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Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending

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Cited by:

  1. Li, ZhouPing & Ge, RuYi & Guo, XiaoShuang & Cai, Lingfei, 2021. "Can individual investors learn from experience in online P2P lending? Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  2. Wang, Bo & Yu, Yunjun & Yang, Ziying & Zhang, Xiaomei, 2021. "Microfinance institutions and Peer-to-Peer lending: What does microfinance competition bring?," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
  3. Golnoosh Babaei & Shahrooz Bamdad, 2021. "A New Hybrid Instance-Based Learning Model for Decision-Making in the P2P Lending Market," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 419-432, January.
  4. Li, Yibei & Wang, Ximei & Djehiche, Boualem & Hu, Xiaoming, 2020. "Credit scoring by incorporating dynamic networked information," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1103-1112.
  5. Wu, Bao & Liu, Zijia & Gu, Qiuyang & Tsai, Fu-Sheng, 2023. "Underdog mentality, identity discrimination and access to peer-to-peer lending market: Exploring effects of digital authentication," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
  6. Kräussl, Roman & Kräussl, Zsofia & Pollet, Joshua & Rinne, Kalle, 2024. "The performance of marketplace lenders," Journal of Banking & Finance, Elsevier, vol. 162(C).
  7. Gaigalienė Asta & Česnys Dovydas, 2018. "Determinants of Default in Lithuanian Peer-To-Peer Platforms," Management of Organizations: Systematic Research, Sciendo, vol. 80(1), pages 19-36, December.
  8. Mingfeng Tang & Mei Mei & Cuiwen Li & Xingyang Lv & Xushuang Li & Lihao Wang, 2020. "How does an individual’s default behavior on an online peer-to-peer lending platform influence an observer’s default intention?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-20, December.
  9. Dorfleitner, Gregor & Rad, Jacqueline & Weber, Martina, 2017. "Pricing in the online invoice trading market: First empirical evidence," Economics Letters, Elsevier, vol. 161(C), pages 56-61.
  10. Wolfgang Pointner & Burkhard Raunig, 2018. "A primer on peer-to-peer lending: immediate financial intermediation in practice," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3/18, pages 36-51.
  11. Andrew Grant & Luke Deer, 2020. "Consumer marketplace lending in Australia: Credit scores and loan funding success," Australian Journal of Management, Australian School of Business, vol. 45(4), pages 607-623, November.
  12. Zhang, Zan & Hu, Wenjun & Chang, Tsangyao, 2019. "Nonlinear effects of P2P lending on bank loans in a Panel Smooth Transition Regression model," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 468-473.
  13. Xi Yang & Wenjuan Fan & Shanlin Yang, 2020. "Identifying the Influencing Factors on Investors’ Investment Behavior: An Empirical Study Focusing on the Chinese P2P Lending Market," Sustainability, MDPI, vol. 12(13), pages 1-21, July.
  14. 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).
  15. 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).
  16. 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.
  17. Jin, Ming & Yin, Mingmei & Chen, Zhongfei, 2021. "Do investors prefer borrowers from high level of trust cities? Evidence from China’s P2P market," Research in International Business and Finance, Elsevier, vol. 58(C).
  18. Zhao Wang & Cuiqing Jiang & Huimin Zhao, 2022. "Know Where to Invest: Platform Risk Evaluation in Online Lending," Information Systems Research, INFORMS, vol. 33(3), pages 765-783, September.
  19. Li, Aimin & Li, Zhiyong & Bellotti, Anthony, 2023. "Predicting loss given default of unsecured consumer loans with time-varying survival scores," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
  20. Zhou Rongxi & Xiong Yahui & Wang Ning & Wang Xizu, 2019. "Coupling Degree Evaluation of China’s Internet Financial Ecosystem Based on Entropy Method and Principal Component Analysis," Journal of Systems Science and Information, De Gruyter, vol. 7(5), pages 399-421, October.
