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Bank insolvency risk and Z-score measures with unimodal returns

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  • Frank Strobel

Abstract

We specialize the established justification for using Z-scores as a risk measure reflecting a bank's probability of insolvency to the case where the bank's distribution of returns is unimodal, obtaining a refined upper bound of the probability of insolvency for this potentially useful special case.

Suggested Citation

  • Frank Strobel, 2011. "Bank insolvency risk and Z-score measures with unimodal returns," Applied Economics Letters, Taylor & Francis Journals, vol. 18(17), pages 1683-1685.
  • Handle: RePEc:taf:apeclt:v:18:y:2011:i:17:p:1683-1685
    DOI: 10.1080/13504851.2011.558474
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    Citations

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    Cited by:

    1. Lepetit, Laetitia & Strobel, Frank, 2013. "Bank insolvency risk and time-varying Z-score measures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 73-87.
    2. Chiaramonte, Laura & Croci, Ettore & Poli, Federica, 2015. "Should we trust the Z-score? Evidence from the European Banking Industry," Global Finance Journal, Elsevier, vol. 28(C), pages 111-131.
    3. repec:dat:earchi:y:2018:i:2:p:58-67 is not listed on IDEAS
    4. BARRA, Cristian & ZOTTI, Roberto, 2018. "Financial Stability as a Public Policy Goal to Increase Local Economic Development: an Empirical Investigation from Italian Labour Market Areas," CELPE Discussion Papers 154, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.
    5. Mare, Davide Salvatore & Moreira, Fernando & Rossi, Roberto, 2017. "Nonstationary Z-Score measures," European Journal of Operational Research, Elsevier, vol. 260(1), pages 348-358.

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