Recent developments in consumer credit risk assessment
By Jonathan N. Crook, David E. Edelman, Lyn C. Thomas. European Journal of Operational Research, 2007
489 citations recorded by the source corpus.
Subfields: Accounting, Artificial Intelligence, Finance
View Paper: https://www.semanticscholar.org/paper/b8a99196da6912a43ad0b9d63a081f232bfe6f54
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Margarita Protopappa-Sieke
- Quyen Ho
- Bernardete Ribeiro
- Ana Isabel Marqués
- Bing Zhu
- An Chen
- Vicente García
- Wenchuan Yang
In Artificial Intelligence
- Margarita Protopappa-Sieke
- Quyen Ho
- Bernardete Ribeiro
- Ana Isabel Marqués
- Bing Zhu
- An Chen
- Vicente García
- Wenchuan Yang
In Finance
- Margarita Protopappa-Sieke
- Quyen Ho
- Bernardete Ribeiro
- Bing Zhu
- An Chen
- Wenchuan Yang
- Ningshan Chen
- Daniel Seifert
Citations in the corpus
- Financial credit risk assessment: a recent review (2015, methodology): “…methods Balcaen and Ooghe (2006) 2007 Statistical and machine learning methods Bellovary et al. (2007) 2007 Statistical and machine learning methods Crook et al. (2007) 2007 Statistical and machine learning methods Ravi Kumar and Ravi (2007) 2010 Hybrid and ensemble techniques Verikas et al.…”
- A hybrid deep learning model for consumer credit scoring (2018, background): “The idea of credit scoring model is trying to use characteristics of consumers like age, gender, saving amount, employment status and so on, to determine whether customers are credit-worthy or not [2].”
- Machine Learning in Financial Crisis Prediction: A Survey (2012, unknown): “In contrast, in [33] several related studies were reviewed to assess consumer credit risk, using statistical and machine-learning techniques, comparing the predictive accuracy of various classifiers.”
- A literature review on the application of evolutionary computing to credit scoring (2013, background): “The effects of Basel II on the competitive advantage of an institution are so large that research on the adequacy, applicability, and validity of the adopted systems is set to be a cardinal research initiative (Crook et al , 2007).”
- Credit scoring model: A combination of genetic programming and deep learning (2016, background): “5] A7 [0, 1] A8 [0, 1] A9 [0, 67] A10 [0, 1] A11 [1, 3] A12 [0, 2000] A13 [1, 100001] Y [1, 2]”
- A review of trade credit literature: Opportunities for research in operations (2013, methodology): “readily available (Rosenberg and Gleit, 1994; Thomas, 2000; Crook et al., 2007).”