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Efficiency of Credit Risk Management of Selected Commercial Banks in the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F20%3A10251387" target="_blank" >RIV/61989100:27510/20:10251387 - isvavai.cz</a>

  • Result on the web

    <a href="https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final_final.pdf" target="_blank" >https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final_final.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficiency of Credit Risk Management of Selected Commercial Banks in the Czech Republic

  • Original language description

    This paper focuses on measuring the efficiency of credit risk management of banks in the Czech Republic. The main aim is to evaluate the performance of credit risk management reflected on global technical efficiency and pure technical efficiency and productivity change of selected commercial banks in the Czech Republic. We apply the Data Envelopment Analysis (DEA) on 12 commercial banks in the Czech Republic over the period from 2012 to 2018. We find that under different assumptions of returns to scale, the efficiency score of selected banks ranges from 0.28 to 0.43 under CCR model and ranges from 0.61 to 0.71 under BCC model. Moreover, strong evidence from the Malmquist Index showed that the Czech banking sector improved its efficiency during the past 7 years due to innovation in credit risk management. Furthermore, we employ logistic regression to find out that the likelihood of a bank being efficient increases with larger size and higher yearly change of CAR, while decrease with higher GDP growth rate with lag effect under CCR model. And increases with lower profitability under BCC model.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

    <a href="/en/project/GJ20-25660Y" target="_blank" >GJ20-25660Y: Modeling credit risk and system risk in the non-life insurance sector.</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    38th International Conference on Mathematical Methods in Economics (MME 2020) : conference proceedings : September 9-11, 2020, Mendel University in Brno, Czech Republic

  • ISBN

    978-80-7509-734-7

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    97-103

  • Publisher name

    Mendel University in Brno

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Sep 9, 2020

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000668460800014