Analysis of the Impact of Collateral on Peer-to-Peer Lending

被引:0
|
作者
Lee, Yu-Wei [1 ]
Chen, Shu-Heng [1 ]
Yu, Tina [1 ]
机构
[1] Natl Chengchi Univ, Dept Econ, AI ECON Res Ctr, Taipei, Taiwan
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Peer-to-Peer (P2P) lending provides online services that match lenders with borrowers. Although the service is cheaper and faster than the traditional financial institutions, P2P lending may have high defaults, which the lenders may never recover. One remedy to this situation is collateral: a fund that is reserved to pay off the defaulted loans. However, implementing an effective collateral requires the consideration of many issues such as governmental regulations, borrowers' credit and the lending interest rates, so that the collateral won't deter potential customers. This research investigates the impact of collateral on P2P lending. We first developed a theoretical model to analyze the P2P lending with and without collateral. The results show collateral increases both the lenders' willingness to offer loans and the borrowers' loan payoff probability, hence leads to more successful transactions. Next, we validate the analytical results by conducting simulation using the Bianconi-Barabasi network model. The results show the P2P lending network with collateral has a more balanced degree distribution than that without collateral, indicating financial transactions are not dominated by a few but shared by more customers under collateral. Consequently, P2P lending with collateral is less vulnerable to system risks generated by a few big players. Both results support collateral as an effective mechanism to achieve more stable P2P operation, to generate more successful transactions and to benefit more customers in satisfying their financial and investment goals.
引用
收藏
页码:77 / 82
页数:6
相关论文
共 50 条
  • [1] The Expansion of Peer-to-Peer Lending
    Havrylchyk, Olena
    Mariotto, Carlotta
    Rahim, Talal
    Verdier, Marianne
    [J]. REVIEW OF NETWORK ECONOMICS, 2021, 19 (03) : 145 - 187
  • [2] Social collateral, soft information and online peer-to-peer lending: A theoretical model
    Liu, Zhengchi
    Shang, Jennifer
    Wu, Shin-yi
    Chen, Pei-yu
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2020, 281 (02) : 428 - 438
  • [3] Visual analysis of risks in peer-to-peer lending market
    Xiao, Zhao
    Li, Yuelei
    Zhang, Kang
    [J]. PERSONAL AND UBIQUITOUS COMPUTING, 2018, 22 (04) : 825 - 838
  • [4] Credit Risk Analysis in Peer-to-Peer Lending System
    Kumar, Vinod L.
    Natarajan, S.
    Keerthana, S.
    Chinmayi, K. M.
    Lakshmi, N.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND APPLICATIONS (ICKEA 2016), 2016, : 193 - 196
  • [5] Visual analysis of risks in peer-to-peer lending market
    Zhao Xiao
    Yuelei Li
    Kang Zhang
    [J]. Personal and Ubiquitous Computing, 2018, 22 : 825 - 838
  • [6] Drivers of lending decision in peer-to-peer lending in Malaysia
    Khan, Mohammad Tariqul Islam
    Xuan, Yong Yee
    [J]. REVIEW OF BEHAVIORAL FINANCE, 2022, 14 (03) : 379 - 393
  • [7] Is blockchain a cure for peer-to-peer lending?
    Wangcheng Yan
    Wenjun Zhou
    [J]. Annals of Operations Research, 2023, 321 : 693 - 716
  • [8] Peer-to-Peer Lending: Opportunities and Risks
    Lenz, Rainer
    [J]. EUROPEAN JOURNAL OF RISK REGULATION, 2016, 7 (04) : 688 - 700
  • [9] Bankruptcy Exemption and Peer-to-Peer Lending
    Zhang, Luxiu
    Zhao, Ruirui
    Wang, Bo
    Wang, Haizhi
    Zhao, Tianyu
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2022, 58 (03) : 863 - 882
  • [10] The liquidity aspects of peer-to-peer lending
    Olvedi, Timea
    [J]. STUDIES IN ECONOMICS AND FINANCE, 2022, 39 (01) : 45 - 62