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An empirical study of the usefulness of accounting ratios to describe levels of insolvency risk

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  • Lincoln, Mervyn

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  • Lincoln, Mervyn, 1984. "An empirical study of the usefulness of accounting ratios to describe levels of insolvency risk," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 321-340, June.
    • Handle: RePEc:eee:jbfina:v:8:y:1984:i:2:p:321-340
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    Cited by:

    1. Marco Bisogno, 2012. "The Accessibility Of The Italian Bankruptcy Procedures: An Empirical Analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 2(2), pages 1-24, December.
    2. Soo Young Kim, 2018. "Predicting hospitality financial distress with ensemble models: the case of US hotels, restaurants, and amusement and recreation," Service Business, Springer;Pan-Pacific Business Association, vol. 12(3), pages 483-503, September.
    3. Jason J. Constable & David R. Woodliff, 1994. "Predicting Corporate Failure Using Publicly Available Information," Australian Accounting Review, CPA Australia, vol. 4(7), pages 13-27, May.
    4. Andreas Feidakis & Antonios Rovolis, 2007. "Capital structure choice in European Union: evidence from the construction industry," Applied Financial Economics, Taylor & Francis Journals, vol. 17(12), pages 989-1002.
    5. Tanthanongsakkun Suparatana & Pitt David & Treepongkaruna Sirimon, 2009. "A Comparison of Corporate Bankruptcy Models in Australia: The Merton vs. Accounting-based Models," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 3(2), pages 1-21, April.
    6. John W. Pacey & Toan M. Pham, 1990. "The Predictiveness of Bankruptcy Models: Methodological Problems and Evidence," Australian Journal of Management, Australian School of Business, vol. 15(2), pages 315-337, December.
    7. Beynon, Malcolm J., 2005. "A novel technique of object ranking and classification under ignorance: An application to the corporate failure risk problem," European Journal of Operational Research, Elsevier, vol. 167(2), pages 493-517, December.
    8. Iulian Viorel Brasoveanu & Florin Dobre & Laura Brad, 2014. "Increasing Financial Audit Quality Using A New Model To Estimate Financial Performance," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 88-107, October.
    9. Kim, Soo Y. & Upneja, Arun, 2014. "Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models," Economic Modelling, Elsevier, vol. 36(C), pages 354-362.
    10. fernández, María t. Tascón & gutiérrez, Francisco J. Castaño, 2012. "Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 15(1), pages 7-58.
    11. Tamara Ayœs, Armando Lenin & Villegas, Gladis Cecilia & Leones Castro, María Cristina & Salazar Bocanegra, Juan Antonio, 2018. "Modelaci—n del riesgo de insolvencia en empresas del sector salud empleando modelos logit || Modeling of Insolvency Risk in Health Sector Companies Using Logit Models," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 128-145, Diciembre.
    12. Philip Gharghori & Howard Chan & Robert Faff, 2007. "Are the Fama-French Factors Proxying Default Risk?," Australian Journal of Management, Australian School of Business, vol. 32(2), pages 223-249, December.
    13. Philip Gharghori & Howard Chan & Robert Faff, 2006. "Investigating the Performance of Alternative Default-Risk Models: Option-Based Versus Accounting-Based Approaches," Australian Journal of Management, Australian School of Business, vol. 31(2), pages 207-234, December.
    14. Juliana Yim & Heather Mitchell, 2007. "Predicting Financial Distress In The Australian Financial Service Industry," Australian Economic Papers, Wiley Blackwell, vol. 46(4), pages 375-388, December.

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