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.

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 The nexus between stock market index and apartment and villa prices

2017 ◽  
Vol 10 (3) ◽  
pp. 450-467 ◽  
Author(s):  
Peter Öhman ◽  
Darush Yazdanfar
Keyword(s):  
Stock Market ◽  
Housing Prices ◽  
Consumer Price Index ◽  
Causal Link ◽  
Stock Market Index ◽  
Monthly Data ◽  
Content Type ◽  
Market Index ◽  
Long Run ◽  
Causality Tests

Purpose The purpose of this study is to investigate the Granger causal link between the stock market index and housing prices in terms of apartment and villa prices. Design/methodology/approach Monthly data from September 2005 to October 2013 on apartment prices, villa prices, the stock market index, mortgage rates and the consumer price index were used. Statistical methods were applied to explore the long-run co-integration and Granger causal link between the stock market index and apartment and villa prices in Sweden. Findings The results indicate that the stock market index and housing prices are co-integrated and that a long-run equilibrium relationship exists between them. According to the Granger causality tests, bidirectional relationships exist between the stock market index and apartment and villa prices, respectively, supporting the wealth and credit-price effects. Moreover, variations in apartment and villa prices are primarily caused by endogenous shocks. Originality/value To the authors’ best knowledge, this study represents a first analysis of the causal nexus between the stock market and the housing market in terms of apartment and villa prices in the Swedish context using a vector error-correction model to analyze monthly data.

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 Economic Interactions among Stock Market Performance and Macroeconomic Variables with Mediating Role of Gold Prices Volatilities: An Evidence from Pakistan

2021 ◽  
Vol 7 (3) ◽  
pp. 383-394
Author(s):  
Rukhsana Rasheed ◽  
Mazhar Nadeem Ishaq ◽  
Rabia Anwar ◽  
Mehwish Shahid
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Market Performance ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Stock Market Performance ◽  
The Impact

In all emerging economies, one of the most challenging issues for investors is the multifaceted inter-relationship between volatility of gold prices and stock market index. During the COVID-19 sub-periods, gold has shown a strong hedging behavior against stock market performance. The main objective of this study was to quantify the long-run relationship among multiple independent macroeconomic variables (predictors) on stock market index (response variable) using the volatilities of gold prices as a mediator factor. This study applied the descriptive statistics, correlation, t-test and OLS multiple regression Model. The specific data comprised of period 2011-2020 regarding the fluctuations in gold prices, exchange rate, interest rate, inflation rate and performance of stock market index has been utilized. The statistical outputs of models showed that exchange rate (Dollar to PKR) was positively affecting the performance of Karachi Stock Exchange (KSE)-100 Index, whereas inflation rate and interest rate were negatively affecting the overall performance of KSE100 index. The findings of this study suggested that to achieve better performance of stock market, relatively low interest rate and inflation rate contribute a significant role. However, to increase the generalization capabilities of this study the impact of mentioned macroeconomic variables in other sectors like industrial production, oil & gas and energy sectors with wider time span can be more helpful.

scholarly journals The Role of Gold Prices and Interest Rate in Stock Index: Insights from Vietnam by Using the Autoregressive Distributed Lag Approach

2020 ◽  
Vol 12 (1) ◽  
pp. 178
Author(s):  
Le Thi Minh Huong ◽  
Phan Minh Trung
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Interest Rates ◽  
Stock Index ◽  
Stock Market Index ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Market Index ◽  
Long Run ◽  
Short Run

This study aimed to determine the impact of domestic gold prices, interest rates in the stock market index (VNI) in Vietnam for the period of January 2009 to December 2018. This study employed the Autoregressive Distributed Lag (ARDL) to check the association of Independent variable gold prices and the interest rate on the dependent variable stock market index. The results show a close correlation together in the long-run. The Vietnam stock index is adversely affected by fluctuations in the credit market in the short-run. We observed that domestic gold prices and interest rates have one-way causal relations to the stock price index. Similarly, interest rates were causal for gold prices and still not yet had any particular direction. The adjustment in the short-run moves the long-run equilibrium, although the change is quite slow.

scholarly journals Interest rate, liquidity and stock market performance in Ghana

2016 ◽  
Vol 4 (1) ◽  
pp. 46 ◽  
Author(s):  
Micheal Kofi Boachie ◽  
Isaac Osei Mensah ◽  
Albert Opoku Frimpong ◽  
Martin Ruzima
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Stock Exchange ◽  
Market Performance ◽  
Stock Market Index ◽  
Monthly Data ◽  
Market Index ◽  
Stock Market Performance ◽  
M Estimation ◽  
Ghana Stock Exchange

<p>In this study, we examined the effect of interest rate and liquidity growth on stock market performance in Ghana using monthly data from the Ghana Stock Exchange and Bank of Ghana for the period 2010:12 to 2013:11. After employing robust linear regression (M-Estimation), there is a compelling evidence that performance of the Ghanaian stock market is highly influenced by liquidity growth, exchange rate and inflation; and that interest rate effect is insignificant though positive on the stock market index for the period under study.</p>

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.

