Author:
Arundina Tika,Kartiwi Mira,Omar Mohd. Azmi
Reference60 articles.
1. Huang, Z., Chen, H., Hsu, C.-J., Chen, W.-H., & Wu, S. (2004). Credit rating analysis with support vector machine and neural networks: A market comparative study. Decision Support System, 37, 543–558.
2. Hájek, P., & Olej, V. (2011). Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning. Neural Computing and Applications, 20(6), 761–773. doi: 10.1007/s00521-010-0495-0 .
3. Mizen, P., & Tsoukas, S. (2012). Forecasting US bond default ratings allowing for previous and initial state dependence in an ordered probit model. International Journal of Forecasting, 28(1), 273–287.
4. Novotna, M. (2012, Sept). The use of different approaches for credit rating prediction and their comparison. In Proceedings 6th International Scientific Conference Managing and Modelling of Financial Risks (pp. 448–457). Ostrava.
5. Dainelli, F., Giunta, F., & Cipollini, F. (2013). Determinants of SME credit worthiness under Basel rules: the value of credit history information. PSL Quarterly Review, 66, 21–47.
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