Predicting Business Failures in Canada
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DOI: 10.1506/G8T2-K05V-1850-52U4
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References listed on IDEAS
- Grice, John Stephen & Ingram, Robert W., 2001. "Tests of the generalizability of Altman's bankruptcy prediction model," Journal of Business Research, Elsevier, vol. 54(1), pages 53-61, October.
- Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
- Holder-Webb, LM & Wilkins, MS, 2000. "The incremental information content of SAS No. 59 going-concern opinions," Journal of Accounting Research, Wiley Blackwell, vol. 38(1), pages 209-219.
- 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.
- Mark T. Leary & Michael R. Roberts, 2005.
"Do Firms Rebalance Their Capital Structures?,"
Journal of Finance, American Finance Association, vol. 60(6), pages 2575-2619, December.
- Michael R. Roberts & Mark T. Leary, 2004. "Do Firms Rebalance Their Capital Structures?," Econometric Society 2004 North American Summer Meetings 52, Econometric Society.
- Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
- Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
- Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
- repec:bla:jfinan:v:53:y:1998:i:3:p:1131-1147 is not listed on IDEAS
- Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
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Cited by:
- Bhanu Pratap Singh & Alok Kumar Mishra, 2016. "Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-28, December.
- Bhimani, Alnoor & Gulamhussen, Mohamed Azzim & Lopes, Samuel Da-Rocha, 2010. "Accounting and non-accounting determinants of default: An analysis of privately-held firms," Journal of Accounting and Public Policy, Elsevier, vol. 29(6), pages 517-532, November.
- Chen, An-Sing & Chu, Hsiang-Hui & Hung, Pi-Hsia & Cheng, Miao-Sih, 2020. "Financial risk and acquirers' stockholder wealth in mergers and acquisitions," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
- Mwila Joseph Mulenga & Meena Bhatia, 2017. "The Review of Literature on the Role of Earnings, Cash Flows and Accruals in Predicting of Future Cash Flow," Accounting and Finance Research, Sciedu Press, vol. 6(2), pages 1-59, May.
- Svabova Lucia & Durica Marek & Podhorska Ivana, 2018. "Prediction of Default of Small Companies in the Slovak Republic," Economics and Culture, Sciendo, vol. 15(1), pages 88-95, June.
- Umair Bin YOUSAF & Khalil JEBRAN & Man WANG, 2022. "A Comparison of Static, Dynamic and Machine Learning Models in Predicting the Financial Distress of Chinese Firms," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 122-138, April.
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