Impact of Macroeconomics variable on the Stock Market index; A Study From Pakistan

2014 ◽  
Vol 1 (1) ◽  
pp. 258
Author(s):  
Waseem Ahmad Khan ◽  
Muhammad Arif Javed ◽  
Nimra Shahzad ◽  
Qandeel Sheikh ◽  
Samina Saddique ◽  
...  
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Focal Point ◽  
Pearson Correlation ◽  
Negative Relationship ◽  
Stock Market Index ◽  
Market Index ◽  
Stock Market Performance ◽  
The Government ◽  
The Interest Rate

The focal point of this research article is to examine the possible impact of macroeconomic variable like fiscal policies and monetary policies (interest rate) and inflation rates on stock market performance in Pakistan. The Pearson correlation and regression analysis techniques were applied. For this purpose monthly data have been used. The paper finds that the Pakistan stock market index is significantly affected by the fiscal policy, monetary policy and inflation. The results have shown that the interest rate  and government revenue have a significant negative relationship with the stock market index in Pakistan, whereas the inflation rate and the government expenditures have a significant positive relationship with the stock market Index in Pakistan. 

The asymmetric impact of interest and exchange rate on the stock market index: evidence from MENA region

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faten Moussa ◽  
Ezzeddine Delhoumi
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Stock Markets ◽  
Stock Market Index ◽  
Mena Region ◽  
Content Type ◽  
Market Index ◽  
The Exchange Rate ◽  
The Interest Rate

PurposeSeveral theoretical and empirical studies have shown the significant effects of economic and environmental factors on a large number of financial indicators. In this paper the authors are going to study whether the main stock market index, is impacted by the variations of the exchange rate and the interest rates.Design/methodology/approachThis paper studies the response of the index market return to fluctuations in the interest rate and the exchange rate in five countries from the MENA region (Tunisia, Morocco, Egypt, Turkey and Jordan). To investigate whether this impact exists, the authors used the non-linear autoregressive distributed lag (NARDL) model with daily data from June 1998 to June 2018.FindingsThe application of the non-linear ARDL model confirms the presence of cointegration between return index, interest rate and exchange rate. The results show that the asymmetry hypothesis is only valid for the short run which suggests that the market index is sensitive to the variation in the interest rate and exchange rate. This means that these macroeconomic factors play an important role in the MENA region stock markets.Originality/valueThe findings confirm that the index returns in the MENA region stock markets are related to macroeconomic fundamentals such as the exchange rate and the real interest rate. The reaction of some indices is sensitive to whether the shocks are positive or negative. This finding may help investors to choose their strategies starting from these changes. Accordingly, policy makers must pay attention to the development progress of stock market.

scholarly journals Impacts of Macroeconomy on Stock Market: Evidence from Pakistan

2014 ◽  
Vol 3 (3) ◽  
pp. 140-146
Author(s):  
Farid Ullah ◽  
Ijaz Hussain ◽  
Abdur Rauf
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Negative Association ◽  
Macroeconomic Factors ◽  
Monthly Data ◽  
Macroeconomic Variables ◽  
Long Span ◽  
Long Run

Stock market is a place where the securities of listed companies are traded and this can be affected by both macroeconomic and non-macroeconomic factors. The impacts of macroeconomic factors on stock market of Pakistan are investigated in the current study. For this purpose monthly data covering the period from January 2008 to December 2012 is used in this study while taking the three most important macroeconomic variables, Exchange Rate, Interest Rate and Inflation. Using the more advance Bound Testing Approach, a very strong long run cointegration is found amongst the variables taken for the study. In the long span of time, the results suggest that both Exchange Rate and Interest Rate have negative association with stock market of Pakistan while the Inflation Rate does not create such a condition that affect the stock market of Pakistan. Same results are found for the shorter version of time.

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