Market efficiency of energy ETFs: Evidence from USO and UGA

IF 0.6 Q4 BUSINESS, FINANCE International Journal of Financial Engineering Pub Date : 2023-02-23 DOI:10.1142/s2424786322500359
Massoud Metghalchi, Peggy A. Cloninger, F. Niroomand
{"title":"Market efficiency of energy ETFs: Evidence from USO and UGA","authors":"Massoud Metghalchi, Peggy A. Cloninger, F. Niroomand","doi":"10.1142/s2424786322500359","DOIUrl":null,"url":null,"abstract":"In this paper, we apply an updated Coppock trading rule and four trading strategies to two energy ETFs, United States Oil (USO) and United States Gasoline Fund (UGA), using weekly data from 2006 to 2022. Our four trading strategies are designed for different levels of risk tolerance. Strategy 1 is for low risk tolerance investors, strategy 2 for medium risk tolerance investors, and strategies 3 and 4 are for high-risk tolerance investors. For each ETF, we compare the performance of buying and holding this ETF (B&H strategy) to the performance of our trading rule for that ETF. We find our trading rules significantly outperforms the B&H strategy. Traders with low, medium, and high-risk tolerance can use our trading rule with combination of four recommended strategies and obtain an improved risk-return tradeoff than the B&H strategy. Further, our results are robust when we apply our trading system to two equal sub-periods for each ETF.","PeriodicalId":54088,"journal":{"name":"International Journal of Financial Engineering","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Financial Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s2424786322500359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we apply an updated Coppock trading rule and four trading strategies to two energy ETFs, United States Oil (USO) and United States Gasoline Fund (UGA), using weekly data from 2006 to 2022. Our four trading strategies are designed for different levels of risk tolerance. Strategy 1 is for low risk tolerance investors, strategy 2 for medium risk tolerance investors, and strategies 3 and 4 are for high-risk tolerance investors. For each ETF, we compare the performance of buying and holding this ETF (B&H strategy) to the performance of our trading rule for that ETF. We find our trading rules significantly outperforms the B&H strategy. Traders with low, medium, and high-risk tolerance can use our trading rule with combination of four recommended strategies and obtain an improved risk-return tradeoff than the B&H strategy. Further, our results are robust when we apply our trading system to two equal sub-periods for each ETF.
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
能源ETF的市场效率:来自USO和UGA的证据
本文采用2006年至2022年的周数据,对美国石油(USO)和美国汽油基金(UGA)两种能源etf应用更新的Coppock交易规则和四种交易策略。我们的四种交易策略是针对不同水平的风险承受能力而设计的。策略1适用于低风险承受能力的投资者,策略2适用于中等风险承受能力的投资者,策略3和策略4适用于高风险承受能力的投资者。对于每个ETF,我们将购买和持有该ETF (B&H策略)的表现与该ETF的交易规则的表现进行比较。我们发现我们的交易规则明显优于B&H策略。具有低、中、高风险容忍度的交易者可以将我们的交易规则与四种推荐策略结合使用,获得比B&H策略更好的风险回报权衡。此外,当我们将我们的交易系统应用于每个ETF的两个相等的子周期时,我们的结果是稳健的。
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
31
期刊最新文献
Optimal investment–consumption–insurance strategy with inflation risk and stochastic income in an Itô–Lévy setting Asymmetric link between energy market and crypto market The binomial option pricing model: The trouble with dividends Stochastic method of dynamic hedging applied to the high liquid asset markets Consumer preferences on quality of supermarket services in organized retailing: Structural equation modeling approach
×
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