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Robust DEA for banks'efficiency under uncertainty

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F17%3A10240272" target="_blank" >RIV/61989100:27510/17:10240272 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robust DEA for banks'efficiency under uncertainty

  • Original language description

    The Data Envelopment Analysis (DEA) has been the benchmarked model for measuring the efficiency of banks over the years. However, inherent noise and uncertainties in the data are hardly considered for robust efficiency scores. The disadvantage is that a small perturbation in the uncertain parameters can lead to high infeasibility of the efficient solutions. This paper introduces a robust DEA into the measurement of banks efficiency. The proposed robust approach is based on the robust counterpart optimization of Ben-Tal &amp; Nemirovski (2000), and it is implemented in the traditional DEA models germane to the performance measurement of banks. A preliminary result from data on banks in the Czech Republic indicates that efficiency scores measured with the robust DEA model provides a true and stable performance measure than the normal DEA model.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/GA16-17810S" target="_blank" >GA16-17810S: Selective measures in data envelopment analysis: theory and applications</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 12th International Conference on Strategic Management and its Support by Information Systems: May 25th-26th, 2017, Ostrava, Czech Republic

  • ISBN

    978-80-248-4046-8

  • ISSN

    2570-5776

  • e-ISSN

    neuvedeno

  • Number of pages

    8

  • Pages from-to

    304-311

  • Publisher name

    VŠB - Technical University of Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    May 25, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000417344100034