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An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction

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  • Edmister, Robert O.
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    Article provided by Cambridge University Press in its journal Journal of Financial and Quantitative Analysis.

    Volume (Year): 7 (1972)
    Issue (Month): 02 (March)
    Pages: 1477-1493

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    Handle: RePEc:cup:jfinqa:v:7:y:1972:i:02:p:1477-1493_01

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    Cited by:
    1. Leonardo Becchetti & Annalisa Castelli & Iftekhar Hasan, 2010. "Investment–cash flow sensitivities, credit rationing and financing constraints in small and medium-sized firms," Small Business Economics, Springer, vol. 35(4), pages 467-497, November.
    2. Francesco Dainelli & Francesco Giunta & Fabrizio Cipollini, 2013. "Determinants of SME credit worthiness under Basel rules: the value of credit history information," PSL Quarterly Review, Economia civile, vol. 66(264), pages 21-47.
    3. Leonardo Becchetti & Jaime Humberto Sierra Gonzalez 2, 2003. "Bankruptcy Risk and Productive Efficiency in Manufacturing Firms," CEIS Research Paper 30, Tor Vergata University, CEIS.
    4. Shuk-Wern Ong & Voon Choong Yap & Roy W.L. Khong, 2011. "Corporate failure prediction: a study of public listed companies in Malaysia," Managerial Finance, Emerald Group Publishing, vol. 37(6), pages 553-564, June.
    5. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
    6. du Jardin, Philippe & Séverin, Eric, 2011. "Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model," MPRA Paper 44262, University Library of Munich, Germany.
    7. Ha-Thu Nguyen, 2014. "Default Predictors in Credit Scoring - Evidence from France’s Retail Banking Institution," EconomiX Working Papers 2014-26, University of Paris West - Nanterre la Défense, EconomiX.
    8. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    9. Edward Altman & Gabriele Sabato, 2005. "Effects of the New Basel Capital Accord on Bank Capital Requirements for SMEs," Journal of Financial Services Research, Springer, vol. 28(1), pages 15-42, October.
    10. Cakir, Murat, 2005. "Firma Başarısızlığının Dinamiklerinin Belirlenmesinde Makina Öğrenmesi Teknikleri: Ampirik Uygulamalar ve Karşılaştırmalı Analiz
      [Machine Learning Techniques in Determining the Dynami
      ," MPRA Paper 55975, University Library of Munich, Germany.
    11. Veres Ferrer, Ernesto Jesús & Labatut Serer, Gregorio & Pozuelo Campillo, Jose, 2009. "Hacia una ordenación de las pequeñas empresas atendiendo a su posible situación de fracaso/Towards a Ranking of Smaller Companies According to Their Failure Risk," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 27, pages 775 (18 pá, Diciembre.
    12. Raffaella Calabrese & Silvia Angela Osmetti, 2011. "Generalized Extreme Value Regression for Binary Rare Events Data: an Application to Credit Defaults," Working Papers 201120, Geary Institute, University College Dublin.
    13. Ando, Tomohiro, 2009. "Bayesian inference for the hazard term structure with functional predictors using Bayesian predictive information criteria," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1925-1939, April.
    14. Philosophov, Leonid V. & Philosophov, Vladimir L., 2002. "Corporate bankruptcy prognosis: An attempt at a combined prediction of the bankruptcy event and time interval of its occurrence," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 375-406.
    15. Ghassan Hossari, 2012. "Optimising errors in signaling corporate collapse using MCCCRA," International Journal of Accounting and Information Management, Emerald Group Publishing, vol. 20(3), pages 300-316.
    16. Nicoleta BARBUTA-MISU, 2011. "A Specific Model for Assessing the Financial Performance:Case study on Building Sector Enterprises of Galati County - Romania," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 318-325.
    17. Antonio David Somoza Lopez & Josep Vallverdu Calafell, 2003. "Una comparacion de la seleccion de los ratios contables en los modelos contable-financieros de prediccion de la insolvencia empresarial," Working Papers in Economics 94, Universitat de Barcelona. Espai de Recerca en Economia.
    18. Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, University of Economics, Prague, vol. 2011(2), pages 157-176.
    19. Rassoul Yazdipour & Richard Constand, 2010. "Predicting Firm Failure: A Behavioral Finance Perspective," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 14(3), pages 90-104, Fall.
    20. Kallberg, Jarl G. & Udell, Gregory F., 2003. "The value of private sector business credit information sharing: The US case," Journal of Banking & Finance, Elsevier, vol. 27(3), pages 449-469, March.
    21. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    22. Nicoleta Barbuta-Misu, 2012. "Aggregated Index for Modelling the Influence of Financial Variables on Enterprise Performance," EuroEconomica, Danubius University of Galati, issue 2(31), pages 155-165, May.
    23. García-Gallego, Ana & Mures-Quintana, María-Jesús, 2013. "La muestra de empresas en los modelos de predicción del fracaso: influencia en los resultados de clasificación || The Sample of Firms in Business Failure Prediction Models: Influence on Classificati," 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. 15(1), pages 133-150, June.

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