Evaluating Consumer Loans using Neural Networks

By R. Malhotra, D. Malhotra. 2003

302 citations recorded by the source corpus.

Subfields: Accounting, Artificial Intelligence, Finance

View Paper: https://www.semanticscholar.org/paper/7a830ceed0db2e7ffd0c1a6938c214868ff13296

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Citations in the corpus

Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach (2015, methodology): “Malhotra and Malhotra [17] state that neural networks are non-linear models that use pattern recognition capabilities for classification.”
Building credit scoring models using genetic programming (2005, methodology): “Recently, ANN has been widely used in credit scoring problems, and it has been reported that its accuracy is superior to the traditional statistical methods such as discriminant analysis and logistic regression (Desai et al., 1996, 1997; Jensen, 1992; Mahlhotra & Malhotra, 2003; Piramuthu, 1999).”
A new fuzzy support vector machine to evaluate credit risk (2005, background): “Recent publications on its application in credit scoring include [17], [18], [21], [22], and [36].”
Credit risk assessment with a multistage neural network ensemble learning approach (2008, background): “Recent studies have revealed that emerging artificial intelligent (AI) techniques, such as artificial neural networks (ANN) (Lai et al., 2006b; Malhotra & Malhotra, 2003; Smalz & Conrad, 1994), genetic algorithm (GA) (Chen & Huang, 2003; Varetto, 1998) and support vector machine (SVM) (Huang, Chen”
Nonlinear neural network forecasting model for stock index option price: Hybrid GJR-GARCH approach (2009, unknown): “All rights reserved. doi:10.1016/j.eswa.2007.09.056 E-mail address: holland@mail2000.com.tw ruptcy (Ahn, Cho, & Kim, 2000; Altman, Marco, & Varetto, 1994; Mahlhotra & Malhotra, 2003; Tam & Kiang, 1992).”
Credit Scoring, Statistical Techniques and Evaluation Criteria: A Review of the Literature (2011, background): “Meanwhile, comparisons between traditional and advanced statistical techniques have been investigated too (Abdou & Pointon, 2009; Abdou et al. 2009; Lee & Chen 2005; Ong et al, 2005; Zekic-Susac et al, 2004; Malhotra & Malhotra, 2003; Lee et al, 2002; Fritz & Hosemann, 2000).”
Credit scoring model: A combination of genetic programming and deep learning (2016, background): “The combination of a large number of perceptrons made ANN can create functions as much complex as you want [15], [16].”
Credit Scoring Models Using Soft Computing Methods: A Survey (2010, background): “[21] Perf MLP MDA (1) Credit Union Data”
Machine Learning in Banking Risk Management: A Literature Review (2019, background): “…Abbod 2016a; Ala’Raj and Abbod 2016b; Bellotti and Crook 2009; Cao et al. 2013; Van Gestel et al. 2003; Guegan et al. 2018; Huang et al. 2007; Keramati and Youseﬁ 2011; Lai et al. 2006; Lessmann et al. 2015; Van-Sang and Nguyen 2016; Malhotra and Malhotra 2003; Wang et al. 2015; W ó jcicka 2017).”
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010, methodology): “The work done by [37] compared ANN with backpropagation with multiple discriminant analyses (MDA).”