国内机构投资者的投资模式

Purwa Srivastava, Sakshi Varshney
{"title":"国内机构投资者的投资模式","authors":"Purwa Srivastava, Sakshi Varshney","doi":"10.1504/ijbir.2023.134140","DOIUrl":null,"url":null,"abstract":"This research paper makes the first-ever study on the relationship between domestic institutional investors; DII, i.e., mutual fund; MF, insurance companies; INSU, development financial institution; DFI and banks with Indian stock market returns, at a disaggregated level. This analysis is based on ten-year daily data collected from Securities and Exchange Board of India, SEBI. During the study, Granger causality block exogeneity test verifies that stock returns predict MF, INSU, and DFI's investment behaviour. Additionally, correlation analysis shows a positive contemporaneous relationship of stock returns with buying and selling done by all the four DIIs. Quantile regression technique reveals that INSU and, MF are contrarian traders, whereas banks are momentum traders. With the analysis, we learnt that INSU is the most active trader at every quantile. MF is more active at lower quantiles. Banks are active traders at upper and lower quantiles, and DFI is active only at extreme quantiles.","PeriodicalId":40034,"journal":{"name":"International Journal of Business Innovation and Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investment pattern of domestic institutional investors\",\"authors\":\"Purwa Srivastava, Sakshi Varshney\",\"doi\":\"10.1504/ijbir.2023.134140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research paper makes the first-ever study on the relationship between domestic institutional investors; DII, i.e., mutual fund; MF, insurance companies; INSU, development financial institution; DFI and banks with Indian stock market returns, at a disaggregated level. This analysis is based on ten-year daily data collected from Securities and Exchange Board of India, SEBI. During the study, Granger causality block exogeneity test verifies that stock returns predict MF, INSU, and DFI's investment behaviour. Additionally, correlation analysis shows a positive contemporaneous relationship of stock returns with buying and selling done by all the four DIIs. Quantile regression technique reveals that INSU and, MF are contrarian traders, whereas banks are momentum traders. With the analysis, we learnt that INSU is the most active trader at every quantile. MF is more active at lower quantiles. Banks are active traders at upper and lower quantiles, and DFI is active only at extreme quantiles.\",\"PeriodicalId\":40034,\"journal\":{\"name\":\"International Journal of Business Innovation and Research\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Business Innovation and Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijbir.2023.134140\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Business Innovation and Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijbir.2023.134140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文首次对国内机构投资者之间的关系进行了研究;DII,即共同基金;MF、保险公司;开发性金融机构;DFI和银行与印度股市的回报,在一个分类的水平。这一分析是基于从印度证券交易委员会(SEBI)收集的10年每日数据。在研究中,格兰杰因果块外生性检验验证了股票收益对MF、INSU和DFI的投资行为具有预测作用。此外,相关分析显示,股票收益与所有四个dii的买入和卖出之间存在正相关关系。分位数回归技术表明,INSU和MF是逆向交易者,而银行是动量交易者。通过分析,我们了解到INSU在每个分位数上都是最活跃的交易者。MF在较低的分位数处更活跃。银行在上分位数和下分位数上都是活跃的交易者,而DFI只在极端分位数上活跃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investment pattern of domestic institutional investors
This research paper makes the first-ever study on the relationship between domestic institutional investors; DII, i.e., mutual fund; MF, insurance companies; INSU, development financial institution; DFI and banks with Indian stock market returns, at a disaggregated level. This analysis is based on ten-year daily data collected from Securities and Exchange Board of India, SEBI. During the study, Granger causality block exogeneity test verifies that stock returns predict MF, INSU, and DFI's investment behaviour. Additionally, correlation analysis shows a positive contemporaneous relationship of stock returns with buying and selling done by all the four DIIs. Quantile regression technique reveals that INSU and, MF are contrarian traders, whereas banks are momentum traders. With the analysis, we learnt that INSU is the most active trader at every quantile. MF is more active at lower quantiles. Banks are active traders at upper and lower quantiles, and DFI is active only at extreme quantiles.
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
International Journal of Business Innovation and Research
International Journal of Business Innovation and Research Business, Management and Accounting-Business and International Management
CiteScore
2.10
自引率
0.00%
发文量
92
期刊介绍: One of the largest unrealised opportunities in organisations is fully leveraging ideas and knowledge to transform business processes into continuing innovation. Global markets and operations force companies to rethink business innovation and research activities and in turn their overall competitiveness. Business innovation and research contribute significantly to improvement in enterprise productivity and quality, integral components of business strategy and success. IJBIR covers developments in the theory and applications of business and entrepreneurship innovation strategies, methods and tools to enhance competitiveness. Topics covered include: -Business research methods- Innovation in finance/accounting- International business/finance- Strategy innovation, strategic alliances, BPR- Business research for decision making- Innovation/research in marketing, SMEs- Buyer/consumer behaviour, CSR- Global supply chain/networks, outsourcing, export/import, retailing- Organisational competitiveness/learning/leadership- Service industries, healthcare, new product/process innovation- Empirical analysis, case studies, performance measures- Benchmarking/best practices in innovation activities- Role of IT/IS, e-business, technological innovation- Knowledge management, technology transfer- Business law, ethics, environmental standards
×
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