Assessing the usefulness of accounting information as an instrument to predict business failure in Spanish cooperatives
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DOI: 10.22004/ag.econ.128561
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References listed on IDEAS
- Jorge Dietrich & F. J. Arcelus & G. Srinivasan, 2005. "Predicting financial failure: some evidence from new brunswick agricultural co‐ops," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 76(2), pages 179-194, June.
- Scott, James, 1981. "The probability of bankruptcy: A comparison of empirical predictions and theoretical models," Journal of Banking & Finance, Elsevier, vol. 5(3), pages 317-344, September.
- Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
- Mensah, Ym, 1984. "An Examination Of The Stationarity Of Multivariate Bankruptcy Prediction Models - A Methodological Study," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 380-395.
- Dambolena, Ismael G & Khoury, Sarkis J, 1980. "Ratio Stability and Corporate Failure," Journal of Finance, American Finance Association, vol. 35(4), pages 1017-1026, September.
- Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
- Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
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Keywords
Agribusiness; Farm Management; Risk and Uncertainty;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2012-08-23 (Forecasting)
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