Credit Scoring and Loan Default
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Cited by:
- Lkhagvadorj Munkhdalai & Tsendsuren Munkhdalai & Oyun-Erdene Namsrai & Jong Yun Lee & Keun Ho Ryu, 2019. "An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments," Sustainability, MDPI, vol. 11(3), pages 1-23, January.
- Andrew Grant & Luke Deer, 2020. "Consumer marketplace lending in Australia: Credit scores and loan funding success," Australian Journal of Management, Australian School of Business, vol. 45(4), pages 607-623, November.
- David Byrne & Robert Kelly & Conor O'Toole, 2022.
"How Does Monetary Policy Pass‐Through Affect Mortgage Default? Evidence from the Irish Mortgage Market,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(7), pages 2081-2101, October.
- Byrne, David & Kelly, Robert & O'Toole, Conor, 2017. "How does monetary policy pass-through affect mortgage default? Evidence from the Irish mortgage market," Research Technical Papers 04/RT/17, Central Bank of Ireland.
- Yushu Zhu, 2017. "Call it good, bad or no news? The valuation effect of debt issues," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 1203-1229, December.
- Chandrasekhar Valluri & Sudhakar Raju & Vivek H. Patil, 2022. "Customer determinants of used auto loan churn: comparing predictive performance using machine learning techniques," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 279-296, September.
- David Pla-Santamaria & Mila Bravo & Javier Reig-Mullor & Francisco Salas-Molina, 2021. "A multicriteria approach to manage credit risk under strict uncertainty," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 494-523, July.
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