Dynamic hedging strategies across assets and commodities – a wavelet analysis

IF 5.7 Q1 BUSINESS, FINANCE
Aqila Rafiuddin, Jesus Cuauhtemoc Tellez Gaytan, Rajesh Mohnot, A. Banerjee
{"title":"Dynamic hedging strategies across assets and commodities – a wavelet analysis","authors":"Aqila Rafiuddin, Jesus Cuauhtemoc Tellez Gaytan, Rajesh Mohnot, A. Banerjee","doi":"10.1108/jrf-03-2023-0056","DOIUrl":null,"url":null,"abstract":"PurposeThe aim of this research is to explore multiscale hedging strategies among cryptocurrencies, commodities, and GCC stocks. Particularly, this is done by evaluating the connectedness among these asset classes covering a period with COVID-19 implications. Using the wavelet approach, the present study aims to recommend whether there exist different time horizon-based hedging abilities across the asset classes.Design/methodology/approachThe approach used in this study is a multiscale decomposition of time series based on wavelets of daily prices of 13 asset classes. Since the wavelet analysis allows to decompose the time series into its frequency components at different time scales by a filtering process the study covered 1-day, 8-day, and 64-day time horizons to examine the hedging properties across those asset classes.FindingsThe results of this study show that hedging effectiveness differs among stock markets over time. In some cases, cryptocurrencies may keep their hedging properties across time while in others they switch from safe haven to hedge devices. In almost all cases, the three main cryptocurrencies showed diversifying properties as was observed by the multiscale correlation and hedge ratio estimations. In a competing sense, gold showed safe haven properties across time than cryptocurrencies except at an 8-day time scale where hedge ratios were low, positive and statistically different from zero that could be interpreted as a good hedge device in the medium term.Research limitations/implicationsThough this research has considered a set of thirteen asset classes, it was limited to a period in which most cryptocurrencies started trading for the first time which reduces the number of observations compared to Bitcoin prices and stable coins such as Ethereum, Ripple, and Bitcoin Cash. Also, the research was focused on the GCC stock markets which may have different results as compared to other regional markets of Asia or Latin America. A comparative analysis in future could be another area of research in future.Practical implicationsThis study has some significant policy implications. The cryptocurrency market is severely affected by demand and risk shocks to crude oil prices during the COVID-19 period. From the investor's point of view, diversification benefits can be obtained by combining cryptocurrencies along with oil-related products during episodes of financial turmoil and COVID-19 pandemic. The GCC region is constantly endeavoring to adopt more scientific tools and mechanisms of investment, and therefore, this study's results will provide some useful directions to the government, policymakers, financial institutions, and investors.Originality/valueThe current study covers a big bunch of 13 assets spanning across financial and real assets. This is based on literature gap and hence, will be a significant addition to the existing literature. Moreover, the GCC region is emerging as a global investment hub and this study will provide investors dynamic hedging strategies across these asset classes.","PeriodicalId":46579,"journal":{"name":"Journal of Risk Finance","volume":null,"pages":null},"PeriodicalIF":5.7000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Risk Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jrf-03-2023-0056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

PurposeThe aim of this research is to explore multiscale hedging strategies among cryptocurrencies, commodities, and GCC stocks. Particularly, this is done by evaluating the connectedness among these asset classes covering a period with COVID-19 implications. Using the wavelet approach, the present study aims to recommend whether there exist different time horizon-based hedging abilities across the asset classes.Design/methodology/approachThe approach used in this study is a multiscale decomposition of time series based on wavelets of daily prices of 13 asset classes. Since the wavelet analysis allows to decompose the time series into its frequency components at different time scales by a filtering process the study covered 1-day, 8-day, and 64-day time horizons to examine the hedging properties across those asset classes.FindingsThe results of this study show that hedging effectiveness differs among stock markets over time. In some cases, cryptocurrencies may keep their hedging properties across time while in others they switch from safe haven to hedge devices. In almost all cases, the three main cryptocurrencies showed diversifying properties as was observed by the multiscale correlation and hedge ratio estimations. In a competing sense, gold showed safe haven properties across time than cryptocurrencies except at an 8-day time scale where hedge ratios were low, positive and statistically different from zero that could be interpreted as a good hedge device in the medium term.Research limitations/implicationsThough this research has considered a set of thirteen asset classes, it was limited to a period in which most cryptocurrencies started trading for the first time which reduces the number of observations compared to Bitcoin prices and stable coins such as Ethereum, Ripple, and Bitcoin Cash. Also, the research was focused on the GCC stock markets which may have different results as compared to other regional markets of Asia or Latin America. A comparative analysis in future could be another area of research in future.Practical implicationsThis study has some significant policy implications. The cryptocurrency market is severely affected by demand and risk shocks to crude oil prices during the COVID-19 period. From the investor's point of view, diversification benefits can be obtained by combining cryptocurrencies along with oil-related products during episodes of financial turmoil and COVID-19 pandemic. The GCC region is constantly endeavoring to adopt more scientific tools and mechanisms of investment, and therefore, this study's results will provide some useful directions to the government, policymakers, financial institutions, and investors.Originality/valueThe current study covers a big bunch of 13 assets spanning across financial and real assets. This is based on literature gap and hence, will be a significant addition to the existing literature. Moreover, the GCC region is emerging as a global investment hub and this study will provide investors dynamic hedging strategies across these asset classes.
