A Review of Bankruptcy Prediction Studies: 1930 to Present
By Jodi L. Gissel, Don E. Giacomino, Michael D. Akers. 2006
552 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/d364268c366d18c3a247ebc850950fb5b98a3c09
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Citations in the corpus
- Financial credit risk assessment: a recent review (2015, methodology): “Dimensionality reduction is closely related to financial credit risk assessment in the sense that the financial databases usually comprise considerable variables ranging from one to 50s (Bellovary et al. 2007).”
- Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction (2019, background): “[22], six out of the top eight Bankruptcy Prediction Model (BPM) are Artificial Intelligence (AI) based.”
- Remaining Financially Healthy and Competitive: The Role of Financial Predictors (2020, methodology): “Bellovary et al. (2007) analyzed 165 predictive models developed before 2004 in which 752 different variables were used in the models, with up to 674 of these variables used in only one or two models.”