  21. Mousumi Munmun & Dongli Zhang & Charles C. Luo, 2024. "Peer-to-Peer Lending Performance Improvement: Learn from Lean Principles," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(1), pages 101-101, February.
  22. Serena Gallo, 2021. "Fintech platforms: Lax or careful borrowers’ screening?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-33, December.
  23. Gao, Wei & Ju, Ming & Yang, Tongyang, 2023. "Severe weather and peer-to-peer farmers’ loan default predictions: Evidence from machine learning analysis," Finance Research Letters, Elsevier, vol. 58(PA).
  24. Ajay Byanjankar & József Mezei & Markku Heikkilä, 2021. "Data‐driven optimization of peer‐to‐peer lending portfolios based on the expected value framework," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(2), pages 119-129, April.
  25. Lin, Saiyan & Chen, Rongda & Lv, Zhihong & Zhou, Tianqing & Jin, Chenglu, 2019. "Integrated measurement of liquidity risk and market risk of company bonds based on the optimal Copula model," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
  26. Michal Polena & Tobias Regner, 2018. "Determinants of Borrowers’ Default in P2P Lending under Consideration of the Loan Risk Class," Games, MDPI, vol. 9(4), pages 1-17, October.
  27. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
  28. Saman Adhami & Gianfranco Gianfrate & Sofia Johan, 2023. "Risks and returns in crowdlending," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 309-340, June.
  29. Jaromir Tichy & Michal Bock, 2017. "Assessment of Investor’s Portfolio of P2P Loans and Structured Certificates of P2P Loans," ACTA VSFS, University of Finance and Administration, vol. 11(2), pages 121-143.
  30. Liu, Aiping & Urquía-Grande, Elena & López-Sánchez, Pilar & Rodríguez-López, Ángel, 2023. "Research into microfinance and ICTs: A bibliometric analysis," Evaluation and Program Planning, Elsevier, vol. 97(C).
  31. 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).
  32. 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.
  33. Malek Hamouda & Imen Mejri & Donia Trabelsi, 2017. "Crowdequity et Crowdlending : deux alternatives de financement des TPE/PME. Le cas de l'entreprise Gifts for change," Post-Print hal-02373759, HAL.
  34. Xinyuan Wei & Jun-ya Gotoh & Stan Uryasev, 2018. "Peer-To-Peer Lending: Classification in the Loan Application Process," Risks, MDPI, vol. 6(4), pages 1-17, November.
  35. 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).
  36. Ji-Yoon Kim & Sung-Bae Cho, 2019. "Towards Repayment Prediction in Peer-to-Peer Social Lending Using Deep Learning," Mathematics, MDPI, vol. 7(11), pages 1-17, November.
  37. Nigmonov, Asror & Shams, Syed & Alam, Khorshed, 2022. "Macroeconomic determinants of loan defaults: Evidence from the U.S. peer-to-peer lending market," Research in International Business and Finance, Elsevier, vol. 59(C).
  38. Kaveh Bastani & Elham Asgari & Hamed Namavari, 2018. "Wide and Deep Learning for Peer-to-Peer Lending," Papers 1810.03466, arXiv.org, revised Oct 2018.
  39. Samuel Ribeiro-Navarrete & Juan Piñeiro-Chousa & M. Ángeles López-Cabarcos & Daniel Palacios-Marqués, 2022. "Crowdlending: mapping the core literature and research frontiers," Review of Managerial Science, Springer, vol. 16(8), pages 2381-2411, November.
  40. Cuiqing Jiang & Zhao Wang & Ruiya Wang & Yong Ding, 2018. "Loan default prediction by combining soft information extracted from descriptive text in online peer-to-peer lending," Annals of Operations Research, Springer, vol. 266(1), pages 511-529, July.
  41. 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.
  42. 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.
  43. Xiao-hong Chen & Fu-jing Jin & Qun Zhang & Li Yang, 2016. "Are investors rational or perceptual in P2P lending?," Information Systems and e-Business Management, Springer, vol. 14(4), pages 921-944, November.
