Predicting loan default in peer‐to‐peer lending using narrative data
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DOI: 10.1002/for.2625
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References listed on IDEAS
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Citations
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Cited by:
- Mario Sanz-Guerrero & Javier Arroyo, 2024. "Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending," Papers 2401.16458, arXiv.org, revised Aug 2024.
- Zhao, Shuping & Xu, Kai & Wang, Zhao & Liang, Changyong & Lu, Wenxing & Chen, Bo, 2022. "Financial distress prediction by combining sentiment tone features," Economic Modelling, Elsevier, vol. 106(C).
- Xia, Yufei & Zhao, Junhao & He, Lingyun & Li, Yinguo & Yang, Xiaoli, 2021. "Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1590-1613.
- Modina, Michele & Pietrovito, Filomena & Gallucci, Carmen & Formisano, Vincenzo, 2023. "Predicting SMEs’ default risk: Evidence from bank-firm relationship data," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 254-268.
- Jabeur, Sami Ben & Gharib, Cheima & Mefteh-Wali, Salma & Arfi, Wissal Ben, 2021. "CatBoost model and artificial intelligence techniques for corporate failure prediction," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
- Stefano Filomeni & Udichibarna Bose & Anastasios Megaritis & Athanasios Triantafyllou, 2024. "Can market information outperform hard and soft information in predicting corporate defaults?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3567-3592, July.
- Tian, Geran & Wang, Xiaowen & Wu, Weixing, 2021. "Borrow low, lend high: Credit arbitrage by sophisticated investors," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
- Ligang Zhou & Chao Ma, 2023. "A Comparison of Different Rules on Loans Evaluation in Peer-to-Peer Lending by Gradient Boosting Models Under Moving Windows with Two Timestamps," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1481-1504, December.
- Hyunwoo Woo & So Young Sohn, 2022. "A credit scoring model based on the Myers–Briggs type indicator in online peer-to-peer lending," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
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