赢得一席之地:增强网络借贷对机构投资者的吸引力

IF 5 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Ram D. Gopal, Xiao Qiao, Moris S. Strub, Zonghao Yang
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引用次数: 0

摘要

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