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Symposium: Financial Development and Regulation; Guest Editors: Chung-Hua Shen, HaiChi Lee, Xu Li, and Xiaojian Liu

Can Listing Information Indicate Borrower Credit Risk in Online Peer-to-Peer Lending?

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Xiaotao Zhang, Yuelei Li, Wei Zhang & Jieli Xing. (2023) The role of narrative style in a peer-to-peer lending market: an empirical investigation. Asia-Pacific Journal of Accounting & Economics 30:1, pages 156-171.
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Rongda Chen, Shengnan Wang, Zhenghao Zhu, Jingjing Yu & Chao Dang. (2023) Credit ratings of Chinese online loan platforms based on factor scores and K-means clustering algorithm. Journal of Management Science and Engineering 8:3, pages 287-304.
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Qi Wang, Xin Liu & Chenghu Zhang. (2022) Evolutionary game analysis of FinTech transformation: A social co-governance pattern of peer-to-peer lending market in China. Frontiers in Psychology 13.
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Yezhou Sha. (2022) Rating manipulation and creditworthiness for platform economy: Evidence from peer-to-peer lending. International Review of Financial Analysis 84, pages 102393.
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Min Tu & Fangqiang Zhong. (2022) Research on Risk Assessment Model of P2P Lending Network Platform. Research on Risk Assessment Model of P2P Lending Network Platform.
Yi Liu, Menglong Yang, Yudong Wang, Yongshan Li, Tiancheng Xiong & Anzhe Li. (2022) Applying machine learning algorithms to predict default probability in the online credit market: Evidence from China. International Review of Financial Analysis 79, pages 101971.
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Pei-Fen Chen, Shihmin Lo & Hai-Yuan Tang. (2022) What if borrowers stop paying their loans? Investors’ rates of return on a peer-to-peer lending platform. International Review of Economics & Finance 77, pages 359-377.
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Panagiotis E. Dimitropoulos. 2022. Business Advancement through Technology Volume I. Business Advancement through Technology Volume I 73 96 .
Qizhi He, Pingfan Xia, Bo Li & Jia-Bao Liu. (2021) Evaluating Investors’ Recognition Abilities for Risk and Profit in Online Loan Markets Using Nonlinear Models and Financial Big Data. Journal of Function Spaces 2021, pages 1-15.
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Miller-Janny Ariza-Garzón, María-Del-Mar Camacho-Miñano, María-Jesús Segovia-Vargas & Javier Arroyo. (2021) Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions. Electronic Commerce Research and Applications 49, pages 101079.
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Shabeen A. Basha, Mohammed M. Elgammal & Bana M. Abuzayed. (2021) Online peer-to-peer lending: A review of the literature. Electronic Commerce Research and Applications 48, pages 101069.
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Hong Liu, Mingkang Yuan & Meiling Zhou. (2021) How Does the Urgency of Borrowing in Text Messages Affect Loan Defaults? Evidence from P2P Loans in China. Security and Communication Networks 2021, pages 1-13.
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Jin Huang, Vania Sena, Jun Li & Sena Ozdemir. (2021) Message framing in P2P lending relationships. Journal of Business Research 122, pages 761-773.
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Haifeng Guo, Ke Peng, Xiaolei Xu, Shuai Tao & Zhen Wu. (2020) The Prediction Analysis of Peer-to-Peer Lending Platforms Default Risk Based on Comparative Models. Scientific Programming 2020, pages 1-10.
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Weiguo Zhang, Chao Wang, Yue Zhang & Junbo Wang. (2020) Credit risk evaluation model with textual features from loan descriptions for P2P lending. Electronic Commerce Research and Applications 42, pages 100989.
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Chao Wang, Weiguo Zhang, Xuejin Zhao & Junbo Wang. (2019) Soft information in online peer-to-peer lending: Evidence from a leading platform in China. Electronic Commerce Research and Applications 36, pages 100873.
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Asta GaigalienėDovydas Česnys. (2018) Determinants of Default in Lithuanian Peer-To-Peer Platforms. Management of Organizations: Systematic Research 80:1, pages 19-36.
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