Bankruptcy prediction using a discrete-time duration model incorporating temporal and macroeconomic dependencies

By C. Nam, T. Kim, N. Park, Hoe-Kyung Lee. 2008

144 citations recorded by the source corpus.

Subfields: Accounting, Finance

View Paper: https://www.semanticscholar.org/paper/6ec41c8b981df6b932cefaa084daaa80880d6030

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. N. Wilson
2. Edward I. Altman
3. G. Sabato
4. Z¨¦lia Serrasqueiro
5. Elisabete G. S. Félix
6. Sumaira Ashraf
7. Francesco Ciampi
8. Hadiye Aslan

In Finance

1. N. Wilson
2. G. Sabato
3. Edward I. Altman
4. Z¨¦lia Serrasqueiro
5. Elisabete G. S. Félix
6. Sumaira Ashraf
7. Francesco Ciampi
8. Hadiye Aslan

Citations in the corpus

• Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress? (2019, result): “Nam et al. (2008) found similar results and reported that the hazard model has a higher accuracy level than the static logit model for the Korean firms.”
• The value of non-financial information in small and medium-sized enterprise risk management (2010, background): “Moreover, a subset of SMEs based in the UK have account-filing exemptions, which means that the amount of accounting data available for these companies is quite limited.”