Predicting corporate bankruptcy: where we stand?
By M. Aziz, Humayon A. Dar. 2006
438 citations recorded by the source corpus.
Subfields: Accounting, Finance
View Paper: https://www.semanticscholar.org/paper/4195f5b5f1fa0e5052f7e1da0c2d560547f4af16
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
In Finance
Citations in the corpus
- The performance of insolvency prediction and credit risk models in the UK : a comparative study, development and wider application (2012, positive): “A meta-analysis by Aziz and Dar (2006) considers a number of methods and techniques from a sample of 89 empirical studies (although there is little representation of market-based contingent claims type models).”
- Early warning models against bankruptcy risk for Central European and Latin American enterprises (2013, methodology): “According to research conducted by Aziz and Dar on forecasting bankruptcy risk, 64% of case studies used statistical models, 25% soft computing techniques, and 11% other types of models (Aziz and Dar, 2006).”
- Voluntary corporate governance structure and financial distress: Evidence from Australia (2015, result): “Consistent with the findings of Chen and Church (1992) and Flagg et al. (1993), the AUDITOPN variable is also significant, suggesting that firms receiving an unsatisfactory audit opinion are more likely to experience 6 The marginal effects are obtained using the post-estimation margins command…”