Using machine learning to investigate the determinants of loan default in P2P lending : are there differences between before and during COVID-19?
Year of publication: |
2024
|
---|---|
Authors: | Xu, Qi ; Liu, Caixia ; Luo, Jing ; Liu, Feng |
Subject: | COVID-19 | Credit risk | Loan default | Machine learning | Peer-to-peer lending | Kreditrisiko | Künstliche Intelligenz | Artificial intelligence | Coronavirus | Kreditgeschäft | Bank lending | Insolvenz | Insolvency |
-
Forecasting loan default in Europe with machine learning
Barbaglia, Luca, (2023)
-
When words sweat : identifying signals for loan default in the text of loan applications
Netzer, Oded, (2019)
-
Káčer, Marek, (2024)
- More ...
-
Liu, Wenjing, (2024)
-
Firm sustainable growth during the COVID-19 pandemic : the role of customer concentration
Chen, Xuesheng, (2021)
-
Machine learning for predicting corporate violations : how do CEO characteristics matter?
Sun, Ruijie, (2024)
- More ...