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The role of punctuation in P2P lending: Evidence from China

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  1. Jie Li & Quanyun Song & Yu Wu & Bihong Huang, 2021. "The effects of online consumer credit on household consumption level and structure: Evidence from China," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(4), pages 1614-1632, December.
  2. Mustafa Caglayan & Oleksandr Talavera & Lin Xiong & Jing Zhang, 2022. "What does not kill us makes us stronger: the story of repetitive consumer loan applications," The European Journal of Finance, Taylor & Francis Journals, vol. 28(1), pages 46-65, January.
  3. Kriebel, Johannes & Stitz, Lennart, 2022. "Credit default prediction from user-generated text in peer-to-peer lending using deep learning," European Journal of Operational Research, Elsevier, vol. 302(1), pages 309-323.
  4. Shijun Chai & Li Zhou & Yang Chen, 2023. "Digital Finance and Entrepreneurial Return Rate: Effects, Mechanisms and Inequality," SAGE Open, , vol. 13(4), pages 21582440231, October.
  5. Li, Jianwen & Zhang, Bo & Jiang, Mingming & Hu, Jinyan, 2023. "Homophilous intensity in the online lending market: Bidding behavior and economic effects," Journal of Banking & Finance, Elsevier, vol. 152(C).
  6. Liu, Yi & Yang, Menglong & Wang, Yudong & Li, Yongshan & Xiong, Tiancheng & Li, Anzhe, 2022. "Applying machine learning algorithms to predict default probability in the online credit market: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 79(C).
  7. Dongwoo Kim, 2023. "Can investors’ collective decision-making evolve? Evidence from peer-to-peer lending markets," Electronic Commerce Research, Springer, vol. 23(2), pages 1323-1358, June.
  8. Andreas Dietrich & Reto Rey, 2020. "What Matters to Individual Investors: Price Setting in Online Auctions of P2P Consumer Loans," Papers 2003.11347, arXiv.org, revised Dec 2022.
  9. 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).
  10. Chen, Xiao & Huang, Bihong & Ye, Dezhu, 2020. "Gender gap in peer-to-peer lending: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 112(C).
  11. Jiang, Cuixia & Xu, Qifa & Zhang, Weiming & Li, Mengting & Yang, Shanlin, 2018. "Does automatic bidding mechanism affect herding behavior? Evidence from online P2P lending in China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 39-44.
  12. Yufei Xia & Lingyun He & Yinguo Li & Nana Liu & Yanlin Ding, 2020. "Predicting loan default in peer‐to‐peer lending using narrative data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 260-280, March.
  13. Zhou, Jing & Li, Wei & Wang, Jiaxin & Ding, Shuai & Xia, Chengyi, 2019. "Default prediction in P2P lending from high-dimensional data based on machine learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
  14. Kerry Liu, 2020. "Chinese consumer finance: a primer," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-22, December.
  15. Cai, Wanxiang & Polzin, Friedemann & Stam, Erik, 2021. "Crowdfunding and social capital: A systematic review using a dynamic perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  16. Ge Gao & Mustafa Caglayan & Yuelei Li & Oleksandr Talavera, 2021. "Expert imitation in P2P markets," Manchester School, University of Manchester, vol. 89(5), pages 470-485, September.
  17. Zhang, Xuan & Ouyang, Ruolan & Liu, Ding & Xu, Liao, 2020. "Determinants of corporate default risk in China: The role of financial constraints," Economic Modelling, Elsevier, vol. 92(C), pages 87-98.
  18. Wu, Yu & Zhang, Tong, 2021. "Can credit ratings predict defaults in peer-to-peer online lending? Evidence from a Chinese platform," Finance Research Letters, Elsevier, vol. 40(C).
  19. Ding, Jie & Huang, Jinbo & Li, Yong & Meng, Meichen, 2019. "Is there an effective reputation mechanism in peer-to-peer lending? Evidence from China," Finance Research Letters, Elsevier, vol. 30(C), pages 208-215.
  20. GUO, Jianfeng & LIU, Xiaojie & CUI, Changnan & GU, Fu, 2021. "Influence of nonspecific factors on the interest rate of online peer-to-peer microloans in China," Finance Research Letters, Elsevier, vol. 41(C).
  21. Chen, Shiyi & Gu, Yan & Liu, Qingfu & Tse, Yiuman, 2020. "How do lenders evaluate borrowers in peer-to-peer lending in China?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 651-662.
  22. Li, Jianwen & Hu, Jinyan, 2019. "Does university reputation matter? Evidence from peer-to-peer lending," Finance Research Letters, Elsevier, vol. 31(C), pages 66-77.
  23. Chen, Xiao & Huang, Bihong & Ye, Dezhu, 2019. "The Gender Gap in Peer-to-Peer Lending: Evidence from the People’s Republic of China," ADBI Working Papers 977, Asian Development Bank Institute.
  24. Qun Chen & Ji-Wen Li & Jian-Guo Liu & Jing-Ti Han & Yun Shi & Xun-Hua Guo, 2021. "Borrower Learning Effects: Do Prior Experiences Promote Continuous Successes in Peer-to-Peer Lending?," Information Systems Frontiers, Springer, vol. 23(4), pages 963-986, August.
  25. Qun Chen & Ji-Wen Li & Jian-Guo Liu & Jing-Ti Han & Yun Shi & Xun-Hua Guo, 0. "Borrower Learning Effects: Do Prior Experiences Promote Continuous Successes in Peer-to-Peer Lending?," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
  26. Tian, Geran & Wang, Xiaowen & Wu, Weixing, 2021. "Borrow low, lend high: Credit arbitrage by sophisticated investors," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
  27. Wang, Chao & Wang, Junbo & Wu, Chunchi & Zhang, Yue, 2023. "Voluntary disclosure in P2P lending: Information or hyperbole?," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
  28. Chen, Rongda & Chen, Xinhao & Jin, Chenglu & Chen, Yiyang & Chen, Jiayi, 2020. "Credit rating of online lending borrowers using recovery rates," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 204-216.
  29. Stevenson, Matthew & Mues, Christophe & Bravo, Cristián, 2021. "The value of text for small business default prediction: A Deep Learning approach," European Journal of Operational Research, Elsevier, vol. 295(2), pages 758-771.
  30. Tian, Geran & Wu, Weixing, 2023. "Big data pricing in marketplace lending and price discrimination against repeat borrowers: Evidence from China," China Economic Review, Elsevier, vol. 78(C).
  31. Chen, Shou & Jiang, Xiangqian & He, Hongbo & Zhou, Xi, 2020. "A pricing model with dynamic repayment flows for guaranteed consumer loans," Economic Modelling, Elsevier, vol. 91(C), pages 1-11.
  32. Zhang, Yun & Liu, Yun & Zhang, Yifei & Chen, Xin, 2022. "Globalization blueprint and households’ fintech debt: Evidence from China’s One Belt One Road initiative," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 38-55.
  33. Jianwen Li & Jinyan Hu, 2022. "Migrants and default: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 22(3), pages 472-505, September.
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