{"title":"公司债券共同基金的规模回报","authors":"Zhen Yan","doi":"10.2139/ssrn.3339511","DOIUrl":null,"url":null,"abstract":"I document a (within-fund) hump-shaped relation between fund size and subsequent fund performance among U.S. corporate bond mutual funds. When funds are small, they exhibit increasing returns to scale but when they become large, they exhibit decreasing returns to scale. This sharply contrasts with the previous finding of decreasing returns to scale among equity mutual funds. Further, I show that the nature of trading cost in the corporate bond market --- in particular, a U-shaped relation between trade size and unit trading cost at the corporate bond level --- is relevant for explaining hump-shaped returns to scale. Interpreting these empirical patterns is not straightforward, though. In a rational expectations framework, we expect a fund's net alpha always to be zero and hence, no time-series relation between fund size and subsequent fund alpha. To help interpret the empirical findings, I propose a dynamic model in which investors learn about a fund's ability to manage its trading cost from its past returns. The evolution of investors' beliefs provides a source of variation in fund size and further, in fund alpha in equilibrium over time.","PeriodicalId":11757,"journal":{"name":"ERN: Other Microeconomics: General Equilibrium & Disequilibrium Models of Financial Markets (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Returns to Scale Among Corporate Bond Mutual Funds\",\"authors\":\"Zhen Yan\",\"doi\":\"10.2139/ssrn.3339511\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"I document a (within-fund) hump-shaped relation between fund size and subsequent fund performance among U.S. corporate bond mutual funds. When funds are small, they exhibit increasing returns to scale but when they become large, they exhibit decreasing returns to scale. This sharply contrasts with the previous finding of decreasing returns to scale among equity mutual funds. Further, I show that the nature of trading cost in the corporate bond market --- in particular, a U-shaped relation between trade size and unit trading cost at the corporate bond level --- is relevant for explaining hump-shaped returns to scale. Interpreting these empirical patterns is not straightforward, though. In a rational expectations framework, we expect a fund's net alpha always to be zero and hence, no time-series relation between fund size and subsequent fund alpha. To help interpret the empirical findings, I propose a dynamic model in which investors learn about a fund's ability to manage its trading cost from its past returns. The evolution of investors' beliefs provides a source of variation in fund size and further, in fund alpha in equilibrium over time.\",\"PeriodicalId\":11757,\"journal\":{\"name\":\"ERN: Other Microeconomics: General Equilibrium & Disequilibrium Models of Financial Markets (Topic)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Other Microeconomics: General Equilibrium & Disequilibrium Models of Financial Markets (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3339511\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Microeconomics: General Equilibrium & Disequilibrium Models of Financial Markets (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3339511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

我在美国公司债券共同基金中记录了基金规模与后续基金业绩之间的(基金内部)驼峰型关系。当基金规模小时,它们的收益按比例递增,但当基金规模大时,它们的收益按比例递减。这与之前股票共同基金的规模收益递减的发现形成鲜明对比。此外,我证明了公司债券市场交易成本的性质——特别是交易规模与公司债券层面的单位交易成本之间的u型关系——与解释驼峰型规模回报相关。然而,解释这些经验模式并不简单。在理性预期框架下,我们预期基金的净alpha值总是为零,因此,基金规模与后续基金alpha值之间没有时间序列关系。为了帮助解释实证研究结果,我提出了一个动态模型,在这个模型中,投资者可以从过去的回报中了解基金管理交易成本的能力。投资者信念的演变为基金规模的变化提供了一个来源,进一步说,随着时间的推移,基金alpha处于均衡状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Returns to Scale Among Corporate Bond Mutual Funds
I document a (within-fund) hump-shaped relation between fund size and subsequent fund performance among U.S. corporate bond mutual funds. When funds are small, they exhibit increasing returns to scale but when they become large, they exhibit decreasing returns to scale. This sharply contrasts with the previous finding of decreasing returns to scale among equity mutual funds. Further, I show that the nature of trading cost in the corporate bond market --- in particular, a U-shaped relation between trade size and unit trading cost at the corporate bond level --- is relevant for explaining hump-shaped returns to scale. Interpreting these empirical patterns is not straightforward, though. In a rational expectations framework, we expect a fund's net alpha always to be zero and hence, no time-series relation between fund size and subsequent fund alpha. To help interpret the empirical findings, I propose a dynamic model in which investors learn about a fund's ability to manage its trading cost from its past returns. The evolution of investors' beliefs provides a source of variation in fund size and further, in fund alpha in equilibrium over time.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Order-flow-based Leading Indicators of Short-term Liquidity Shortfalls An Equilibrium Model of Career Concerns, Investment Horizons, and Mutual Fund Value Added Information, Market Power and Welfare Stock Liquidity and Algorithmic Market Making During the COVID-19 Crisis Financial Information and Diverging Beliefs
×
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