  44. Wang, Qi & Xiong, Xiong & Zheng, Zunxin, 2021. "Platform Characteristics and Online Peer-to-Peer Lending: Evidence from China," Finance Research Letters, Elsevier, vol. 38(C).
  45. Štefan Lyócsa & Petra Vašaničová & Branka Hadji Misheva & Marko Dávid Vateha, 2022. "Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-21, December.
  46. Li, Zhiyong & Li, Aimin & Bellotti, Anthony & Yao, Xiao, 2023. "The profitability of online loans: A competing risks analysis on default and prepayment," European Journal of Operational Research, Elsevier, vol. 306(2), pages 968-985.
  47. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Luz López-Palacios, 2015. "Determinants of Default in P2P Lending," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
  48. Asror Nigmonov & Syed Shams, 2021. "COVID-19 pandemic risk and probability of loan default: evidence from marketplace lending market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
  49. Pang, Professor Sulin & Hou, Xianyan & Xia, Lianhu, 2021. "Borrowers’ credit quality scoring model and applications, with default discriminant analysis based on the extreme learning machine," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  50. Pingfan Song & Yunzhi Chen & Zhixiang Zhou & Huaqing Wu, 2018. "Performance Analysis of Peer-to-Peer Online Lending Platforms in China," Sustainability, MDPI, vol. 10(9), pages 1-15, August.
  51. Na Sun & Liangrong Song & Yan Sun, 2021. "Fuze Effect: A Landmine in the Way of Sustainable Development of FinTech—The Lessons from the Peer-To-Peer Risk Outbreak," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
  52. Sajjad Taghiyeh & David C Lengacher & Robert B Handfield, 2020. "Loss Rate Forecasting Framework Based on Macroeconomic Changes: Application to US Credit Card Industry," Papers 2006.07911, arXiv.org.
  53. Aneta Dzik-Walczak & Mateusz Heba, 2019. "A comparison of credit scoring techniques in Peer-to-Peer lending," Working Papers 2019-16, Faculty of Economic Sciences, University of Warsaw.
  54. Yingxiu Zhao & Wei Zhang & Xiangyu Kong, 2019. "Dynamic Cross-Correlations between Participants’ Attentions to P2P Lending and Offline Loan in the Private Lending Market," Complexity, Hindawi, vol. 2019, pages 1-8, December.
  55. Pankaj Kumar Maskara & Emre Kuvvet & Gengxuan Chen, 2021. "The role of P2P platforms in enhancing financial inclusion in the United States: An analysis of peer‐to‐peer lending across the rural–urban divide," Financial Management, Financial Management Association International, vol. 50(3), pages 747-774, September.
  56. Ge Gao & Hongxin Wang & Pengbin Gao, 2021. "Establishing a Credit Risk Evaluation System for SMEs Using the Soft Voting Fusion Model," Risks, MDPI, vol. 9(11), pages 1-12, November.
  57. Sulin Pang & Huili Xian & Rongzhou Li, 2022. "A default penalty model based on C2VP2C mode for internet financial platforms in Chinese market," Electronic Commerce Research, Springer, vol. 22(2), pages 485-511, June.
  58. Baidoo, Edwin & Natarajan, Ramachandran, 2021. "Profit-based credit models with lender’s attitude towards risk and loss," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
  59. 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).
  60. Chen, Pei-Fen & Lo, Shihmin & Tang, Hai-Yuan, 2022. "What if borrowers stop paying their loans? Investors’ rates of return on a peer-to-peer lending platform," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 359-377.
  61. Wang, Chengfu & Chen, Xiangfeng & Jin, Wei & Fan, Xiaojun, 2022. "Credit guarantee types for financing retailers through online peer-to-peer lending: Equilibrium and coordinating strategy," European Journal of Operational Research, Elsevier, vol. 297(1), pages 380-392.
  62. Wang, Congcong & Tong, Lin, 2020. "Lender rationality and trade-off behavior: Evidence from Lending Club and Renrendai," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 55-66.
