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Original Articles

Influencing factor analysis of credit risk in P2P lending based on interpretative structural modeling

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Pages 777-786 | Received 01 Nov 2015, Published online: 11 Jul 2016

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Read on this site (2)

Deepak Sharma & Pravin Chandra. (2020) Linear regression with factor analysis in fault prediction of software. Journal of Interdisciplinary Mathematics 23:1, pages 11-19.
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Xuchen Lin, Xiaolong Li & Zhong Zheng. (2017) Evaluating borrower’s default risk in peer-to-peer lending: evidence from a lending platform in China. Applied Economics 49:35, pages 3538-3545.
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Articles from other publishers (10)

Izabela Jonek-Kowalska. (2023) P2P transactions as a market innovation from a prosumer perspective: Level of potential involvement and behavioral incentives and disincentives of development. Journal of Open Innovation: Technology, Market, and Complexity 9:3, pages 100140.
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Panagiotis E. Dimitropoulos. 2022. Business Advancement through Technology Volume I. Business Advancement through Technology Volume I 73 96 .
Yu Pan & Beilu Bao. 2021. Frontier Computing. Frontier Computing 1745 1752 .
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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Rui Ma, Xi Lu, Honghao Zhao, Zhangwenhao Li & Yangyi Peng. (2020) A Comparison of Data Mining Approaches on Predicting the Repayment Behavior in P2P Lending. A Comparison of Data Mining Approaches on Predicting the Repayment Behavior in P2P Lending.
Renissa S. Quiñones, June Anne A. Caladcad, Hubert G. Quiñones, Charena J. Castro, Shirley Ann A. Caballes, Dharyll Prince M. Abellana, Eula Margareth Y. Jabilles, Celbert M. Himang & Lanndon A. Ocampo. (2020) Priority Challenges of University Technology Transfer with Interpretative Structural Modeling and MICMAC Analysis. International Journal of Innovation and Technology Management 17:05.
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Jie Wan, Heng Zhang, Xiaoqian Zhu, Xiaolei Sun & Gang Li. (2019) Research on Influencing Factors of P2P Network Loan Prepayment Risk Based on Cox Proportional Hazards. Procedia Computer Science 162, pages 842-848.
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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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Xin Ye, Lu-an Dong & Da Ma. (2018) Loan evaluation in P2P lending based on Random Forest optimized by genetic algorithm with profit score. Electronic Commerce Research and Applications 32, pages 23-36.
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Jianying Xiong, Min Tu & Ying Zhou. (2018) Using Weighted Similarity to Assess Risk of Illegal Fund Raising in Online P2P Lending. International Journal of Digital Crime and Forensics 10:4, pages 62-79.
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