Mamatzakis, Emmanuel (2015) Risk and efficiency in the Central and Eastern European banking industry under quantile analysis. Quantitative Finance 15 (3), pp. 553-567. ISSN 1469-7688.
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Abstract
This paper estimates cost efficiency in the banking industry of 11 Central and Eastern European (CEE) countries over the period 1998–2005 using a quantile regression analysis. Our purpose is to investigate for the first time whether cost efficiency in CEE banks differs across quantiles of the conditional distribution. We employ stochastic frontier analysis across quantiles using the Distribution-Free Approach. The reported evidence demonstrates lower efficiency scores for higher conditional distributions. The paper goes further into a second-stage analysis to investigate how risk, measured by non-performing loans and loans loss provisions, affects bank efficiency across quantiles. This second-stage analysis finds that risk asserts a negative impact on cost efficiency, especially in high-order quantiles. Finally, the paper investigates the relationship between bank-specific ‘z’ variables, such as structural reforms, bank concentration and profitability, and cost efficiency across quantiles.
Metadata
| Item Type: | Article |
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| Additional Information: | This is an Accepted Manuscript of an article published by Taylor & Francis, available online at the link above. |
| Keyword(s) / Subject(s): | Applied finance, European financial markets, Financial econometrics, Parameter estimation techniques |
| School: | Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Research Centres and Institutes: | Accounting and Finance Research Centre |
| Depositing User: | Emmanuel Mamatzakis |
| Date Deposited: | 06 Mar 2020 06:57 |
| Last Modified: | 02 Aug 2023 17:57 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/30875 |
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