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Identifying Large Problem/Failed Banks: The Case of Franklin National Bank of New York

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  • Sinkey, Joseph F.

Abstract

If the “smart money†was out of Franklin before its financial difficulties became public knowledge, just what elements of Franklin's balance sheet were the sagacious analysts reading and why weren't the banking authorities aware of this information? The purpose of this paper is to determine what balance-sheet and income-statement figures, if any, could have been arrayed in an ex post early-warning system to spotlight Franklin's developing problems.

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  • Sinkey, Joseph F., 1977. "Identifying Large Problem/Failed Banks: The Case of Franklin National Bank of New York," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(5), pages 779-800, December.
  • Handle: RePEc:cup:jfinqa:v:12:y:1977:i:05:p:779-800_02
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    Cited by:

    1. Kimmel, Randall K. & Thornton, John H. & Bennett, Sara E., 2016. "Can statistics-based early warning systems detect problem banks before markets?," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 190-216.
    2. Marcelo Dabos, 1996. "Crisis Bancaria y Medicion de Riesgo de Default. Metodos y el Caso de los Bancos Cooperativos en Argentina," Working Papers 12, Universidad de San Andres, Departamento de Economia, revised Jul 1996.
    3. Sumit Sarkar & Ram S. Sriram, 2001. "Bayesian Models for Early Warning of Bank Failures," Management Science, INFORMS, vol. 47(11), pages 1457-1475, November.
    4. Yucel, Eray, 2011. "A Review and Bibliography of Early Warning Models," MPRA Paper 32893, University Library of Munich, Germany.
    5. Beniamino Callegari, 2018. "The finance/innovation nexus in Schumpeterian analysis: theory and application to the case of U.S. trustified capitalism," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1175-1198, December.
    6. Raymond Cox & Randall Kimmel & Grace Wang, 2017. "Drivers of US Bank Failures during the Financial Crisis," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(8), pages 1-19, July.

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