scholarly journals Can stock markets lead the macroeconomic variables? Dynamic analysis based on TOP method

2019 ◽  
Vol 162 ◽  
pp. 39-45
Author(s):  
Zhenni Jin ◽  
Yijing Wang ◽  
Xiao Cui ◽  
Kun Guo
2021 ◽  
pp. 1-16
Author(s):  
Paulo Ferreira ◽  
Andreia Dionísio ◽  
Dora Almeida ◽  
Derick Quintino ◽  
Faheem Aslam

Author(s):  
Paulo Ferreira ◽  
Éder Pereira

The numbers of COVID-19 increase daily, both confirmed cases and deaths. All over the world, shock waves are felt with impacts on economies in general and the financial sector in particular. Aiming to assess the relationship between confirmed cases and deaths and the behaviour of stock markets, the authors perform a dynamic analysis, based on the Pearson correlation coefficient, for 10 of the most affected countries in the world. As expected, they find evidence that the number of COVID-19 cases had a negative effect on stock markets, and that the current second wave is penalizing them. They also find that deaths have a more relevant impact than the number of confirmed cases.


Author(s):  
Peter Ifeanyichukwu Ali ◽  
Samuel M. Nzotta ◽  
A. B. C. Akujuobi ◽  
Chilaka E. Nwaimo

The main purpose of this paper was to investigate the impact of macroeconomic variables on stock market return volatility in Sub-Sahara markets. The study concentrated on three stock markets including Ghana, Nigeria and South Africa using GARCH-X (1,1) model on monthly data from January 2000 to December 2017. Preliminary analyses from descriptive statistics show that show mean monthly returns are positive for all the stock markets. Skewness coefficients show that the stock returns and interest rates distribution of all Sub-Sahara Africa stock markets are negatively skewed but inflation rate is positively skewed for Nigeria and South Africa, and flat for Ghana. Excess kurtoses are positive for all the stock markets and macroeconomic indicators, and Jarque-Bera statistics indicate the stock markets’ series and macroeconomic indicators are not normally distributed. The Unit roots tests results indicate that all the stock markets and macroeconomic indicators are first difference stationary. The results of the GARCH-X (1,1) model show that macroeconomic variables do not significantly impact stock market returns volatility in Nigeria, Ghana and South Africa at the 5% significance Level. We therefore recommend that stock market regulators, market participants and investors should concentrate more efforts on other macroeconomic variables aside interest rate and inflation rate, in estimating stock market return volatility in Sub-Sahara Africa.


2013 ◽  
Vol 12 (3) ◽  
pp. 65-76 ◽  
Author(s):  
Rohini Mariappan ◽  
Nikita Hari

Complete unpredictability and the contagion effect of stock markets could pose significant challenges for the entire financial markets of the world. Moreover, it is an incontrovertible truth that the variations in stock market indices is an integral part of the dynamics of economic activity and can propel social moods and expectations. In fact, the stock market has predicted 10 out of the last 3 recessions.


2015 ◽  
Vol 12 (3) ◽  
pp. 185-189
Author(s):  
S. Ali Shah Syed ◽  
Hélène Syed Zwick

This study brings new evidence supporting the existence of the linkage between equity market and macroeconomic variables in the Euro area. Using the monthly data from January 1999 to September 2014 we show empirical relationship between stock returns and interest rate in the 19 countries using the euro. The results confirm that in Euro Area stock markets, the stockowners decisions are significantly influenced by the macroeconomic expectations, particularly the long run interest rate


GIS Business ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. 21-30
Author(s):  
Risha Khandelwal

The purpose of this paper is to investigate impact of macroeconomic variables on stock markets of India and Indonesia. This paper also attempts to identify linkages between markets and macroeconomic variables. The rationale behind selecting these countries for the present study is MSCI emerging markets index of Asia, which comprises emerging economies with huge return potential for prospective investors. This study will help investors and researchers to understand dynamics of linkages between markets and macroeconomic variables. Augmented Dickey-Fuller (ADF) unit root test is used to assess the stationary of time series, Johansen test co-integration is applied to examine long-term integration among variables, Granger causality test is used to examine the causality relationship between macroeconomic variables and stock returns. The monthly data are taken for the study which ranges from July 1997 to July 2017. Currency exchange rates, interest rates, money supply, and inflation are the macroeconomic variables for the current study. Results revealed that there is one co-integrating equation of long-run equilibrium between the variables for both countries. Granger causality test reveals that there exists unidirectional and bidirectional relationship between the variables.


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