Are Monthly Market Returns Predictable?

IF 2.2 Q2 BUSINESS, FINANCE Review of Asset Pricing Studies Pub Date : 2021-04-10 eCollection Date: 2021-12-01 DOI:10.1093/rapstu/raab010
Jussi Keppo, Tyler Shumway, Daniel Weagley
{"title":"Are Monthly Market Returns Predictable?","authors":"Jussi Keppo,&nbsp;Tyler Shumway,&nbsp;Daniel Weagley","doi":"10.1093/rapstu/raab010","DOIUrl":null,"url":null,"abstract":"<p><p>We document significant persistence in the market timing performance of active individual investors, suggesting that some investors are skilled at timing. Using data on all trades by active Finnish individual investors over almost 15 years, we also show that the net purchases of skilled versus unskilled investors predict monthly market returns. Our results lend credibility to the view that market returns are predictable, without having to specify which variables active investors use to successfully time the market. (<i>JEL</i> G10, G11, G12, G14, G15).</p>","PeriodicalId":21144,"journal":{"name":"Review of Asset Pricing Studies","volume":"11 4","pages":"806-836"},"PeriodicalIF":2.2000,"publicationDate":"2021-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/rapstu/raab010","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Asset Pricing Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/rapstu/raab010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/12/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

We document significant persistence in the market timing performance of active individual investors, suggesting that some investors are skilled at timing. Using data on all trades by active Finnish individual investors over almost 15 years, we also show that the net purchases of skilled versus unskilled investors predict monthly market returns. Our results lend credibility to the view that market returns are predictable, without having to specify which variables active investors use to successfully time the market. (JEL G10, G11, G12, G14, G15).

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
月度市场回报可预测吗?
我们记录了活跃的个人投资者在市场择时表现上的显著持久性,这表明一些投资者在择时方面很熟练。使用近15年来活跃的芬兰个人投资者的所有交易数据,我们还表明,熟练投资者与非熟练投资者的净购买量预测了每月的市场回报。我们的研究结果为市场回报是可预测的观点提供了可信度,而不必指定积极投资者使用哪些变量来成功地确定市场时间。(凝胶g10, g11, g12, g14, g15)。
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
Review of Asset Pricing Studies
Review of Asset Pricing Studies BUSINESS, FINANCE-
CiteScore
19.80
自引率
0.80%
发文量
17
期刊介绍: The Review of Asset Pricing Studies (RAPS) is a journal that aims to publish high-quality research in asset pricing. It evaluates papers based on their original contribution to the understanding of asset pricing. The topics covered in RAPS include theoretical and empirical models of asset prices and returns, empirical methodology, macro-finance, financial institutions and asset prices, information and liquidity in asset markets, behavioral investment studies, asset market structure and microstructure, risk analysis, hedge funds, mutual funds, alternative investments, and other related topics. Manuscripts submitted to RAPS must be exclusive to the journal and should not have been previously published. Starting in 2020, RAPS will publish three issues per year, owing to an increasing number of high-quality submissions. The journal is indexed in EconLit, Emerging Sources Citation IndexTM, RePEc (Research Papers in Economics), and Scopus.
期刊最新文献
Shorting the Dollar When Global Stock Markets Roar: The Equity Hedging Channel of Exchange Rate Determination A Survey of Short-Selling Regulations Systematic Skewness and Stock Returns Estimating Probability Weighting Functions through Option Pricing Bounds Predicting the Equity Premium with Combination Forecasts: A Reappraisal
×
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