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Efficiency in pre-merger and post-merger non-bank financial institutions

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  • Andrew C. Worthington

    (School of Economics and Finance, Queensland University of Technology, Brisbane, QLD, Australia)

Abstract

A two-part process is employed to analyse the role of efficiency in merger and acquisition (M&A) activity in Australian credit unions during the period 1993-1997. The measures of efficiency are derived using the non-parametric technique of data envelopment analysis. The first part uses panel data in the probit model to relate pure technical efficiency, along with other managerial, regulatory and financial factors, to the probability of merger activity, either as an acquiring or acquired entity. The results indicate that loan portfolio diversification, management ability, earnings and asset size are a significant influence on the probability of acquisition, though the primary determinant of being acquired is smaller asset size. The second part uses a tobit model adapted to a panel framework to analyse post-merger efficiency. Mergers appear to have improved both pure technical efficiency and scale efficiency in the credit union industry. Copyright © 2001 John Wiley & Sons, Ltd.

Suggested Citation

  • Andrew C. Worthington, 2001. "Efficiency in pre-merger and post-merger non-bank financial institutions," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 22(8), pages 439-452.
    • Handle: RePEc:wly:mgtdec:v:22:y:2001:i:8:p:439-452
    DOI: 10.1002/mde.1033
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    References listed on IDEAS

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    Cited by:

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    3. Went, Peter, 2003. "A quantitative analysis of qualitative arguments in a bank merger," International Review of Financial Analysis, Elsevier, vol. 12(4), pages 379-403.
    4. Caiazza, Stefano & Pozzolo, Alberto Franco & Trovato, Giovanni, 2011. "Do domestic and cross-border M&As differ? Cross-country evidence from the banking sector," Economics & Statistics Discussion Papers esdp11061, University of Molise, Department of Economics.
    5. Mohamed Dia & Pawoumodom M. Takouda & Amirmohsen Golmohammadi, 2022. "Assessing the performance of Canadian credit unions using a three-stage network bootstrap DEA," Annals of Operations Research, Springer, vol. 311(2), pages 641-673, April.
    6. R. Amy Puenpatom & Robert Rosenman, 2006. "Efficiency of Thai provincial public hospitals after the introduction of National Health Insurance Program," Working Papers 2006-2, School of Economic Sciences, Washington State University.
    7. S Lozano & G Villa, 2010. "DEA-based pre-merger planning tool," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1485-1497, October.
    8. Andrew C. Worthington, 2010. "Frontier Efficiency Measurement In Deposit‐Taking Financial Mutuals: A Review Of Techniques, Applications, And Future Research Directions," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 81(1), pages 39-75, March.
    9. Brown, Rayna, 2006. "Mismanagement or mismeasurement? Pitfalls and protocols for DEA studies in the financial services sector," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1100-1116, October.
    10. Yamori, Nobuyoshi & Harimaya, Kozo & Tomimura, Kei, 2017. "The efficiency of Japanese financial cooperatives: An application of parametric distance functions," Journal of Economics and Business, Elsevier, vol. 94(C), pages 43-53.
    11. Almudena Martínez-Campillo & Yolanda Fernández-Santos, 2017. "What About the Social Efficiency in Credit Cooperatives? Evidence from Spain (2008–2014)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 607-629, March.
    12. Lewis, Danielle & Webb, James R., 2007. "Potential cost synergies from banks acquiring real estate brokerage services," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2347-2363, August.
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