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Management estimation in banking

Author

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  • Delis, Manthos D.
  • Iosifidi, Maria
  • Tsionas, Mike

Abstract

We present and estimate a model of management practices as an unobserved (latent) input in a standard production function of banks. We derive estimates of management at the bank-quarter level, using data for all U.S. banks from 1984 to 2016 and Bayesian techniques. We show that management practices are an important missing input in banks’ operational processes. We validate our approach using repeated random sampling (Monte Carlo simulation) within a rather unfavorable environment. We also show that management is highly correlated with bank profitability (positively) and the probability of default (negatively). Our new measure compares favorably with existing measures of management derived from the residual of the regression of frontier efficiency on bank characteristics that are beyond management's capacity to change. Our model can be considered a benchmark to estimate good management practices, to analyze their sources, and to establish good management as an important determinant of efficient and sound banking.

Suggested Citation

  • Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
  • Handle: RePEc:eee:ejores:v:284:y:2020:i:1:p:355-372
    DOI: 10.1016/j.ejor.2019.12.023
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    Cited by:

    1. Delis, Manthos D. & Kazakis, Pantelis & Zopounidis, Constantin, 2023. "Management and takeover decisions," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1256-1268.
    2. Manthos D. Delis & Pantelis Kazakis & Constantin Zopounidis, 2021. "Management Practices and Takeover Decisions," Working Papers 2021_10, Business School - Economics, University of Glasgow.
    3. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    4. Korangi, Kamesh & Mues, Christophe & Bravo, Cristián, 2023. "A transformer-based model for default prediction in mid-cap corporate markets," European Journal of Operational Research, Elsevier, vol. 308(1), pages 306-320.
    5. Cristian Barra & Nazzareno Ruggiero, 2022. "Firm innovation and local bank efficiency in Italy: Does the type of bank matter?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 1083-1128, December.
    6. Delis, Manthos D. & Iosifidi, Maria & Kazakis, Pantelis & Ongena, Steven & Tsionas, Mike G., 2022. "Management practices and M&A success," Journal of Banking & Finance, Elsevier, vol. 134(C).
    7. Satyam Kumar & Yelleti Vivek & Vadlamani Ravi & Indranil Bose, 2023. "Causal Inference for Banking Finance and Insurance A Survey," Papers 2307.16427, arXiv.org.

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