  63. Xueru Chen & Xiaoji Hu & Shenglin Ben, 2021. "How do reputation, structure design and FinTech ecosystem affect the net cash inflow of P2P lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 21(4), pages 1055-1082, December.
  64. Eid, Nourhan & Maltby, Josephine & Talavera, Oleksandr, 2016. "Income Rounding and Loan Performance in the Peer-to-Peer Market," MPRA Paper 72852, University Library of Munich, Germany.
  65. Zhu, Zongyuan, 2018. "Safety promise, moral hazard and financial supervision: Evidence from peer-to-peer lending," Finance Research Letters, Elsevier, vol. 27(C), pages 1-5.
  66. Joanna Stavins, 2020. "Credit Card Debt and Consumer Payment Choice: What Can We Learn from Credit Bureau Data?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 58(1), pages 59-90, August.
  67. Gao, Guang-Xin & Fan, Zhi-Ping & Fang, Xin & Lim, Yun Fong, 2018. "Optimal Stackelberg strategies for financing a supply chain through online peer-to-peer lending," European Journal of Operational Research, Elsevier, vol. 267(2), pages 585-597.
  68. Yingxiu Zhao & Wei Zhang & Yuelei Li & Shuxing Yin & Yang Yang, 2021. "Crazy gamblers or cautious investors? Evidence from a peer‐to‐peer market in China," Manchester School, University of Manchester, vol. 89(5), pages 507-525, September.
  69. Jianrong Yao & Jiarui Chen & June Wei & Yuangao Chen & Shuiqing Yang, 2019. "The relationship between soft information in loan titles and online peer-to-peer lending: evidence from RenRenDai platform," Electronic Commerce Research, Springer, vol. 19(1), pages 111-129, March.
  70. Antonio Menor-Campos & María de los Baños García-Moreno & Tomás López-Guzmán & Amalia Hidalgo-Fernández, 2019. "Effects of Collaborative Economy: A Reflection," Social Sciences, MDPI, vol. 8(5), pages 1-13, May.
  71. Ahelegbey, Daniel Felix & Giudici, Paolo & Hadji-Misheva, Branka, 2019. "Factorial Network Models To Improve P2P Credit Risk Management," MPRA Paper 92633, University Library of Munich, Germany.
  72. Yuwei Yan & Zhihan Lv & Bin Hu, 2018. "Building investor trust in the P2P lending platform with a focus on Chinese P2P lending platforms," Electronic Commerce Research, Springer, vol. 18(2), pages 203-224, June.
  73. Li, Jianwen, 2023. "MSMEs meet FinTech: Chance or challenge?," Finance Research Letters, Elsevier, vol. 57(C).
  74. Huang, Wenli & Qian, Yanhong & Xu, Nanyan, 2020. "The signaling effects of education in the online lending market: Evidence from China," Economic Modelling, Elsevier, vol. 92(C), pages 268-276.
  75. Chen, Rongda & Xu, Guorui & Xu, Feng & Jin, Chenglu & Yu, Jingjing, 2022. "A clientele effect in online lending markets: Evidence from the comovement between investor sentiment and online lending rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
  76. 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).
  77. 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.
  78. Dang, Chao & Chen, Xinyang & Yu, Shengjie & Chen, Rongda & Yang, Yifan, 2022. "Credit ratings of Chinese households using factor scores and K-means clustering method," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 309-320.
  79. Lu, Haitian & Wang, Bo & Wang, Haizhi & Zhao, Tianyu, 2020. "Does social capital matter for peer-to-peer-lending? Empirical evidence," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
  80. Mengyin Li & Phillip H. Phan & Xian Sun, 2021. "Business Friendliness: A Double-Edged Sword," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
  81. Disli, Mustafa & Jalaly, Shakir, 2024. "The performance of Islamic and conventional microfinance loans in Afghanistan: The Taliban and beyond," Emerging Markets Review, Elsevier, vol. 59(C).
