How do bankruptcy risk estimations change in time? Empirical evidence from listed US companies
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DOI: 10.1016/j.frl.2023.104389
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- John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008.
"In Search of Distress Risk,"
Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
- Campbell, John Y. & Hilscher, Jens & Szilagyi, Jan, 2005. "In search of distress risk," Discussion Paper Series 1: Economic Studies 2005,27, Deutsche Bundesbank.
- John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2005. "In Searach of Distress Risk," Harvard Institute of Economic Research Working Papers 2081, Harvard - Institute of Economic Research.
- Szilagyi, Jan & Hilscher, Jens & Campbell, John, 2008. "In Search of Distress Risk," Scholarly Articles 3199070, Harvard University Department of Economics.
- John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2006. "In Search of Distress Risk," NBER Working Papers 12362, National Bureau of Economic Research, Inc.
- Balcaen, Sofie & Ooghe, Hubert, 2006.
"35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems,"
The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
- S. Balcaen & H. Ooghe, 2004. "35 years of studies on business failure: an overview of the classical statistical methodologiesand their related problems," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/248, Ghent University, Faculty of Economics and Business Administration.
- Altman, Edward I. & Saunders, Anthony, 1997.
"Credit risk measurement: Developments over the last 20 years,"
Journal of Banking & Finance, Elsevier, vol. 21(11-12), pages 1721-1742, December.
- Edward I. Altman & Anthony Saunders, 1996. "Credit Risk Measurement: Developments over the Last 20 Years," New York University, Leonard N. Stern School Finance Department Working Paper Seires 96-3, New York University, Leonard N. Stern School of Business-.
- Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
- Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
- 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.
- Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
- Stewart Jones, 2017. "Corporate bankruptcy prediction: a high dimensional analysis," Review of Accounting Studies, Springer, vol. 22(3), pages 1366-1422, September.
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More about this item
Keywords
Bankruptcy prediction; Financial distress; Listed US companies; Pre-bankruptcy pattern;All these keywords.
JEL classification:
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
- O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
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