Assessing the Probability of Bankruptcy
By Jarom Heaps. 2015
664 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/4d46bcff754820cc374d223ee10c17c5a4e6b471
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Citations in the corpus
- Z-Score Models’ Application to Italian Companies Subject to Extraordinary Administration (2013, unknown): “1 A few critics: Johnson (1970) and Joy and Tollefson (1975) stigmatized the possible tautology of the model, the excessive broadness of the socalled grey area and the difficulty of application in predicting bankruptcy ex ante.”
- Distressed Firm and Bankruptcy Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model (2014, unknown): “(V) Five models (Altman 1968, Ohlson 1980, Zmijewski 1984, Shumway 2001, Hillegeist et al. 2004) from the literature are used by the authors in order to evaluate their performance with an upto-date data set.”
- Bank competition and financial stability in Asia Pacific (2014, background): “…N( )= the cumulative normal density function = the value of assets D = the face value of debts proxied by total liabilities 9 For example, see Hillegeist et al. (2004), Vassalou and Xing (2004), Gropp et al. (2004, 2006), Akhigbe et al. (2007), ChanLau and Sy (2007), Duffie et al. (2007),…”
- The End of Market Discipline? Investor Expectations of Implicit State Guarantees (2013, methodology): “We follow Campbell, Hilscher and Szilagyi (2008) and Hillegeist et al. (2004) in calculating Merton’s distance to default.”
- Who Uses Financial Reports and for What Purpose? Evidence from Capital Providers (2014, unknown): “Which models perform best is still unresolved (Hillegeist et al., 2004; Campbell et al., 2008), but the work of Beaver et al. (2010) suggests that the information not reflected in accounting adds little explanatory power.”