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Efficiency Measurement in Deposit Banks Using Data Envelopment Analysis and Data Mining

Author

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  • Ibrahim Halil Seyrek
  • H. Ali Ata

Abstract

In today’s world in which several countries face financial crises, banking industry has become very important for national economies in order to realize optimal resource use. Therefore, banking industry should operate productively and increase its efficiency. In this study, firstly, efficiency of deposit banks operating in Turkish banking industry are measured using data envelopment analysis (DEA). Then, using efficiency scores of banks, financial performance indicators which are important for predicting bank efficiency are determined using data mining techniques. As a result of the study, “Total Credits/Total Deposits” ratio and “Other Operating Costs/Total Operating Income” ratio are found to be important financial ratios in predicting bank efficiency.

Suggested Citation

  • Ibrahim Halil Seyrek & H. Ali Ata, 2010. "Efficiency Measurement in Deposit Banks Using Data Envelopment Analysis and Data Mining," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 4(2), pages 67-84.
    • Handle: RePEc:bdd:journl:v:4:y:2010:i:2:p:67-84
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    Citations

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    Cited by:

    1. Achraf Haddad & Anis El Ammari & Abdelfettah Bouri, 2019. "Comparative Study of Ambiguity Resolution between the Efficiency of Conventional and Islamic Banks in a Stable Financial Context," International Journal of Economics and Financial Issues, Econjournals, vol. 9(5), pages 111-129.

    More about this item

    Keywords

    Bank Efficiency; Data Envelopment Analysis; Data Mining;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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