P2P借款人是否提高了信息披露的质量?基于文本挖掘的贷款描述分析

IF 0.5 4区 经济学 Q4 ECONOMICS
Yuan Chen, Ji Feng, Xun Li, Shijie Yu
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引用次数: 0

摘要

大多数点对点(P2P)在线借款人都是小企业经理。P2P市场中借款人的学习行为研究很少。本文的目的是利用中国最大的P2P借贷平台之一人人贷的大样本来确定P2P市场中借款人学习行为的存在。借款人撰写的贷款说明是披露借款人信息的重要途径。我们使用文本挖掘技术分析了多次借款中贷款描述的变化,并调查借款人在撰写贷款描述时是否具有学习行为。实证结果表明,在积累了足够的经验后,借款人可以优化贷款描述,使其更容易以较低的利率获得贷款。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Do P2P borrowers improve the quality of information disclosure? An analysis with text mining on loan descriptions

Do P2P borrowers improve the quality of information disclosure? An analysis with text mining on loan descriptions

Most of peer-to-peer (P2P) online borrowers are small business managers. The learning behavior of borrowers in the P2P market is rarely studied. The aim of this paper is to identify the existence of borrowers' learning behavior in the P2P market using a large sample from renrendai.com, which is one of the largest P2P lending platforms in China. The loan description written by the borrower is an important way to disclose the borrower's information. We analyze changes in loan descriptions in multiple borrowings with text mining techniques and investigate whether a borrower has a learning behavior in writing loan descriptions. Empirical results show that after accumulating enough experience, borrowers can optimize the loan description to make it easier to obtain loans at lower interest rates.

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