摘要:互联网金融取得的飞速发展,使得互联网借贷作为一种独特的投资渠道,吸引了许多投资人。而对于投资人来说,在通过互联网借贷取得收益的同时,借款人的信用风险成为了最担心的问题。本文为了探究利率对互联网借贷平台信用风险的影响,将借款利率作为解释变量,引入借款金额、还款期限、借款人年龄、借款人文化水平、借款人房产信息以及借款人工作时间作为控制变量,通过Logit模型定量分析,发现借款利率对借款人信用风险具有正的显著影响。基于此,我们认为在投资者提高自身风险识别能力的基础上,平台内部以及行业内部也应提高自身防范风险的能力,与此同时,相关机构也应加强对互联网借贷平台利率的调控,共同推动互联网借贷行业的健康发展。28377 毕业论文关键词:利率;互联网借贷;信用风险
Study on the Impact of Interest Rate on Credit Risks of Internet Lending Platform
Abstract: The rapid development of Internet finance, making Internet lending as a new way of investment to get more and more attention. For investors, the borrower's credit risk is the most worrying issue while earning money through Internet lending. The interest rate is used as the explanatory variable, the loan amount, the repayment period, the borrower's age, the borrower's educational level, the borrower's property information and the borrower’s working time as control variables, using Logit model to do quantitative analysis. And the analysis found that interest rate has a significant impact on the borrower’s credit risk. Based on the conclusion of the study, we think that investors should improve their own risk identification capabilities, the platform and the industry should also improve their ability to prevent risks. At the same time, the state agencies should also strengthen the control of Internet lending platform interest rate. Only in these way can we promote the healthy development of Internet lending platform.
Key words: Interest rate; Internet lending; Credit risk
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