An empirical study on credit card loan delinquency
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DOI: 10.1016/j.ecosys.2017.11.003
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Cited by:
- Vasilios Giannopoulos & Eleftherios Aggelopoulos, 2019. "Predicting SME loan delinquencies during recession using accounting data and SME characteristics: The case of Greece," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(2), pages 71-82, April.
- Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2022. "Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1231-1249, March.
- Song Joonhyuk & Ryu Doojin, 2021. "Houses as Collateral and Household Debt Deleveraging in Korea," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 3-27, January.
- Li, Yanru & Wang, Haijun & Gao, Huikun & Li, Qinghai & Sun, Guanglin, 2024. "Credit rating, repayment willingness and farmer credit default," International Review of Financial Analysis, Elsevier, vol. 93(C).
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More about this item
Keywords
Account-level dataset; Credit card loan; Delinquency risk; Emerging market; Multinomial logit;All these keywords.
JEL classification:
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
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