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Enhancing Investment Decisions in P2P Lending An Investor Composition Perspective
Enhancing Investment Decisions in P2P Lending An Investor Composition Perspective
教师介绍
熊辉教授,本科毕业于中国科学技术大学, 博士毕业于美国明尼苏达大学计算机系, 目前为罗格斯-新泽西州立大学管理科学与信息系统系副系主任,副教授,终身教授, 并担任罗格斯-新泽西州立大学信息安全中心主任. 熊辉教授的主要研究领域包括:数据挖掘、大数据应用分析、移动计算、自管理系统和信息安全。熊辉教授在国际学术会议和期刊上发表论文120多篇 (其中有15篇发表在数据挖掘的顶级学术会议 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD)上),并担任国际会议组织委员会委员/主席(比如, KDD-2012 Industry and Government Track PC Chair, IEEE International Conference on Data Mining (ICDM-2013)程序委员会主席, 第29届中国数据库学术会议大会主席)。他目前还担任IEEE Transactions on Knowledge and Data Engineering(TKDE)和Knowledge and Information Systems(KAIS)副编辑,并被评为ACM和IEEE高级会员。另外, 熊辉教授还获得多个美国国家科学基金(National Science Foundation, NSF)、中国国家自然科学基金(NSFC)海外及港澳学者合作研究基金、德国政府、 AwarePoint、IBM、SAP、Citrix Systems Inc.、Panasonic、华为等重要商务智能研究项目。为了表彰熊辉教授卓有成效的工作,在2009年,罗格斯-新泽西州立大学破格提前两年晋升熊辉博士为副教授并终身教授。 主办单位:中国科大-伯明翰大学联合研究实验室

本讲教师:熊辉
所属学科:工科
人  气:2056

课程介绍
Abstract: P2P lending, as a novel economic lending model, has imposed new challenges about how to make effective investment decisions. Indeed, a key challenge along this line is how to align the right information with the right people. For a long time, people have made tremendous efforts in establishing credit records for the borrowers. However, information from investors is still under-explored for improving investment decisions in P2P lending. To that end, we propose a data driven investment decision-making framework, which exploits the investor composition of each investment for enhancing decisions making in P2P lending. Specifically, we first build investor profiles based on quantitative analysis of past performances, risk preferences, and investment experiences of investors. Then, based on investor profiles, we develop an investor composition analysis model, which can be used to select valuable investments and improve the investment decisions. To validate the proposed model, we perform extensive experiments on the real-world data from the world’s largest P2P lending marketplace. Experimental results reveal that investor composition can help us evaluate the profit potential of an investment and the decision model based on investor composition can help investors make better investment decision.
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