Consumer Credit Models: Pricing, Profit and Portfolios
By A. Savvopoulos. 2010
107 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/27263d0f9e3ec0e51be16ae58af20130c5e3fa1b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Amir Ehsan Khandani
- Andrew W. Lo
- Hui Xiong
- Nuria Oliver
- M. Malik
- Lyn C. Thomas
- Chuanren Liu
- Emmanuel Letouzé
In Finance
- Amir Ehsan Khandani
- Andrew W. Lo
- Adlar Jeewook Kim
- M. Malik
- Lyn C. Thomas
- John Douglas Opdyke
- Sylvain Chassang
- S. Hall
Citations in the corpus
- Transition Matrix Models of Consumer Credit Ratings (2012, methodology): “…first highlighted during the development of the Basel Accord, when a corporate credit risk model was used to calculate the regulatory capital for all types of loans ( BCBS 2005) even though the basic idea of such a model – that default occurs when debts exceed assets – is not the reason why…”
- The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good (2016, background): “However, this approach is mainly based on the past financial history of customers (people or businesses) [81], and thus not adequate to provide credit access to people or businesses when no financial history is available.”
- Instance-based credit risk assessment for investment decisions in P2P lending (2016, background): “A number of examples include logistic regression (Wiginton, 1980; Thomas, 2009), linear discriminate analysis (Rosenberg & Gleit, 1994), k-nearest neighbors (Chatterjee & Barcun, 1970), classification trees (Feldman & Gross, 2005), Markov chains (Frydman et al.”
- Consumer Credit Risk Models Via Machine-Learning Algorithms (2010, background): “5See Hand and Henley (1997) and Thomas (2009) for reviews of traditional and more recent statistical modeling approaches to credit scoring.”