Obermatt Top 10 Stocks Back Testing

Hermann J. Stern
{"title":"Obermatt Top 10 Stocks Back Testing","authors":"Hermann J. Stern","doi":"10.2139/ssrn.2438628","DOIUrl":null,"url":null,"abstract":"In weekly intervals, the Swiss stock research firm Obermatt publishes the top 10 stocks in a stock index based on four different investment strategies. This report describes the results of a back testing of this method. It uses prior year year-end financials to identify top 10 stock tips for a stock index at the beginning of the years 2011, 2012 and 2013. It then compares the returns of these 10 stock tips with the returns of the index that they come from. This report tests 600 investment cases (50 stock indices times 3 years times 4 investment strategies). From the beginning of 2011 to the end of 2013, Obermatt Top 10 Stock Tips generated an average outperformance over the corresponding 52 stock indices of 8.0%. In other words, Obermatt Top 10 Stock Tips generated 8% more returns than the index where they come from. Obermatt stock tips have been better than their index in 454 of the tested 600 cases (76%). The value strategy was right in eight out of ten performance comparisons (81%). The underlying data is available free of charge at Obermatt for further research and publications.","PeriodicalId":332226,"journal":{"name":"USC Marshall School of Business Research Paper Series","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"USC Marshall School of Business Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2438628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In weekly intervals, the Swiss stock research firm Obermatt publishes the top 10 stocks in a stock index based on four different investment strategies. This report describes the results of a back testing of this method. It uses prior year year-end financials to identify top 10 stock tips for a stock index at the beginning of the years 2011, 2012 and 2013. It then compares the returns of these 10 stock tips with the returns of the index that they come from. This report tests 600 investment cases (50 stock indices times 3 years times 4 investment strategies). From the beginning of 2011 to the end of 2013, Obermatt Top 10 Stock Tips generated an average outperformance over the corresponding 52 stock indices of 8.0%. In other words, Obermatt Top 10 Stock Tips generated 8% more returns than the index where they come from. Obermatt stock tips have been better than their index in 454 of the tested 600 cases (76%). The value strategy was right in eight out of ten performance comparisons (81%). The underlying data is available free of charge at Obermatt for further research and publications.
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
Obermatt十大股票回归测试
瑞士股票研究公司Obermatt每隔一周就会根据四种不同的投资策略公布一个股指中排名前十的股票。本报告描述了该方法的回测结果。该公司利用前一年的年终财务报告,在2011年、2012年和2013年年初确定某一股指的十大个股建议。然后,它将这10个股票提示的回报与它们所来自的指数的回报进行比较。本报告测试了600个投资案例(50个股票指数乘以3年乘以4个投资策略)。从2011年初到2013年底,Obermatt Top 10股票提示的平均表现超过了相应的52个股票指数8.0%。换句话说,Obermatt十大股票提示产生的回报比其来源的指数高出8%。在接受测试的600个案例中,有454个(76%)股票提示的表现好于他们的指数。价值策略在8 / 10的业绩比较中是正确的(81%)。基础数据可以在Obermatt免费获得,用于进一步的研究和出版。
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
自引率
0.00%
发文量
0
期刊最新文献
Real Cash Flow Expectations and Asset Prices Cleaning House Before Hosting New Guests: A Political Path Dependence Model of Political Connection Adaptation in the Aftermath of Anticorruption Shocks Explaining the Profitability Anomaly The Co-Production of Service: Modeling Service Times in Contact Centers Using Hawkes Processes Does Profitability Really Matter? Marginality, Volatility & $ Trillion Question
×
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