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Can Readability of Loan Description Affect Loan Success Rate and Loan Cost?: A Textual Analysis of P2P Loan Description

机译:贷款描述可以易读,影响贷款成功率和贷款成本吗?:P2P贷款描述的文本分析

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摘要

Text is an important form of information transfer. In a P2P (Peer-to-Peer) loan market with severe information asymmetry, loan descriptive information voluntarily written by a borrower may generate significant influence on investors' decision-making. As an important language feature, readability determines whether the audience can accurately identify textual contents. To discuss the influence of readability of loan description on borrowing behaviors, the data of a Chinese P2P lending platform Renrendai during 2013-2017 were used in this study. Readability index of loan description was constructed through the textual analysis method, followed by an empirical verification of the influences of readability of loan description on loan success rate and loan cost. Results indicate that the readability of loan description in China's P2P loan market can generate incremental information, and the readability of loan description has evident nonlinear relations with loan success rate and loan interest rate. Moreover, the readability of loan description presents a "reverse U-shaped" relation with loan success rate and a "U-shaped" relation with loan interest rate. Demographic information (gender and educational background) of borrowers will not influence investors' feedback behaviors toward the readability of loan description. Conclusions provide empirical evidence for standardizing loan descriptive information on P2P lending platforms.
机译:文本是信息转移的重要形式。在具有严重信息不对称的P2P(对等)贷款市场中,借款人自愿写入的贷款描述性信息可能会对投资者的决策产生重大影响。作为一个重要的语言功能,可读性确定受众是否可以准确识别文本内容。为了讨论贷款描述可读性对借贷行为的影响,本研究中使用了2013 - 2017年中国P2P贷款平台的数据。通过文本分析方法构建了贷款描述的可读性指标,其次是对贷款商品可读性的影响,对贷款成功率和贷款成本的影响的实证验证。结果表明,中国P2P贷款市场的贷款描述可读性可以产生增量信息,贷款描述的可读性与贷款成功率和贷款利率有明显的非线性关系。此外,贷款描述的可读性提出了与贷款成功率和“U形”关系的“逆向U形”关系,与贷款利率有关。借款人的人口统计信息(性别和教育背景)不会影响投资者对贷款描述可读性的反馈行为。结论为P2P贷款平台提供了标准化贷款描述信息的经验证据。

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