scholarly journals Impact of Selected Macroeconomic Variables on Indian Stock Market Index

2019 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Herpreet Kaur ◽  
Jagdeep Singh
Keyword(s):  
Stock Market ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Indian Stock Market

scholarly journals A Study on Affiliation between Indian Stock Market and Macro Economic Variables

2018 ◽  
Vol 5 (01) ◽  
Author(s):  
Pooja Chaturvedi Sharma
Keyword(s):  
Stock Market ◽  
Inflation Rate ◽  
Stock Market Volatility ◽  
Stock Market Index ◽  
Complex Interplay ◽  
Monthly Data ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Causality Tests ◽  
Indian Stock Market

Stock market volatility is a result of complex interplay of a host of factors. Hence, it is difficult to make a correct assessment of its movement. Macroeconomic variables have are very much influential in context of the volatility of stock market. This study inspects the association amongst stock market index and selected macroeconomic variables. For the analysis unit root, co-integration, Granger causality tests and Johansen co-integration tests were performed. Outcomes of the study showed that all the variables namely money supply, exchange rate and inflation rate are positively correlated with the stock market index except gold prices. Co-integration existed between the stock market index and macroeconomic variables. The study uses monthly data of past ten years (i.e. from April 2008 to March 2018).

scholarly journals Effect of Macroeconomic Determinants on Indian Stock Market

2019 ◽  
Vol 8 (2) ◽  
pp. 22-27
Author(s):  
Krishna Gadasandula
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Causality Analysis ◽  
Stock Market Index ◽  
Causality Test ◽  
Macroeconomic Variables ◽  
Bank Rate ◽  
Market Index ◽  
Long Run ◽  
Indian Stock Market

Stock market is one of the important forms of investment. The prices of stock markets are affected by much macro-economic factors. The study investigates the relationships between the Indian stock market index (NSE Nifty) and four macroeconomic variables, namely, GDP, Inflation, Exchange Rate and Bank Rate. The data is collected on a quarterly basis for the time period March 2000 to December 2017. The study employs the Johansen’s co-integration approach to the long-run equilibrium relationship between stock market index and macroeconomic variables. For causality analysis, the study carried out Granger and Geweke causality tests. From this paper it is observed that the Granger causality test results do not demonstrate the presence of any bidirectional causality. The results show the unidirectional causal associations running from GDP to Inflation, Bank Rate to GDP, Exchange Rate to GDP, NIFTY Index to GDP, Exchange Rate to Inflation, NIFTY Index to Inflation, and Bank Rate to NIFTY Index. Apart from that, the results also show no causal association between Inflation and Bank Rate, Bank Rate and Exchange Rate, and Exchange Rate and NIFTY Index. However, the bidirectional causal associations appear. When we look into the results of Geweke causality analysis shows that bidirectional causal associations exist between Inflation and Bank Rate, and Exchange Rate and Nifty Index.

scholarly journals The long-Run and Short-Run Analysis between Stock Market Index and Macroeconomic Variables in Jordan: Bounds Tests Approach

2019 ◽  
Vol 12 (4) ◽  
pp. 50
Author(s):  
Raed Walid Al-Smadi ◽  
Muthana Mohammad Omoush
Keyword(s):  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run

This paper investigates the long-run and short-run relationship between stock market index and the macroeconomic variables in Jordan. Annual time series data for the 1978–2017 periods and the ARDL bounding test are used. The results identify long-run equilibrium relationship between stock market index and the macroeconomic variables in Jordan. Jordanian policy makers have to pay more attention to the current regulation in the Amman Stock Exchange(ASE) and manage it well, thus ultimately helping financial development.

scholarly journals Effect Of Macroeconomic Variables On Stock Market Returns For Four Emerging Economies: Brazil, Russia, India, And China

2011 ◽  
Vol 7 (3) ◽  
Author(s):  
Robert D. Gay, Jr.
Keyword(s):  
Stock Market ◽  
Emerging Economies ◽  
Stock Market Index ◽  
Market Returns ◽  
Stock Market Returns ◽  
Macroeconomic Variables ◽  
Share Prices ◽  
Market Index ◽  
The Relationship ◽  
India And China

The relationship between share prices and macroeconomic variables is well documented for the United States and other major economies. However, what is the relationship between share prices and economic activity in emerging economies? The goal of this study is to investigate the time-series relationship between stock market index prices and the macroeconomic variables of exchange rate and oil price for Brazil, Russia, India, and China (BRIC) using the Box-Jenkins ARIMA model. Although no significant relationship was found between respective exchange rate and oil price on the stock market index prices of either BRIC country, this may be due to the influence other domestic and international macroeconomic factors on stock market returns, warranting further research. Also, there was no significant relationship found between present and past stock market returns, suggesting the markets of Brazil, Russia, India, and China exhibit the weak-form of market efficiency.

