Exploring the relationship between macroeconomic indicators and sectoral indices of Indian stock market.

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2025-04-07 eCollection Date: 2025-01-01 DOI:10.12688/f1000research.160668.2
Sanjay Singh Chauhan, Pradeep Suri, Bhekisipho Twala, Neeraj Priyadarshi, Farman Ali
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引用次数: 0

Abstract

Background of the study: The influence of macroeconomic indicators makes it important to study the relationship between macroeconomic indicators and stock market return. On further analysis it can be observed that different sectors respond differently to change in the macroeconomic indicator that is important for investors, researchers and policy makers.

Methods: The autoregressive distributed lag (ARDL) model is applied to study influence of macroeconomic indicators on sectoral return of NSE from April 2012 to August 2024.

Results: Findings of the study show that macroeconomic indicators influence sectoral return in the short run as well as long run and the influence is differential. The analysis of long run relationship shows that Foreign Institutional Investment (FII) significantly affects all the sectoral indices except IT. Index of industrial production (IIP) have significant relationship with Auto, IT, Media, Metal and Pharma. Money supply (MS) significantly affects Bank, FMCG and IT in the long run. Wholesale Price Index (WPI) has significant relationship with Auto, FMCG and Media in the long run. Economic Policy Uncertainty Index (EPU) affects Auto, FMCG and Pharma in the long run. Crude oil price (COP) has significant effect only on Media in the long run. Exchange rate (ER) does not have significant effect on any of the sectoral index.

Conclusion: In the long run FII, IIP, EPU, MS and WIP are major determinants of stock market return. In the short run FII, ER and COP are major determinants of stock market return.

探讨宏观经济指标与印度股市行业指数之间的关系。
研究背景:宏观经济指标的影响使得研究宏观经济指标与股票市场收益的关系具有重要意义。进一步分析可以看出,不同部门对宏观经济指标变化的反应不同,而宏观经济指标对投资者、研究人员和政策制定者都很重要。方法:采用自回归分布滞后(ARDL)模型,研究2012年4月至2024年8月宏观经济指标对NSE行业收益的影响。结果:研究结果表明,宏观经济指标对行业收益既有短期影响,也有长期影响,且影响存在差异。长期关系分析表明,境外机构投资(FII)显著影响除IT外的所有行业指数。工业生产指数(IIP)与汽车、IT、传媒、金属和制药有显著的相关关系。从长期来看,货币供应量对银行、快速消费品和IT业都有显著影响。批发价格指数(WPI)与汽车、快消品和媒体在长期内有着显著的关系。经济政策不确定性指数(EPU)对汽车、快消品和医药行业的影响是长期的。原油价格(COP)仅对媒体有长期的显著影响。汇率(ER)对任何行业指数都没有显著影响。结论:从长期来看,FII、IIP、EPU、MS和WIP是股票市场收益的主要决定因素。在短期内,FII、ER和COP是股票市场回报的主要决定因素。
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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