25 - Firm Performance: Size, Diversification, and Scope
G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks; Depository Institutions; Micro Finance Institutions; Mortgages
|Depositing User:||emmanuel c mamatzakis|
|Date Deposited:||05. May 2010 10:02|
|Last Modified:||13. Feb 2013 13:54|
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