Gaining a Seat at the Table: Enhancing the Attractiveness of Online Lending for Institutional Investors

IF 5 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Information Systems Research Pub Date : 2024-04-05 DOI:10.1287/isre.2022.0638
Ram D. Gopal, Xiao Qiao, Moris S. Strub, Zonghao Yang
{"title":"Gaining a Seat at the Table: Enhancing the Attractiveness of Online Lending for Institutional Investors","authors":"Ram D. Gopal, Xiao Qiao, Moris S. Strub, Zonghao Yang","doi":"10.1287/isre.2022.0638","DOIUrl":null,"url":null,"abstract":"This paper investigates the suitability of online loans as an investment through the lens of a portfolio optimization framework. We propose general characteristics-based portfolio policy (GCPP), a framework which overcomes unique challenges associated with building a portfolio of online loans. GCPP directly models the portfolio weight of a loan as a flexible function of its characteristics and does not require direct estimation of the distributional properties of loans. Using an extensive data set spanning over one million loans from 2013 to 2020 from LendingClub, we show that GCPP portfolios can achieve an average annualized internal rate of return (IRR) of 8.86% to 13.08%, significantly outperforming an equal-weight portfolio of loans. To assess the attractiveness of online loans, we then compare the performance of the GCPP portfolio to traditional investment vehicles including stocks, bonds, and real estate. The results demonstrate that a portfolio of online loans earns competitive or higher rates of return compared to traditional asset classes with limited comovement. These results indicate that online loans are an attractive novel asset class for investors. Together, we demonstrate that GCPP is an approach that can help platforms better serve both borrowers and lenders en route to growing their business.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":"28 1","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1287/isre.2022.0638","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

This paper investigates the suitability of online loans as an investment through the lens of a portfolio optimization framework. We propose general characteristics-based portfolio policy (GCPP), a framework which overcomes unique challenges associated with building a portfolio of online loans. GCPP directly models the portfolio weight of a loan as a flexible function of its characteristics and does not require direct estimation of the distributional properties of loans. Using an extensive data set spanning over one million loans from 2013 to 2020 from LendingClub, we show that GCPP portfolios can achieve an average annualized internal rate of return (IRR) of 8.86% to 13.08%, significantly outperforming an equal-weight portfolio of loans. To assess the attractiveness of online loans, we then compare the performance of the GCPP portfolio to traditional investment vehicles including stocks, bonds, and real estate. The results demonstrate that a portfolio of online loans earns competitive or higher rates of return compared to traditional asset classes with limited comovement. These results indicate that online loans are an attractive novel asset class for investors. Together, we demonstrate that GCPP is an approach that can help platforms better serve both borrowers and lenders en route to growing their business.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
赢得一席之地:增强网络借贷对机构投资者的吸引力
本文通过投资组合优化框架的视角,研究网络贷款作为一种投资的适宜性。我们提出了基于一般特征的投资组合政策(GCPP),这一框架克服了与建立在线贷款投资组合相关的独特挑战。GCPP 直接将贷款的投资组合权重建模为其特征的灵活函数,无需直接估计贷款的分布属性。通过使用 LendingClub 2013 年至 2020 年期间超过 100 万笔贷款的广泛数据集,我们发现 GCPP 投资组合的平均年化内部收益率(IRR)可达到 8.86% 至 13.08%,显著优于等权重贷款组合。为了评估在线贷款的吸引力,我们将 GCPP 投资组合的表现与股票、债券和房地产等传统投资工具进行了比较。结果表明,网络贷款投资组合的收益率与传统资产类别相比具有竞争力或更高,但其相关性有限。这些结果表明,对投资者而言,网络贷款是一种极具吸引力的新型资产类别。总之,我们证明了 GCPP 是一种可以帮助平台在业务增长的过程中更好地服务于借贷双方的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
9.10
自引率
8.20%
发文量
120
期刊介绍: ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences. Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.
期刊最新文献
Win by Hook or Crook? Self-Injecting Favorable Online Reviews to Fight Adjacent Rivals Omnificence or Differentiation? An Empirical Study of Knowledge Structure and Career Development of IT Workers Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience Does David Make A Goliath? Impact of Rival’s Expertise Signals on Online User Engagement How to Make My Bug Bounty Cost-Effective? A Game-Theoretical Model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1