{"title":"Analysis of Size and Momentum Anomalies in CAPM","authors":"Ziqi Wan","doi":"10.2991/assehr.k.211209.108","DOIUrl":null,"url":null,"abstract":"By assuming a linear relationship between expected returns and Beta (Beta is always positive), CAPM provides a powerful and direct prediction on how to measure the relationship between expected returns and risk [1]. However, CAPM still has drawbacks. On average, smaller companies have higher risk-adjusted returns than larger companies [2], which proves that CAPM is wrong. De Bondt and Thaler also find that CAPM cannot explain the abnormal returns between \"winner\" and \"loser\" stocks [3]. Based on the above information, this study aims to analyze size and momentum anomalies, and evaluate the performance of CAPM based on different sizes and momentum stocks.","PeriodicalId":322864,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/assehr.k.211209.108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

By assuming a linear relationship between expected returns and Beta (Beta is always positive), CAPM provides a powerful and direct prediction on how to measure the relationship between expected returns and risk [1]. However, CAPM still has drawbacks. On average, smaller companies have higher risk-adjusted returns than larger companies [2], which proves that CAPM is wrong. De Bondt and Thaler also find that CAPM cannot explain the abnormal returns between "winner" and "loser" stocks [3]. Based on the above information, this study aims to analyze size and momentum anomalies, and evaluate the performance of CAPM based on different sizes and momentum stocks.
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CAPM中尺寸和动量异常分析
通过假设预期收益与Beta之间的线性关系(Beta总是正的),CAPM为如何衡量预期收益与风险[1]之间的关系提供了一个强大而直接的预测。然而,CAPM仍然有缺点。平均而言,小公司的风险调整收益高于大公司100亿美元,这证明CAPM是错误的。De Bondt和Thaler也发现CAPM不能解释“赢家”和“输家”股票之间的异常收益b[3]。基于以上信息,本研究旨在分析规模和动量异常,并评估基于不同规模和动量股的CAPM绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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