新兴市场与QGREEN、金融科技和人工智能指数的时间和频率连通性:新冠疫情的教训

IF 3 Q2 BUSINESS
Sudhi Sharma, Vaibhav Aggarwal, Namita Dixit, Miklesh Yadav
{"title":"新兴市场与QGREEN、金融科技和人工智能指数的时间和频率连通性:新冠疫情的教训","authors":"Sudhi Sharma, Vaibhav Aggarwal, Namita Dixit, Miklesh Yadav","doi":"10.1177/09722629221141553","DOIUrl":null,"url":null,"abstract":"The study is about contributing to the ongoing discussion on the diversification opportunities for emerging markets with non-conventional asset class. The limited literature in the era of fourth industrial revolution motivates us to gauge diversification opportunities. This study is focusing on identifying diversification opportunities with a set of unique asset classes that are the proxies for Green Funds, FinTech and Artificial Intelligence-based index funds. The method and model applied in the study are time and frequency connectedness in a Wavelet Coherence, and for the robustness check—Network analysis has been applied. The originality of the study lies in identifying the impact of the outbreak of COVID-19. The results captured that FinTech-based asset was the most resilient asset class during the pre- and post-outbreak of COVID-19, followed by AI-based fund and finally by Green fund. Henceforth, FinTech provides superior diversification opportunities among all with MSCI Emerging Market. AI and Green funds are captured to be invested in the long term for diversification, whereas FinTech is suitable for both long- and short-term assets. The results are relevant for investors in emerging markets and for policymakers as well.","PeriodicalId":44860,"journal":{"name":"Vision-The Journal of Business Perspective","volume":"22 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Time and Frequency Connectedness Among Emerging Markets and QGREEN, FinTech and Artificial Intelligence-Based Index: Lessons from the Outbreak of COVID-19\",\"authors\":\"Sudhi Sharma, Vaibhav Aggarwal, Namita Dixit, Miklesh Yadav\",\"doi\":\"10.1177/09722629221141553\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study is about contributing to the ongoing discussion on the diversification opportunities for emerging markets with non-conventional asset class. The limited literature in the era of fourth industrial revolution motivates us to gauge diversification opportunities. This study is focusing on identifying diversification opportunities with a set of unique asset classes that are the proxies for Green Funds, FinTech and Artificial Intelligence-based index funds. The method and model applied in the study are time and frequency connectedness in a Wavelet Coherence, and for the robustness check—Network analysis has been applied. The originality of the study lies in identifying the impact of the outbreak of COVID-19. The results captured that FinTech-based asset was the most resilient asset class during the pre- and post-outbreak of COVID-19, followed by AI-based fund and finally by Green fund. Henceforth, FinTech provides superior diversification opportunities among all with MSCI Emerging Market. AI and Green funds are captured to be invested in the long term for diversification, whereas FinTech is suitable for both long- and short-term assets. The results are relevant for investors in emerging markets and for policymakers as well.\",\"PeriodicalId\":44860,\"journal\":{\"name\":\"Vision-The Journal of Business Perspective\",\"volume\":\"22 1\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2023-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vision-The Journal of Business Perspective\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09722629221141553\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vision-The Journal of Business Perspective","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09722629221141553","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 3

摘要

这项研究旨在为正在进行的关于新兴市场非常规资产类别多元化机会的讨论做出贡献。在第四次工业革命时代,有限的文献促使我们衡量多元化机会。本研究的重点是通过一系列独特的资产类别来识别多样化的机会,这些资产类别是绿色基金、金融科技和基于人工智能的指数基金的代理。研究中使用的方法和模型是小波相干中的时间和频率连通性,对于鲁棒性检查采用了网络分析。该研究的独创性在于确定了COVID-19爆发的影响。结果显示,在COVID-19爆发前后,基于金融科技的资产是最具弹性的资产类别,其次是基于人工智能的基金,最后是绿色基金。此后,FinTech在所有MSCI新兴市场中提供了卓越的多元化机会。人工智能和绿色基金被用于长期投资,以实现多元化,而金融科技既适合长期投资,也适合短期投资。研究结果对新兴市场的投资者和政策制定者都有意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time and Frequency Connectedness Among Emerging Markets and QGREEN, FinTech and Artificial Intelligence-Based Index: Lessons from the Outbreak of COVID-19
The study is about contributing to the ongoing discussion on the diversification opportunities for emerging markets with non-conventional asset class. The limited literature in the era of fourth industrial revolution motivates us to gauge diversification opportunities. This study is focusing on identifying diversification opportunities with a set of unique asset classes that are the proxies for Green Funds, FinTech and Artificial Intelligence-based index funds. The method and model applied in the study are time and frequency connectedness in a Wavelet Coherence, and for the robustness check—Network analysis has been applied. The originality of the study lies in identifying the impact of the outbreak of COVID-19. The results captured that FinTech-based asset was the most resilient asset class during the pre- and post-outbreak of COVID-19, followed by AI-based fund and finally by Green fund. Henceforth, FinTech provides superior diversification opportunities among all with MSCI Emerging Market. AI and Green funds are captured to be invested in the long term for diversification, whereas FinTech is suitable for both long- and short-term assets. The results are relevant for investors in emerging markets and for policymakers as well.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.60
自引率
0.00%
发文量
121
期刊介绍: Vision-The Journal of Business Perspective is a quarterly peer-reviewed journal of the Management Development Institute, Gurgaon, India published by SAGE Publications. This journal contains papers in all functional areas of management, including economic and business environment. The journal is premised on creating influence on the academic as well as corporate thinkers. Vision-The Journal of Business Perspective is published in March, June, September and December every year. Its targeted readers are researchers, academics involved in research, and corporates with excellent professional backgrounds from India and other parts of the globe. Its contents have been often used as supportive course materials by the academics and corporate professionals. The journal has been providing opportunity for discussion and exchange of ideas across the widest spectrum of scholarly opinions to promote theoretical, empirical and comparative research on problems confronting the business world. Most of the contributors to this journal range from the outstanding and the well published to the upcoming young academics and corporate functionaries. The journal publishes theoretical as well as applied research works.
×
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