PREDICTING FINANCIAL DISTRESS OF COMPANIES: REVISITING THE Z-SCORE AND ZETA ® MODELS
By Edward I. Altman. 2013
785 citations recorded by the source corpus.
Subfields: Accounting, Artificial Intelligence, Finance
View Paper: https://www.semanticscholar.org/paper/c8ec00776b5bd31256c59f64fd4d9831abb99cf0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Michelle Hanlon
- Terry Shevlin
- Nemit Shroff
- John R. Graham
- Phillip T. Lamoreaux
- A. Fard
- Praveen Kumar
- Incheol Kim
In Artificial Intelligence
- Phillip T. Lamoreaux
- Nemit Shroff
- Terry Shevlin
- A. Fard
- John R. Graham
- Praveen Kumar
- Michelle Hanlon
- Incheol Kim
In Finance
- Michelle Hanlon
- Nemit Shroff
- Terry Shevlin
- Phillip T. Lamoreaux
- A. Fard
- John R. Graham
- Praveen Kumar
- Incheol Kim
Citations in the corpus
- Strategic Ownership Structure and the Cost of Debt (2012, methodology): “Next, we empirically proxy the project return distribution function (related to the liquidity default risk) by Altman’sZ-score (Altman 1968, 2000), which is negatively associated with default risk and is frequently used in the literature.19 We also use an indicator for investment-grade credit…”
- Does PCAOB Inspection Access Improve Audit Quality? An Examination of Foreign Firms Listed in the United States (2016, background): “the Altman (2000) probability of bankruptcy score (Fargher and Jiang, 2008).”
- Environmental regulation and the cost of bank loans: International evidence (2020, methodology): “In the next step, following Altman (2000), we use modified Altman Z-score to examine whether the stringency of environmental regulation affects firms’ bankruptcy risk.”
- Incentives for Tax Planning and Avoidance: Evidence from the Field (2014, methodology): “Z Score is the bankruptcy score from Altman (1968 and 2000).”