P2P网贷,贷款利率,信用等级,影响因素
," /> P2P网贷,贷款利率,信用等级,影响因素
,"/> P2P online loan,loan interest rate,credit rating,influencing factors
,"/> <span class="fontstyle0">基于</span><span class="fontstyle2">Lending Club</span><span class="fontstyle0">平台对</span><span class="fontstyle2">P2P</span><span class="fontstyle0">网贷平台利率的影响因素研究</span>

巢湖学院学报 ›› 2019, Vol. 21 ›› Issue (5): 54-60.doi: 10.12152/j.issn.1672-2868.2019.05.008

• 经济与管理 • 上一篇    下一篇

基于Lending Club平台对P2P网贷平台利率的影响因素研究

目前P2P已然成为中小企业融资及个人信贷的主要方式之一作为一种新兴的金融业态2018 以来P2P平台爆雷事件不断平台整顿蓄势待发文章使用Lending Club平台数据研究借款人信用等级贷款期限贷款与收入比以及借款意图对P2P网贷利率的影响结果表明借款人的信用等级直接影响网贷利率且与其呈负相关在贷款等级优良的条件下贷款期限与贷款利率正相关贷款与收入比与贷款利率正相关借款用于贷款整合贷款利率越高在贷款等级较差的情况下贷款利率与贷款与收入比正相关与贷款意图和贷款期限无关文章拓展了新视角并研究其对贷款利率的影响基于研究结论对投资者以及被投资者提出合理建议以提高公众的警惕性以及平台的稳定性 。
  

  1. 安徽大学 商学院安徽 合肥 230039
  • 出版日期:2019-09-25 发布日期:2019-11-29
  • 作者简介:黄平(1959-),女,安徽合肥人,安徽大学商学院副教授,硕士研究生导师,主要从事财务管理理论与实务研究。
  • 基金资助:
    安徽省哲学社会科学基金青年项目项目编号:AHSKQ2015D52)

Research on the Factors Affecting the Interest Rate of P2P Online Loan Platform Based on Lending Club Platform

At present, P2P has become one of the main ways of financing and personal credit for SMEs. As an emerging financial industry, the P2P platform has been continually exploding since 2018, and the platform is ready for reorganization. The article uses the Lending Club platform data to study the borrower's credit rating, loan term, loan-to-income ratio, and the impact of borrowing intentions on P2P online lending rates. The results show that the credit rating of the borrower directly affects the online loan interest rate and is negatively correlated with it. Secondly, under the condition of excellent loan level, the loan term is positively related to the loan interest rate; the loan -to -income ratio is positively related to the loan interest rate; if the loan is used for loan integration, the interest rate is higher. In the case of a poor loan level, the loan interest rate is positively correlated with the loanto-income ratio; it is not influenced by the loan intention and the loan term. The article expands a new perspective and studies its impact on loan interest rates. Based on the research results, reasonable suggestions are put forward to investors and investees to improve public vigilance and platform stability.    

  1. School of Business, Anhui University, Hefei Anhui 230039
  • Online:2019-09-25 Published:2019-11-29

摘要: 目前P2P已然成为中小企业融资及个人信贷的主要方式之一作为一种新兴的金融业态2018 以来P2P平台爆雷事件不断平台整顿蓄势待发文章使用Lending Club平台数据研究借款人信用等级贷款期限贷款与收入比以及借款意图对P2P网贷利率的影响结果表明借款人的信用等级直接影响网贷利率且与其呈负相关在贷款等级优良的条件下贷款期限与贷款利率正相关贷款与收入比与贷款利率正相关借款用于贷款整合贷款利率越高在贷款等级较差的情况下贷款利率与贷款与收入比正相关与贷款意图和贷款期限无关文章拓展了新视角并研究其对贷款利率的影响基于研究结论对投资者以及被投资者提出合理建议以提高公众的警惕性以及平台的稳定性 。

关键词: P2P网贷')">P2P网贷, 贷款利率')">贷款利率, 信用等级')">信用等级, 影响因素
')">影响因素

Abstract: At present, P2P has become one of the main ways of financing and personal credit for SMEs. As an emerging financial industry, the P2P platform has been continually exploding since 2018, and the platform is ready for reorganization. The article uses the Lending Club platform data to study the borrower's credit rating, loan term, loan-to-income ratio, and the impact of borrowing intentions on P2P online lending rates. The results show that the credit rating of the borrower directly affects the online loan interest rate and is negatively correlated with it. Secondly, under the condition of excellent loan level, the loan term is positively related to the loan interest rate; the loan -to -income ratio is positively related to the loan interest rate; if the loan is used for loan integration, the interest rate is higher. In the case of a poor loan level, the loan interest rate is positively correlated with the loanto-income ratio; it is not influenced by the loan intention and the loan term. The article expands a new perspective and studies its impact on loan interest rates. Based on the research results, reasonable suggestions are put forward to investors and investees to improve public vigilance and platform stability. 

Key words: P2P online loan')">P2P online loan, loan interest rate, credit rating, influencing factors

中图分类号: 

  • F832.4