Comparative assessment of US and India’s exchange traded funds (ETFs): Performance evaluation of tailwinds and headwinds recommendations

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES Pub Date : 2022-10-03 DOI:10.1080/02522667.2022.2128531
S. Jaiswal, Kawal Nain Singh
{"title":"Comparative assessment of US and India’s exchange traded funds (ETFs): Performance evaluation of tailwinds and headwinds recommendations","authors":"S. Jaiswal, Kawal Nain Singh","doi":"10.1080/02522667.2022.2128531","DOIUrl":null,"url":null,"abstract":"Abstract Long-term worldwide investment trends show that exchange-traded funds (ETFs) are becoming popular for passive investing. Nifty Bees established in 2001 was the first ETF to follow passive equities assets in India. Here, we will take a closer look at the Indian ETF market, as well as key policy considerations, and how to proceed. To put things in perspective, given the maturity of the US ETF market, the study compares the Indian ETF market to the US wherever possible on both a qualitative and quantitative basis. That’s how the paper’s laid out. After a quick introduction to ETFs and their history in India, the study looks in detail at how the market is structured and who the major players in the market in detail. These two sections outline the industry’s tailwinds and headwinds. There are certain policy ideas that might help the business grow further. The findings of the study stated that US ETF are more traded in volume in comparison to Indian ETF.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02522667.2022.2128531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract Long-term worldwide investment trends show that exchange-traded funds (ETFs) are becoming popular for passive investing. Nifty Bees established in 2001 was the first ETF to follow passive equities assets in India. Here, we will take a closer look at the Indian ETF market, as well as key policy considerations, and how to proceed. To put things in perspective, given the maturity of the US ETF market, the study compares the Indian ETF market to the US wherever possible on both a qualitative and quantitative basis. That’s how the paper’s laid out. After a quick introduction to ETFs and their history in India, the study looks in detail at how the market is structured and who the major players in the market in detail. These two sections outline the industry’s tailwinds and headwinds. There are certain policy ideas that might help the business grow further. The findings of the study stated that US ETF are more traded in volume in comparison to Indian 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
美国和印度交易所交易基金(ETF)的比较评估:顺风和逆风建议的绩效评估
摘要全球长期投资趋势表明,交易所交易基金(ETF)正成为被动投资的热门。成立于2001年的Nifty Bees是印度第一只追随被动股票资产的ETF。在这里,我们将仔细了解印度ETF市场,以及关键的政策考虑因素,以及如何进行。客观地说,鉴于美国ETF市场的成熟度,该研究尽可能在定性和定量的基础上将印度ETF市场与美国进行了比较。这就是报纸的布局。在快速介绍了ETF及其在印度的历史后,该研究详细介绍了市场的结构以及市场中的主要参与者。这两部分概述了该行业的顺风和逆风。有一些政策想法可能有助于业务的进一步发展。研究结果表明,与印度ETF相比,美国ETF的交易量更大。
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 INFORMATION & OPTIMIZATION SCIENCES
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES INFORMATION SCIENCE & LIBRARY SCIENCE-
自引率
21.40%
发文量
88
期刊最新文献
An approach to fuzzy transportation problem using Triacontakaidigon fuzzy number with alpha cut ranking technique Credit strategy of micro, small, and medium enterprises with known reputation risk: Evidence from a comprehensive evaluation model Some results on the open subset intersection graph of a product topological space Deep learning for automatic identification of plants through leaf DCGAN-based deep learning approach for medicinal leaf identification
×
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