利用宏观经济信息投资规模和账面市值比:一些新的交易规则

Michael J. Cooper, Huseyin Gulen, Maria Vassalou
{"title":"利用宏观经济信息投资规模和账面市值比:一些新的交易规则","authors":"Michael J. Cooper, Huseyin Gulen, Maria Vassalou","doi":"10.2139/ssrn.265181","DOIUrl":null,"url":null,"abstract":"We propose new trading strategies that invest in size and book-to-market (B/M) decile portfolios. These trading strategies are based on a forecast model that uses mainly business cycle-related variables as predictors. Extensive out-of-sample experiments show profitable predictability in the returns of the decile portfolios. In particular, the proposed strategies outperform passive investments in the same deciles, as well as SMB- and HML-type of strategies. A key characteristic of the proposed strategies is that the long and short positions can be invested in different decile portfolios across time. This is in contrast to the traditional SMB- and HML-type of strategies that always go long and short on the same portfolios. Active strategies that involve the market portfolio, SMB and HML are also examined. A significant level of predictability is identified for SMB. Our results suggest that time variation in SMB and HML is linked to variations in aggregate, macroeconomic, nodiversifiable risk. Thus, our results most closely support a risk-based explanation for SMB and HML.","PeriodicalId":126917,"journal":{"name":"European Financial Management Association Meetings (EFMA) (Archive)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":"{\"title\":\"Investing in Size and Book-to-Market Portfolios Using Information About the Macroeconomy: Some New Trading Rules\",\"authors\":\"Michael J. Cooper, Huseyin Gulen, Maria Vassalou\",\"doi\":\"10.2139/ssrn.265181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose new trading strategies that invest in size and book-to-market (B/M) decile portfolios. These trading strategies are based on a forecast model that uses mainly business cycle-related variables as predictors. Extensive out-of-sample experiments show profitable predictability in the returns of the decile portfolios. In particular, the proposed strategies outperform passive investments in the same deciles, as well as SMB- and HML-type of strategies. A key characteristic of the proposed strategies is that the long and short positions can be invested in different decile portfolios across time. This is in contrast to the traditional SMB- and HML-type of strategies that always go long and short on the same portfolios. Active strategies that involve the market portfolio, SMB and HML are also examined. A significant level of predictability is identified for SMB. Our results suggest that time variation in SMB and HML is linked to variations in aggregate, macroeconomic, nodiversifiable risk. Thus, our results most closely support a risk-based explanation for SMB and HML.\",\"PeriodicalId\":126917,\"journal\":{\"name\":\"European Financial Management Association Meetings (EFMA) (Archive)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"42\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Financial Management Association Meetings (EFMA) (Archive)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.265181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Financial Management Association Meetings (EFMA) (Archive)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.265181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 42

摘要

我们提出了新的交易策略,投资于规模和账面市值比(B/M)十分位投资组合。这些交易策略基于一个预测模型,该模型主要使用与商业周期相关的变量作为预测因子。大量的样本外实验表明,十分位数投资组合的收益具有可预测性。特别是,所提出的策略在相同的十分位数上优于被动投资,以及SMB和hml类型的策略。所提出的策略的一个关键特征是,多头和空头头寸可以在不同的时间内投资于不同的十分位数组合。这与传统的SMB和html类型的策略形成对比,后者总是在相同的投资组合上做多做空。积极的策略,涉及市场组合,中小企业和HML也进行了审查。为SMB确定了一个重要的可预测性水平。我们的研究结果表明,中小企业和HML的时间变化与总体、宏观经济、不可分散风险的变化有关。因此,我们的结果最密切地支持基于风险的SMB和HML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。
Investing in Size and Book-to-Market Portfolios Using Information About the Macroeconomy: Some New Trading Rules
We propose new trading strategies that invest in size and book-to-market (B/M) decile portfolios. These trading strategies are based on a forecast model that uses mainly business cycle-related variables as predictors. Extensive out-of-sample experiments show profitable predictability in the returns of the decile portfolios. In particular, the proposed strategies outperform passive investments in the same deciles, as well as SMB- and HML-type of strategies. A key characteristic of the proposed strategies is that the long and short positions can be invested in different decile portfolios across time. This is in contrast to the traditional SMB- and HML-type of strategies that always go long and short on the same portfolios. Active strategies that involve the market portfolio, SMB and HML are also examined. A significant level of predictability is identified for SMB. Our results suggest that time variation in SMB and HML is linked to variations in aggregate, macroeconomic, nodiversifiable risk. Thus, our results most closely support a risk-based explanation for SMB and HML.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信