WILL PEER-TO-PEER ONLINE LENDING AFFECT THE EFFECTIVENESS OF MONETARY POLICY?

被引:3
|
作者
Su, Chi Wei [1 ,2 ,3 ]
Liu, Xiaofeng [3 ]
Vatavu, Sorana [4 ]
Dumitrescu Peculea, Adelina [5 ]
机构
[1] Yunnan Univ Finance & Econ, Sch Finance, Kunming, Peoples R China
[2] Univ Antonio de Nebrija, Madrid, Spain
[3] Qingdao Univ, Sch Econ, Qingdao, Peoples R China
[4] West Univ Timisoara, Dept Finance, Fac Econ & Business Adm, Timisoara, Romania
[5] Natl Univ Polit Studies & Publ Adm, Dept Econ & Publ Pol, Bucharest, Romania
关键词
online peer-to-peer lending; money supply; causal relationship; Internet finance; time-varying; PARAMETER INSTABILITY; TESTS; MONEY;
D O I
10.3846/tede.2024.19334
中图分类号
F [经济];
学科分类号
02 ;
摘要
Online lending is a product of digital transformation, which has had a profound impact on the traditional money market. This paper discusses the impact of peer-topeer (P2P) online lending on the effectiveness of monetary policy. Through the bootstrap sub-sample rolling-window Granger causality tests show that P2P has both positive and negative impacts on the money supply (M2). The positive impact of P2P on M2 indicates that online loans increase the amount of money supply. The negative impact of P2P on M2 shows that it may cut the money supply, thus weakening the monetary policy effectiveness. The general equilibrium model is inconsistent with these results, which underlines a positive effect from P2P to M2. In turn, the negative impact points out that the adjustment of monetary policy will hinder the development of P2P. The negative impact of M2 on P2P indicates that through the regulation of money supply, the online lending market can be correctly guided to prevent financial market from getting out of control. Through the supervision of online lending industry, we can accurately grasp the development of the internet financial industry and reduce its impact on monetary policy.
引用
收藏
页数:22
相关论文
共 50 条
  • [21] Platform Characteristics and Online Peer-to-Peer Lending: Evidence from China
    Wang, Qi
    Xiong, Xiong
    Zheng, Zunxin
    FINANCE RESEARCH LETTERS, 2021, 38
  • [22] Evaluating the risk performance of online peer-to-peer lending platforms in China
    Wu, Chong
    Zhang, Dong
    Wang, Ying
    JOURNAL OF RISK MODEL VALIDATION, 2018, 12 (02): : 63 - 87
  • [23] A trust model for online peer-to-peer lending: a lender’s perspective
    Dongyu Chen
    Fujun Lai
    Zhangxi Lin
    Information Technology and Management, 2014, 15 : 239 - 254
  • [24] Drivers of lending decision in peer-to-peer lending in Malaysia
    Khan, Mohammad Tariqul Islam
    Xuan, Yong Yee
    REVIEW OF BEHAVIORAL FINANCE, 2022, 14 (03) : 379 - 393
  • [25] Is blockchain a cure for peer-to-peer lending?
    Wangcheng Yan
    Wenjun Zhou
    Annals of Operations Research, 2023, 321 : 693 - 716
  • [26] The liquidity aspects of peer-to-peer lending
    Olvedi, Timea
    STUDIES IN ECONOMICS AND FINANCE, 2022, 39 (01) : 45 - 62
  • [27] Peer-to-Peer Lending: Opportunities and Risks
    Lenz, Rainer
    EUROPEAN JOURNAL OF RISK REGULATION, 2016, 7 (04) : 688 - 700
  • [28] Bankruptcy Exemption and Peer-to-Peer Lending
    Zhang, Luxiu
    Zhao, Ruirui
    Wang, Bo
    Wang, Haizhi
    Zhao, Tianyu
    EMERGING MARKETS FINANCE AND TRADE, 2022, 58 (03) : 863 - 882
  • [29] Is blockchain a cure for peer-to-peer lending?
    Yan, Wangcheng
    Zhou, Wenjun
    ANNALS OF OPERATIONS RESEARCH, 2023, 321 (1-2) : 693 - 716
  • [30] Mass shootings and peer-to-peer lending
    Garcia, Raffi E.
    Li, Sen
    Al Mahmud, Abdullah
    FINANCE RESEARCH LETTERS, 2022, 47