scholarly journals Asymmetric Volatility in the Nepalese Stock Market

2021 ◽  
Vol 22 (1) ◽  
pp. 41-59
Author(s):  
Dinesh Gajurel
Keyword(s):  
Stock Market ◽  
Spillover Effect ◽  
Equity Markets ◽  
Spillover Effects ◽  
Stock Market Index ◽  
International Equity Markets ◽  
Asymmetric Volatility ◽  
Market Index ◽  
International Equity ◽  
Indian Stock Market

This paper investigates the asymmetric volatility behavior of the Nepalese stock market including spillover effects from the US and Indian equity markets. I modeled asymmetric volatility within a generalized autoregressive conditional heteroskdasticy framework using comprehensive data for the Nepal stock market index. The results reveal a very different asymmetry compared to the results in other international equity markets: positive shocks increase volatility by more than negative shocks. The results further suggest that uninformed investors play a significant role in the Nepalese stock market. The spillover effect from the Indian stock market to the Nepalese stock market is negative. Overall, I conclude that a “fear of missing out” (FOMO) of noise traders as well as the deployment of pump and dump schemes are inherent features of the Nepalese stock market. The findings are very useful to policy makers and investors alike.

scholarly journals Impact of Macroeconomic Variables, American Stock Market Index and Covid-19 Pandemic on Indonesia Capital Market Development (Time Series Study 1990-2020)

2021 ◽  
Author(s):  
Almira Rizqia ◽  
Pudji Astuty ◽  
Heru Subiyantoro
Keyword(s):  
Stock Market ◽  
Capital Market ◽  
Market Development ◽  
Linear Regression Method ◽  
Annual Data ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Negative Effect ◽  
Positive Effect

The purpose of this study is 1.) To analyze the influence of foreign investment on the development of the Indonesian capital market. 2).To analyze the influence of the Exchange Rate on the Development of the Indonesian Capital Market. 3).To analyze the influence of the Interest Rate on the Development of the Indonesian Capital Market. 4).To analyze the influence of the Dow Jones Stock Market Index on the Development of the Indonesian Capital Market. 5).To analyze the influence of the Covid-19 Pandemic (dummy variable) on the Development of the Indonesian Capital Market.6). In this study, secondary data and library research were used as a technique for collecting data, using semi-annual data for the period 1990-2020. The research was processed using the EViews 11 program with the multiple linear regression method. The results of the research are known if 1.) Foreign Direct Investment has a significant and positive effect on Capital Market Development. 2.) Exchange Rates have a significant and positive influence on the Development of the Indonesian Capital Market. 3.) Interest Rates have a significant and negative effect on the Development of the Indonesian Capital Market. 4.) The Dow Jones Stock Market Index has a significant and positive effect on the Development of the Indonesian Capital Market. 5.) The Covid-19 pandemic had a significant and negative effect on the Development of the Indonesian Capital Market in the period 1990 to 2020. The results of this study are expected to contribute to policy holders regarding the role of macroeconomic variables on the development of the capital market, so that in the future it can be one of the references in conducting the policy mix so as to improve the development of the Indonesian capital market.

Long Term Effects of Major Macroeconomic Variables on the Brazilian Stock Market: A nonlinear ARDL application

2021 ◽  
Vol 9 (2) ◽  
pp. 289-299
Author(s):  
MARCELO MELO ◽  
WELIGTON GOMES
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Government Debt ◽  
Long Term Effects ◽  
Stock Market Index ◽  
Monthly Data ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Long Run ◽  
The Interest Rate

This research used NARDL methodology to investigate relevant macroeconomic variables influence on the Brazilian stock market index. We used monthly data from January/2000 to July/2020 and the six macroeconomic variables investigated are described as follows: net government's debt/GDP (DEBT), exports (EXPORT), consumer confidence (ICC), liquidity ratio (M4_PIB), interest rate (SELIC) besides the stock market index (IBOV). All monthly data were collected from IPEADATA. The main conclusions are that there is long run effect of IBOVESPA due to a decrease of government debt is clear and statistically significant, the long run effect in the liquidity ratio also affects IBOVESPA index. Moreover, the most outstanding result was the long run effect of decrease in the interest rate over the IBOVESPA index. Sustainable reductions in the interest rate would consistently stimulate the stock market index. Research outcomes also indicate that long run asymmetries of government debt, liquidity ratio and interest rate are reliable and statistically significant.

The Relationship between Macroeconomic Variables and Stock Market Index in Nigeria

2012 ◽  
Vol 3 (1) ◽  
pp. 55-63 ◽  
Author(s):  
Ifuero Osad Osamwonyi ◽  
Esther Ikavbo Evbayiro-Osagie
Keyword(s):  
Stock Market ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
The Relationship
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