Modernizing Volatility-Managed Strategies

IF 1.1 4区 经济学 Q3 BUSINESS, FINANCE Journal of Portfolio Management Pub Date : 2023-02-03 DOI:10.3905/jpm.2023.1.466
Junseung Bae, Ryan Poirier
{"title":"Modernizing Volatility-Managed Strategies","authors":"Junseung Bae, Ryan Poirier","doi":"10.3905/jpm.2023.1.466","DOIUrl":null,"url":null,"abstract":"There is a positive relationship between the performance of volatility managed strategies and the accuracy of the volatility estimation—more-accurate forecasts result in higher Sharpe ratios. Industry-standard volatility managed strategies allow a full day between volatility estimation and execution. In other words, we estimate volatility after the close of t − 2, execute the trade market-on-close t − 1, and capture net profits on t. This full-day lag naturally degrades the forecast accuracy, potentially resulting in suboptimal Sharpe ratios. The authors propose a robust framework that shortens the lag, effectively achieving a more accurate forecast by incorporating more-current information in the prediction model. The result is higher Sharpe ratios, higher utility, and lower volatility of volatility.","PeriodicalId":53670,"journal":{"name":"Journal of Portfolio Management","volume":"49 1","pages":"148 - 166"},"PeriodicalIF":1.1000,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Portfolio Management","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.3905/jpm.2023.1.466","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1

Abstract

There is a positive relationship between the performance of volatility managed strategies and the accuracy of the volatility estimation—more-accurate forecasts result in higher Sharpe ratios. Industry-standard volatility managed strategies allow a full day between volatility estimation and execution. In other words, we estimate volatility after the close of t − 2, execute the trade market-on-close t − 1, and capture net profits on t. This full-day lag naturally degrades the forecast accuracy, potentially resulting in suboptimal Sharpe ratios. The authors propose a robust framework that shortens the lag, effectively achieving a more accurate forecast by incorporating more-current information in the prediction model. The result is higher Sharpe ratios, higher utility, and lower volatility of volatility.
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
波动性管理策略的现代化
波动率管理策略的表现与波动率估计的准确性之间存在正相关关系-更准确的预测导致更高的夏普比率。行业标准的波动率管理策略允许波动率估计和执行之间有一整天的时间。换句话说,我们在t- 2收盘后估计波动性,在t- 1收盘时执行市场交易,并在t捕获净利润。这种全天滞后自然会降低预测准确性,可能导致次优夏普比率。作者提出了一个强大的框架来缩短滞后,通过在预测模型中加入更多的最新信息,有效地实现更准确的预测。其结果是更高的夏普比率、更高的效用和更低的波动性。
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
Journal of Portfolio Management
Journal of Portfolio Management Economics, Econometrics and Finance-Finance
CiteScore
2.20
自引率
28.60%
发文量
113
期刊介绍: Founded by Peter Bernstein in 1974, The Journal of Portfolio Management (JPM) is the definitive source of thought-provoking analysis and practical techniques in institutional investing. It offers cutting-edge research on asset allocation, performance measurement, market trends, risk management, portfolio optimization, and more. Each quarterly issue of JPM features articles by the most renowned researchers and practitioners—including Nobel laureates—whose works define modern portfolio theory.
期刊最新文献
Fixed Income Factors: Theory and Practice Peer Group Identification in Factor Portfolios: A Data-Driven Approach Factor Investing for Taxable Investors Return–Risk Analysis of Real Estate Tokens: An Asset Class of Its Own Sustainability Disclosure and Financial Performance: The Case of Private and Public Real Estate
×
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