Do platform recommendations in the fund market work? Evidence from a quasi-experimental study

被引:0
|
作者
Hao, Shuaikang [1 ]
Peng, Lifang [2 ]
Tang, Xinyin [2 ]
Huang, Ling [3 ]
机构
[1] Southwest Forestry Univ, Kunming, Peoples R China
[2] Xiamen Univ, Xiamen, Peoples R China
[3] Zhangzhou Inst Technol, Zhangzhou, Peoples R China
关键词
Mutual funds; Platform recommendations; Fund flows; Fund performance; Signaling theory; MORNINGSTAR RATINGS; PERFORMANCE; ONLINE; FLOWS; SIZE;
D O I
10.1108/IMDS-09-2023-0615
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
PurposeThis study introduces a new type of platform recommendation about mutual funds and draws on the signaling theory to conduct a quasi-experimental design to investigate how the platform recommendation influences investors' investment decisions. Moreover, the authors examine the combined effect of star ratings and the platform recommendation on fund flow and test the investment value of recommended funds.Design/methodology/approachThis study implements a quasi-experimental design based on 1,295 mutual funds traded on Alipay's online platform to test the hypotheses.FindingsThe empirical results show that the recommended funds received higher fund flows from investors when the platform recommendation was established. Moreover, a substitution effect between tag recommendation and star ratings on fund flow was identified. We also uncovered that investing in platform-recommended funds can yield significant and higher fund returns for investors than those without platform recommendations.Originality/valueOur findings shed new insights into the role of platform recommendations in helping fund investors make investment decisions and contribute to the business of online mutual fund transactions by investigating the effect of platform recommendations on fund flow and performance.
引用
收藏
页码:3274 / 3297
页数:24
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