Issues in the Credit Risk Modeling of Retail Markets
By Linda Allen, Gayle DeLong, Anthony Saunders. 2004
188 citations recorded by the source corpus.
Subfields: Accounting, Finance
View Paper: https://www.semanticscholar.org/paper/85bcc88022fd66d1e47bd1765e3f798f2e6bfb67
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- S. Bhaumik
- Stuart A. Fraser
- Mike Wright
- Eliana Angelini
- Andrea Roli
- Giacomo di Tollo
- Douglas J. Cumming
- Arash Bahrammirzaee
In Finance
- Eliana Angelini
- Andrea Roli
- Giacomo di Tollo
- S. Bhaumik
- Stuart A. Fraser
- Mike Wright
- Arash Bahrammirzaee
- Douglas J. Cumming
Citations in the corpus
- A neural network approach for credit risk evaluation (2008, background): “…has been rather crude, with most loans rated as Pass-performing and only a minority of loans differentiated according to the four non-performing classifications (listed in order of declining credit quality): other assets especially mentioned, substandard, doubtful, and loss (Allen et al., 2003).”
- What do we know about entrepreneurial finance and its relationship with growth? (2015, background): “Developments in credit scoring have helped lower the fixed costs of lending and reduce reliance on collateral, improving SME access to finance (Allen et al., 2004; Van Gestel and Baesens, 2009).”