Risk-managed time-series momentum: an emerging economy experience

Simarjeet Singh, Nidhi Walia, S. Bekiros, Arushi Gupta, Jigyasu Kumar, A. Mishra
{"title":"Risk-managed time-series momentum: an emerging economy experience","authors":"Simarjeet Singh, Nidhi Walia, S. Bekiros, Arushi Gupta, Jigyasu Kumar, A. Mishra","doi":"10.1108/jefas-08-2021-0159","DOIUrl":null,"url":null,"abstract":"PurposeThis research study aims to design a novel risk-managed time-series momentum approach. The present study also examines the time-series momentum effect in the Indian equity market. Apart from this, the study also proposes a novel risk-managed time-series momentum approach.Design/methodology/approachThe study considers the adjusted monthly closing prices of the stocks listed on the Bombay Stock Exchange from January 1996 to December 2020 to formulate long-short portfolios. Newey–West t statistics were used to test the significance of momentum returns. The present research has considered standard risk factors, i.e. market, size and value, to evaluate the risk-adjusted performance of time-series momentum portfolios.FindingsThe present research reports a substantial absolute momentum effect in the Indian equity market. However, absolute momentum strategies are exposed to occasional severe losses. The proposed time-series momentum approach not only yields 2.5 times higher return than the standard time-series momentum approach but also causes substantial enhancement in downside risks and higher-order moments.Practical implicationsThe study's outcomes offer valuable insights for professional investors, capital market regulators and asset management companies.Originality/valueThis study is one of the pioneers attempting to test the time-series momentum effect in emerging economies. Besides, current research contributes to the escalating literature on risk-managed momentum by suggesting a novel revised time-series momentum approach.","PeriodicalId":53491,"journal":{"name":"Journal of Economics, Finance and Administrative Science","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economics, Finance and Administrative Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jefas-08-2021-0159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1

Abstract

PurposeThis research study aims to design a novel risk-managed time-series momentum approach. The present study also examines the time-series momentum effect in the Indian equity market. Apart from this, the study also proposes a novel risk-managed time-series momentum approach.Design/methodology/approachThe study considers the adjusted monthly closing prices of the stocks listed on the Bombay Stock Exchange from January 1996 to December 2020 to formulate long-short portfolios. Newey–West t statistics were used to test the significance of momentum returns. The present research has considered standard risk factors, i.e. market, size and value, to evaluate the risk-adjusted performance of time-series momentum portfolios.FindingsThe present research reports a substantial absolute momentum effect in the Indian equity market. However, absolute momentum strategies are exposed to occasional severe losses. The proposed time-series momentum approach not only yields 2.5 times higher return than the standard time-series momentum approach but also causes substantial enhancement in downside risks and higher-order moments.Practical implicationsThe study's outcomes offer valuable insights for professional investors, capital market regulators and asset management companies.Originality/valueThis study is one of the pioneers attempting to test the time-series momentum effect in emerging economies. Besides, current research contributes to the escalating literature on risk-managed momentum by suggesting a novel revised time-series momentum approach.
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
风险管理的时序动力:新兴经济体的经验
目的本研究旨在设计一种新的风险管理时间序列动量方法。本研究还考察了印度股票市场的时间序列动量效应。除此之外,该研究还提出了一种新的风险管理时间序列动量方法。设计/方法/方法本研究考虑1996年1月至2020年12月在孟买证券交易所上市的股票的调整后月度收盘价,以制定多空投资组合。采用新西统计来检验动量收益的显著性。本研究考虑了标准风险因素,即市场、规模和价值,来评估时间序列动量投资组合的风险调整绩效。本研究报告了印度股票市场的绝对动量效应。然而,绝对动量策略偶尔会遭受严重损失。本文提出的时间序列动量方法不仅收益率是标准时间序列动量方法的2.5倍,而且下行风险和高阶矩显著增强。研究结果为专业投资者、资本市场监管机构和资产管理公司提供了有价值的见解。原创性/价值本研究是尝试检验新兴经济体时间序列动量效应的先驱之一。此外,目前的研究通过提出一种新的修正时间序列动量方法,为风险管理动量的文献升级做出了贡献。
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 Economics, Finance and Administrative Science
Journal of Economics, Finance and Administrative Science Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
5.10
自引率
20.80%
发文量
23
审稿时长
12 weeks
期刊介绍: The Universidad ESAN, with more than 50 years of experience in the higher education field and post graduate studies, desires to contribute to the academic community with the most outstanding pieces of research. We gratefully welcome suggestions and contributions from business areas such as operations, supply chain, economics, finance and administration. We publish twice a year, six articles for each issue.
期刊最新文献
Utility under the Dark Tetrad ESG and financial performance via uncertain mining technology: do Multilatinas contribute to the sustainability of the region? A comparative analysis of consumer credit risk models in Peer-to-Peer Lending Short-term effects of productive credit, savings and money demand on Ecuador’s economic growth, 2006–2020 Islamic banks' contribution to Indonesia districts' economic growth and poverty alleviation
×
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