  82. Liu, He & Qiao, Han & Wang, Shouyang & Li, Yuze, 2019. "Platform Competition in Peer-to-Peer Lending Considering Risk Control Ability," European Journal of Operational Research, Elsevier, vol. 274(1), pages 280-290.
  83. Cummins, Mark & Mac an Bhaird, Ciarán & Rosati, Pierangleo & Lynn, Theo, 2020. "Institutional investment in online business lending markets," International Review of Financial Analysis, Elsevier, vol. 71(C).
  84. Yotam Gafni & Ronen Gradwohl & Moshe Tennenholtz, 2024. "Prediction-sharing During Training and Inference," Papers 2403.17515, arXiv.org.
  85. Ahelegbey, Daniel Felix & Giudici, Paolo & Hadji-Misheva, Branka, 2019. "Latent factor models for credit scoring in P2P systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 112-121.
  86. Benjamin Käfer, 2016. "Peer-to-Peer Lending – A (Financial Stability) Risk Perspective," MAGKS Papers on Economics 201622, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  87. Jeremy D. Turiel & Tomaso Aste, 2019. "P2P Loan acceptance and default prediction with Artificial Intelligence," Papers 1907.01800, arXiv.org.
  88. Yeujun Yoon & Yu Li & Yan Feng, 2019. "Factors affecting platform default risk in online peer-to-peer (P2P) lending business: an empirical study using Chinese online P2P platform data," Electronic Commerce Research, Springer, vol. 19(1), pages 131-158, March.
  89. Jong Wook Lee & So Young Sohn, 2021. "Evaluating borrowers’ default risk with a spatial probit model reflecting the distance in their relational network," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-11, December.
  90. Ahelegbey, Daniel & Giudici, Paolo & Pediroda, Valentino, 2023. "A network based fintech inclusion platform," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
  91. Ying Liu & Rui Wang & Jin Qin, 2021. "CEO influence on P2P platform survival: Education and experience do matter!," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 622-634, April.
  92. Chen, Rongda & Chen, Yikai & Jin, Chenglu & Xu, Guorui & Bao, Weiwei & Guo, Kenan, 2021. "Characteristics and mechanisms of not-fully marketized interest rates: Evidence from Chinese online lending," Research in International Business and Finance, Elsevier, vol. 55(C).
  93. Käfer Benjamin, 2018. "Peer-to-Peer Lending – A (Financial Stability) Risk Perspective," Review of Economics, De Gruyter, vol. 69(1), pages 1-25, April.
  94. Caroline Stern, 2017. "Fintechs and their emergence in banking services in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3/17, pages 42-58.
  95. 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.
  96. Liu, Yiting & Baals, Lennart John & Osterrieder, Jörg & Hadji-Misheva, Branka, 2024. "Network centrality and credit risk: A comprehensive analysis of peer-to-peer lending dynamics," Finance Research Letters, Elsevier, vol. 63(C).
  97. Aneta Dzik-Walczak & Mateusz Heba, 2021. "An implementation of ensemble methods, logistic regression, and neural network for default prediction in Peer-to-Peer lending," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 39(1), pages 163-197.
  98. Guangyou Zhou & Yijia Zhang & Sumei Luo, 2018. "P2P Network Lending, Loss Given Default and Credit Risks," Sustainability, MDPI, vol. 10(4), pages 1-15, March.
  99. Dorfleitner, Gregor & Oswald, Eva-Maria & Röhe, Michaela, 2020. "The access of microfinance institutions to financing via the worldwide crowd," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 133-146.
  100. Beibei Niu & Jinzheng Ren & Ansa Zhao & Xiaotao Li, 2020. "Lender Trust on the P2P Lending: Analysis Based on Sentiment Analysis of Comment Text," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
  101. Golnoosh Babaei & Shahrooz Bamdad, 2020. "A neural‐network‐based decision‐making model in the peer‐to‐peer lending market," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 142-150, July.
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