{"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}
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.
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