{"title":"GDP 和通货膨胀对印度股市的影响:上证指数案例研究","authors":"Satyendra Kushwaha, Sarad Chandra Kafle, Baburam Khanal","doi":"10.3126/bmcjsr.v6i1.60961","DOIUrl":null,"url":null,"abstract":"Stock market is affected by various factors. Among them, gross domestic product and inflation are the major variables. This research paper focuses how GDP and inflation affect the Indian stock market. Objective of this study is to examine the association between real GDP, inflation, and the performance of the Indian stock market. This research studies the impact of GDP and Inflation on volatility between the Bombay Stock Exchange (BSE) and macroeconomic variables. The analysis uses a multiple regression equation model to examine how these factors interact. The data collected consists of annual records of Real GDP and the inflation rate spanning from 1980 to 2021. The result shows that there is the strong positive correlation between GDP and BSE index. Similarly, there is the moderate negative correlation between Inflation and BSE index. The regression model provides the very strong impact of independent variables on the BSE index where independent variables are explaining 88.5% variation in BSE Index. Also, BSE increases 17.08% with a one percentage point GDP growth, where as one percentage increase in Inflation makes 2.17% decrease in BSE. The study found the microeconomic variable GDP and Inflation used in regression analysis are good explanatory variables. The regression model developed in this study is important in explaining the relationship between the dependent and independent variables. Stock market performance is typically shaped by various macroeconomic factors, including interest rates, remittances, foreign direct investment, per capita income, and dividends. However, the current research only employs two explanatory variables to analyze stock prices. Therefore, there is an opportunity for further investigation to elucidate how these additional explanatory variables impact stock prices. Findings of the research help the concerned stakeholders for making policy and aware them in the investment plans.","PeriodicalId":404599,"journal":{"name":"BMC Journal of Scientific Research","volume":"46 30","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of GDP and Inflation on Stock Market in India: A Case Study of BSE Index\",\"authors\":\"Satyendra Kushwaha, Sarad Chandra Kafle, Baburam Khanal\",\"doi\":\"10.3126/bmcjsr.v6i1.60961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stock market is affected by various factors. Among them, gross domestic product and inflation are the major variables. This research paper focuses how GDP and inflation affect the Indian stock market. Objective of this study is to examine the association between real GDP, inflation, and the performance of the Indian stock market. This research studies the impact of GDP and Inflation on volatility between the Bombay Stock Exchange (BSE) and macroeconomic variables. The analysis uses a multiple regression equation model to examine how these factors interact. The data collected consists of annual records of Real GDP and the inflation rate spanning from 1980 to 2021. The result shows that there is the strong positive correlation between GDP and BSE index. Similarly, there is the moderate negative correlation between Inflation and BSE index. The regression model provides the very strong impact of independent variables on the BSE index where independent variables are explaining 88.5% variation in BSE Index. Also, BSE increases 17.08% with a one percentage point GDP growth, where as one percentage increase in Inflation makes 2.17% decrease in BSE. The study found the microeconomic variable GDP and Inflation used in regression analysis are good explanatory variables. The regression model developed in this study is important in explaining the relationship between the dependent and independent variables. Stock market performance is typically shaped by various macroeconomic factors, including interest rates, remittances, foreign direct investment, per capita income, and dividends. However, the current research only employs two explanatory variables to analyze stock prices. Therefore, there is an opportunity for further investigation to elucidate how these additional explanatory variables impact stock prices. 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引用次数: 0
摘要
股市受多种因素影响。其中,国内生产总值和通货膨胀是主要变量。本研究论文的重点是国内生产总值和通货膨胀如何影响印度股市。本研究的目的是考察实际 GDP、通货膨胀与印度股市表现之间的关联。本研究探讨了 GDP 和通货膨胀对孟买证券交易所(BSE)与宏观经济变量之间波动性的影响。分析采用多元回归方程模型来研究这些因素如何相互作用。收集的数据包括 1980 年至 2021 年的实际国内生产总值和通货膨胀率的年度记录。结果显示,国内生产总值与上证指数之间存在较强的正相关性。同样,通货膨胀率与上证指数之间存在中等程度的负相关。回归模型显示,自变量对上证指数的影响非常大,自变量解释了上证指数 88.5%的变化。此外,国内生产总值每增长一个百分点,上证指数就会增长 17.08%,而通货膨胀每增长一个百分点,上证指数就会下降 2.17%。研究发现,回归分析中使用的微观经济变量 GDP 和通货膨胀是很好的解释变量。本研究建立的回归模型对于解释因变量和自变量之间的关系非常重要。股市表现通常受各种宏观经济因素的影响,包括利率、汇款、外国直接投资、人均收入和股息。然而,目前的研究只采用了两个解释变量来分析股票价格。因此,有机会进一步调查,以阐明这些额外的解释变量如何影响股票价格。研究结果有助于相关利益方制定政策和投资计划。
Impact of GDP and Inflation on Stock Market in India: A Case Study of BSE Index
Stock market is affected by various factors. Among them, gross domestic product and inflation are the major variables. This research paper focuses how GDP and inflation affect the Indian stock market. Objective of this study is to examine the association between real GDP, inflation, and the performance of the Indian stock market. This research studies the impact of GDP and Inflation on volatility between the Bombay Stock Exchange (BSE) and macroeconomic variables. The analysis uses a multiple regression equation model to examine how these factors interact. The data collected consists of annual records of Real GDP and the inflation rate spanning from 1980 to 2021. The result shows that there is the strong positive correlation between GDP and BSE index. Similarly, there is the moderate negative correlation between Inflation and BSE index. The regression model provides the very strong impact of independent variables on the BSE index where independent variables are explaining 88.5% variation in BSE Index. Also, BSE increases 17.08% with a one percentage point GDP growth, where as one percentage increase in Inflation makes 2.17% decrease in BSE. The study found the microeconomic variable GDP and Inflation used in regression analysis are good explanatory variables. The regression model developed in this study is important in explaining the relationship between the dependent and independent variables. Stock market performance is typically shaped by various macroeconomic factors, including interest rates, remittances, foreign direct investment, per capita income, and dividends. However, the current research only employs two explanatory variables to analyze stock prices. Therefore, there is an opportunity for further investigation to elucidate how these additional explanatory variables impact stock prices. Findings of the research help the concerned stakeholders for making policy and aware them in the investment plans.