Determinants of defaults on P2P lending platforms in China
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DOI: 10.1016/j.iref.2020.11.012
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Citations
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Cited by:
- Ho, Kung-Cheng & Gu, Yan & Yan, Cheng & Gozgor, Giray, 2024. "Peer effects in the online peer-to-peer lending market: Ex-ante selection and ex-post learning," International Review of Financial Analysis, Elsevier, vol. 92(C).
- Sha, Yezhou, 2022. "Rating manipulation and creditworthiness for platform economy: Evidence from peer-to-peer lending," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Yeh, Jen-Yin & Chiu, Hsin-Yu & Huang, Jhih-Huei, 2024. "Predicting failure of P2P lending platforms through machine learning: The case in China," Finance Research Letters, Elsevier, vol. 59(C).
- Hui Zheng & Xuexu Piao & Sangmoon Park, 2021. "The Role of Founder-CEO, Human Capital and Legitimacy in Venture Capital Financing in China’s P2P Lending Industry," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
- Wang, Jin & Li, Rui, 2023. "Asymmetric information in peer-to-peer lending: empirical evidence from China," Finance Research Letters, Elsevier, vol. 51(C).
- Li, Jianwen, 2023. "MSMEs meet FinTech: Chance or challenge?," Finance Research Letters, Elsevier, vol. 57(C).
- Kgoroeadira, Reabetswe & Burke, Andrew & Di Pietro, Francesca & van Stel, André, 2023. "Determinants of firms’ default on unsecured loans in the P2P crowdfunding market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
- Jen-Yin Yeh & Hsin-Yu Chiu & Jhih-Huei Huang, 2023. "Predicting Failure of P2P Lending Platforms through Machine Learning: The Case in China," Papers 2311.14577, arXiv.org.
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Keywords
Peer-to-peer lending; Online P2P Lending platforms; Default; Determinants; Liquidity; Failure prediction; Decomposition methods;All these keywords.
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