Intermediaries’ Incentives across Share Classes in the Same Fund

IF 3.4 3区 经济学 Q1 BUSINESS, FINANCE Financial Analysts Journal Pub Date : 2023-09-05 DOI:10.1080/0015198X.2023.2243205
Ivalina Kalcheva, Ping McLemore
{"title":"Intermediaries’ Incentives across Share Classes in the Same Fund","authors":"Ivalina Kalcheva, Ping McLemore","doi":"10.1080/0015198X.2023.2243205","DOIUrl":null,"url":null,"abstract":"We provide supporting evidence that intermediaries’ incentives vary across retail share classes in the same fund. We find that when a fund has multiple share classes with different distribution fees, flow is less sensitive to poor performance for share classes with higher distribution fees. These results are more pronounced for funds when intermediaries are more inclined to favor one share class over another—specifically, for funds serving only retail investors, having a large dispersion in distribution fees across share classes, or having a share class that charges the maximum allowed distribution fee. Our results hold for funds with small spread in investors’ performance sensitivities and disappear in a placebo test. These findings cannot be explained by differences in share-class load fees or investor clientele.","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"79 1","pages":"41 - 63"},"PeriodicalIF":3.4000,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Analysts Journal","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/0015198X.2023.2243205","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

We provide supporting evidence that intermediaries’ incentives vary across retail share classes in the same fund. We find that when a fund has multiple share classes with different distribution fees, flow is less sensitive to poor performance for share classes with higher distribution fees. These results are more pronounced for funds when intermediaries are more inclined to favor one share class over another—specifically, for funds serving only retail investors, having a large dispersion in distribution fees across share classes, or having a share class that charges the maximum allowed distribution fee. Our results hold for funds with small spread in investors’ performance sensitivities and disappear in a placebo test. These findings cannot be explained by differences in share-class load fees or investor clientele.
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
中介机构在同一基金中不同股票类别的激励措施
我们提供了支持性证据,证明中介机构在同一基金的零售股票类别中的激励措施各不相同。我们发现,当一只基金有多个不同分销费用的股票类别时,对于分销费用较高的股票类别,流量对较差的业绩不太敏感。当中介机构更倾向于青睐一种股票类别而非另一种股票类型时,这些结果对基金来说更为明显——特别是对只为散户投资者服务的基金,对不同股票类别的分销费用有很大差异的基金,或者对收取最高允许分销费用的股票类别的基金。我们的结果适用于投资者业绩敏感性差异较小的基金,并在安慰剂测试中消失。这些发现不能用股票类别负载费用或投资者客户的差异来解释。
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
Financial Analysts Journal
Financial Analysts Journal BUSINESS, FINANCE-
CiteScore
5.40
自引率
7.10%
发文量
31
期刊介绍: The Financial Analysts Journal aims to be the leading practitioner journal in the investment management community by advancing the knowledge and understanding of the practice of investment management through the publication of rigorous, peer-reviewed, practitioner-relevant research from leading academics and practitioners.
期刊最新文献
Choices Matter When Training Machine Learning Models for Return Prediction The Importance of Joining Lifecycle Models with Mean-Variance Optimization Transaction Costs and Capacity of Systematic Corporate Bond Strategies Predicting Corporate Bond Illiquidity via Machine Learning Nonlinear Factor Returns in the US Equity Market
×
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