The Limitations of Bankruptcy Prediction Models: Some Cautions for the Researcher

By J. Grice, M. Dugan. 2001

247 citations recorded by the source corpus.

Subfields: Accounting, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/395661752295a2e57289446e5e3f836d797c189e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. C. Torre
2. Julio Pindado
3. A. M. Priego
4. Elena Merino
5. M. Manzaneque

In Strategy and Management

1. Julio Pindado
2. A. M. Priego
3. Elena Merino
4. C. Torre
5. M. Manzaneque

Citations in the corpus

• Corporate governance effect on financial distress likelihood: Evidence from Spain (2016, background): “Financial distress is defined as the lack of company’s capacity to satisfy its financial obligations (Grice & Dugan, 2001; Grice & Ingram, 2001; Pindado et al., 2008).”
• Estimating financial distress likelihood (2008, background): “More recent studies focus on re-estimating the models above to determine whether they remain useful for predicting bankruptcy in more recent and longer periods and, more importantly, for predicting other financial distress conditions besides bankruptcy (Begley et al., 1996; Grice and Dugan, 2001; Gr”
• An application of support vector machines in bankruptcy prediction model (2005, unknown): “…(Atiya, 2001; Barniv et al., 1997; Bell, 1997; Boritz & Kennedy, 1995; Charalambous et al., 2000; Etheridge & Sriram, 1997; Fletcher & Goss, 1993; Grice & Dugan, 2001; Lee et al., 1996; Leshno & Spector, 1996; Odom & Sharda, 1990; Salchenberger et al., 1992; Shin & Han, 1998; Tam & Kiang, 1992;…”