Cointegration and causality relationship of Indian stock market with selected world markets.

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2024-08-13 eCollection Date: 2022-01-01 DOI:10.12688/f1000research.123849.4
Farman Ali, Pradeep Suri, Tarunpreet Kaur, Deepa Bisht
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Abstract

Background: The purpose of this study is to explore the trends and causes of established and emerging nations' stock market integration with India. The National Stock Exchange (NSE) indices act as a counterweight to international market indices. This study investigates the sustained interest of foreign investors in the Indian stock market in the wake of capital market reforms, as well as whether it moves in tandem with other markets in Asia and the United States. Methods: Our study examined the possibility of cross-country cointegration between the largest economies and indices around the world using multiple financial econometric models, such as Augmented Dickey-Fuller, Unit Root, Correlation, and Johansen Cointegration. Results: The findings of this study significantly support the notion that Indian and international financial markets are highly integrated. Vector error correction model indicates that the Indian market (NSE) is highly cointegrated with the US market (National Association of Securities Dealers Automated Quotations) and increased volatility signifies global contagion. Conclusion: A cursory examination of the data reveals distinct investment and portfolio diversification options for global investors. This could assist regulators in formulating more effective rules regarding price discovery processes.

印度股市与部分世界市场的协整和因果关系。
背景:本研究旨在探讨老牌国家和新兴国家股票市场与印度融合的趋势和原因。印度国家证券交易所(NSE)指数是国际市场指数的制衡。本研究调查了外国投资者在资本市场改革后对印度股市的持续兴趣,以及印度股市是否与亚洲和美国其他市场同步发展。研究方法:我们的研究使用了多种金融计量经济学模型,如 Augmented Dickey-Fuller、Unit Root、Correlation 和 Johansen Cointegration,考察了全球最大经济体和指数之间存在跨国协整关系的可能性。研究结果本研究的结果极大地支持了印度与国际金融市场高度融合的观点。向量误差修正模型表明,印度市场(NSE)与美国市场(全美证券交易商协会自动报价)高度协整,波动性增加意味着全球传染。结论对数据的粗略研究揭示了全球投资者独特的投资和投资组合多样化选择。这有助于监管机构制定更有效的价格发现过程规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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