互联网金融大数据信息价值分析

Yonggui Fu, Jianming Zhu, Ning Zhang
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引用次数: 3

摘要

互联网金融是传统金融业与互联网精神相结合的新兴领域。本文分析了大数据在互联网金融业务活动中的正面信息价值,如长尾用户管理、风险监管、第三方支付、小额信贷、众筹、网上理财、业务推荐、交易主体认证等,以及大数据给互联网金融带来的负面信息价值。在实证分析部分,我们以小额信贷业务的贷款人和借款人为例,构建不完全信息静态博弈模型,以证明大数据在互联网金融业务活动中具有信息价值,并通过实例数据来说明大数据的信息价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis on information value of big data in Internet finance
Internet finance is an emerging area which combines traditional finance industry and Internet spirit. In this paper we have analyzed the positive information value of big data in Internet finance business activities, such as the long tail user management, risk supervision, the third party payment, micro credit, crowd funding, online manage money matters, business recommendation, the transaction subject authentication etc, and the negative information value that big data can bring to Internet finance. In the part of empirical analysis, we make the lenders and the borrowers of micro credit business as an example, to construct the incomplete information static game model, for proving big data have the information value in Internet finance business activities, and illustrate the information value of big data by instance data.
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