跨资产和商品的动态对冲策略-小波分析
本研究的目的是探索加密货币、大宗商品和海湾合作委员会股票之间的多尺度对冲策略。具体而言,这是通过评估这些资产类别之间的连通性来实现的,这些资产类别涵盖了受COVID-19影响的时期。利用小波分析方法,本研究旨在探讨不同资产类别是否存在不同的基于时间范围的套期保值能力。设计/方法/方法本研究中使用的方法是基于13种资产类别每日价格的小波对时间序列进行多尺度分解。由于小波分析允许通过过滤过程将时间序列分解为不同时间尺度的频率分量,因此研究涵盖了1天,8天和64天的时间范围,以检查这些资产类别的对冲属性。本研究的结果表明,对冲有效性在不同的股票市场随着时间的推移而不同。在某些情况下,加密货币可能会长期保持其对冲属性,而在另一些情况下,它们会从避险天堂转变为对冲工具。在几乎所有情况下,通过多尺度相关性和对冲比率估计可以观察到,三种主要加密货币表现出多样化的特性。在竞争意义上,黄金在整个时间内都比加密货币表现出安全的避险属性,除了在8天的时间尺度上,对冲比率较低,为正,在统计上不同于零,这可以被解释为中期的良好对冲工具。虽然这项研究考虑了一组13种资产类别,但它仅限于大多数加密货币首次开始交易的时期,这减少了与比特币价格和稳定硬币(如以太坊,Ripple和比特币现金)相比的观察数量。此外,研究的重点是海湾合作委员会的股票市场,与亚洲或拉丁美洲的其他区域市场相比,这些市场可能产生不同的结果。未来的比较分析可能是未来的另一个研究领域。实际意义本研究具有一些重要的政策意义。新冠肺炎疫情期间,加密货币市场受到原油价格需求和风险冲击的严重影响。从投资者的角度来看,在金融动荡和COVID-19大流行期间,通过将加密货币与石油相关产品结合起来,可以获得多元化收益。海湾合作委员会地区正在不断努力采用更科学的投资工具和机制,因此,本研究的结果将为政府、政策制定者、金融机构和投资者提供一些有用的指导。目前的研究涵盖了金融和实物资产等13种资产。这是基于文献的差距,因此,将是对现有文献的重大补充。此外,海湾合作委员会地区正在成为全球投资中心,本研究将为投资者提供这些资产类别的动态对冲策略。
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 求助全文
来源期刊
Journal of Risk Finance
Journal of Risk Finance BUSINESS, FINANCE-
CiteScore
6.20
自引率
6.70%
发文量
37
期刊介绍: The Journal of Risk Finance provides a rigorous forum for the publication of high quality peer-reviewed theoretical and empirical research articles, by both academic and industry experts, related to financial risks and risk management. Articles, including review articles, empirical and conceptual, which display thoughtful, accurate research and be rigorous in all regards, are most welcome on the following topics: -Securitization; derivatives and structured financial products -Financial risk management -Regulation of risk management -Risk and corporate governance -Liability management -Systemic risk -Cryptocurrency and risk management -Credit arbitrage methods -Corporate social responsibility and risk management -Enterprise risk management -FinTech and risk -Insurtech -Regtech -Blockchain and risk -Climate change and risk
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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