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Too Dispersed to Monitor? Ownership Dispersion, Monitoring, and the Prediction of Bank Distress

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  • TRISTAN AUVRAY
  • OLIVIER BROSSARD

Abstract

This paper conducts an empirical assessment of the theories stating that ownership concentration improves the quality of shareholders’ monitoring. In contrast with other studies, we do not use regressions of risk/performance on ownership concentration. Instead, we build an early warning model of bank distress that includes a leading indicator derived from banks’ share price, the Merton-KMV distance to default (DD). The significance of this indicator depends on the efficacy of shareholders’ monitoring. On a sample of European banks, we show that the predictive power of the DD is satisfactory only when banks’ shareholding is characterized by the presence of blockholders.
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Suggested Citation

  • Tristan Auvray & Olivier Brossard, 2012. "Too Dispersed to Monitor? Ownership Dispersion, Monitoring, and the Prediction of Bank Distress," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(4), pages 685-714, June.
  • Handle: RePEc:mcb:jmoncb:v:44:y:2012:i:4:p:685-714
    DOI: j.1538-4616.2012.00506.x
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    Cited by:

    1. Olivier Brossard & Stéphanie Lavigne & Mustafa Erdem Sakinç, 2013. "Ownership structures and R&D in Europe: the good institutional investors, the bad and ugly impatient shareholders," Industrial and Corporate Change, Oxford University Press, vol. 22(4), pages 1031-1068, August.
    2. Allen, D.E. & Powell, R.J. & Singh, A.K., 2016. "Take it to the limit: Innovative CVaR applications to extreme credit risk measurement," European Journal of Operational Research, Elsevier, vol. 249(2), pages 465-475.

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