scholarly journals Dynamic Relation Between Economic Growth, Stock Market Depth and Macroeconomic Variables of Bangladesh

2020 ◽  
Vol 13 (26) ◽  
pp. 45-63
Author(s):  
Mostafa ALI ◽  

This study explores the dynamic relation between economic growth and stock market depth in the presence of three more macroeconomic indicators such as exchange rate, inflation and interest rate of Bangladesh. We use Johansen and Juselius (1990) test of co-integration and Vector Error Correction Model (VECM) to detect the possible short-run and long-run causal relation among the selected economic forces. The results of the study evidence that the lagged error-correct term of GDP (i.e., the proxy of economic growth) is found statistically significant in all three models. This manifest that GDP tends to converge to its long-run equilibrium path in response to changes in its regressors. But we find a complex network of causal linkage between the variables in the short-run. The findings of this study are of particular interest and importance to policymakers, financial managers, financial analysts and investors dealing with the Bangladesh economy and the Bangladesh stock market.

2021 ◽  
pp. 003464462110256
Author(s):  
Dal Didia ◽  
Suleiman Tahir

Even though remittances constitute the second-largest source of foreign exchange for Nigeria, with a $24 billion inflow in 2018, its impact on economic growth remains unclear. This study, therefore, examined the short-run and long-run impact of remittances on the economic growth of Nigeria using the vector error correction model. Utilizing World Bank data covering 1990–2018, the empirical analysis revealed that remittances hurt economic growth in the short run while having no impact on economic growth in the long run. Our parameter estimates indicate that a 1% increase in remittances would result in a 0.9% decrease in the gross domestic product growth rate in the short run. One policy implication of this study is that Nigeria needs to devise policies and interventions that minimize the emigration of skilled professionals rather than depending on remittances that do not offset the losses to the economy due to brain drain.


2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.


2019 ◽  
Vol 64 (03) ◽  
pp. 461-493 ◽  
Author(s):  
RUDRA P. PRADHAN ◽  
MAK B. ARVIN ◽  
JOHN H. HALL

Many studies have investigated the causal relationship between economic growth and the depth in the stock market, between economic growth and trade openness, or between economic growth and foreign direct investment. Advancing on earlier work, this paper uses vector error-correction and cointegration techniques in order to establish whether there is a long-run equilibrium relationship between all four variables. We consider a sample of 25 ASEAN Regional Forum (ARF) countries which are studied over the period 1961–2012. Our analysis, which combines various strands of the literature, establishes the direction of causality between the variables. Policy recommendations include the encouragement of mutual fund investment by smaller investors to increase stock market depth as well as methods to increase foreign direct investment, such as tax holidays.


2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Noula Armand Gilbert ◽  
Chouafi Nguekam Orfé ◽  
Kamajou François

This study evaluates the simultaneous impact of public and private investments on economic growth in the CEMAC zone between 1984 and 2017.To attain this aim, we use the Vector Error Correction Model (VECM) to test the direction of causality between the three variables above at the level of each country. We find that the direction of causality is not the same in all the countries both in the short as in long-run. We then develop an ideal model going from the Cobb Douglas production function which we quantitatively validate using panel data estimation through the method of Pool Mean Group which takes into account individual specificities. It arises that contrary to economic theory, private sector investments have positive and significant effects in short-run. However, the impact of public investments is negative and significant. In the long-run, the effects are reversed and call on the authorities of the CEMAC zone to reinforce the political risk to strengthen the public-private partnership in the process of sustainable growth.


2018 ◽  
Vol 1 (2) ◽  
pp. p94
Author(s):  
Kando Serge Gbagbeu

In this study, we concern mainly about the short and long-run relationship between economic growth and financial development. We use a multi-steps methodology, namely the Autoregressive Distributed Lag (ARDL) approach and the Vector Error Correction Model (VECM) approach to test this relationship in Côte d’Ivoire from 1980 to 2014. Following our results, we conclude that there is a unidirectional causal relationship, both long run and short run, between GDP per capita and financial development index in Côte d’Ivoire running from economic growth to financial development.


2015 ◽  
Vol 4 (4) ◽  
pp. 327-333
Author(s):  
Nouman Badar ◽  
Munib Badar

This paper examines the long and short term relationship of financial sector development on economic growth of Pakistan where development of financial sector is detected by the variables truly depicts the efficiency of financial sector i.e. Money Supply, size of Advances, Private sector Credit growth and Bank’s equity with economic growth which is pronounced by Gross Domestic Product in this study. Data of almost 22 years ranges from 1992 to 2013 of overall banking industry is taken to obtain results by employing Johnson and Jusellious co integration technique to detect long run association while Granger Casualty test is used to determine cause and effect relationship and to measure short term dynamics Vector Error correction model is used. The result shows that both long and short run relationship exists between growth of financial sector and economy of Pakistan.


2012 ◽  
Vol 02 (12) ◽  
pp. 49-57
Author(s):  
TAIWO AKINLO

This study examined the causal relationship between insurance and economic growth in Nigeria over the period 1986-2010. The Vector Error Correction model (VECM) was adopted. The cointegration test shows that GDP, premium, inflation and interest rate are cointegrated when GDP is the edogeneous variable. The granger causality test reveals that there is no causality between economic growth and premium in short run while premum, inflation and interest rate Granger cause GDP in the long run which means there is unidirectional causality running from premium, inflation and interest rate to GDP. This means insurance contributes to economic growth in Nigeria as they provide the necessary long-term fund for investment and absolving risks.


Author(s):  
Ecenur Ugurlu Yildirim

Although the significance of the foreign investors constructing the significant magnitude of GDP increases for the emerging markets, their equity markets' attractiveness is affected by their vulnerability to geopolitical risk. The purpose of this study is to empirically investigate the effect of the stock market globalization on the correlation between economic growth and geopolitical risk in Brazil. After the dynamic correlation between economic growth and the geopolitical risk in Brazil is obtained by DCC-GARCH(1,1) methodology, the nonlinear autoregressive distributed lag (NARDL) model is employed to examine the asymmetric relationship among variables. The findings demonstrate while the changes in the globalization of the stock market decrease the connection between economic growth and geopolitical risk in the long-run, the positive changes in the participation of foreign investors make economic growth and geopolitical risk more connected the in short-run. Moreover, this impact is asymmetric. This chapter provides valuable implications for international investors and policymakers.


Author(s):  
Hanan Naser

This study examines the economic and environmental impact of large financial developments in Bahrain from year 2006 to 2016. To do so, the relationship between energy consumption, oil prices, market shares, dividend yields, and economic growth has been investigated using Vector Error Correction Model (VECM). The key findings are summarized as follow: (1) Long run relationship exists between the suggested variables. (2) Both energy and financial markets are significant in the long run relationship, and positively affect the economic growth of Bahrain. (3) According to the estimated ECM term, the model is stable in the short run. (4) Decline in oil price has negative significant drawback on the economic growth of Bahrain. Accordingly, it is recommended that policy makers in Bahrain focuses on implement strong strategies that aim at encouraging investments in non-oil sectors without impeding energy sector or economic growth in order to move towards sustainability.


2019 ◽  
Vol 5 (1) ◽  
pp. 45 ◽  
Author(s):  
Akomolafe Kehinde John

This paper examines the causality between electricity consumption and economic growth in Nigeria, with a focus on sectorial analysis. The sectors considered are manufacturing sector, agriculture sector, and the service sector. The study covers the periods from 1981 to 2014. The study was done in a vector error correction model (VECM). The results show that the causality run from  manufacturing sector to electricity consumption in long run, but a bidirectional causality in the short run, from electricity consumption to service sector output  in the long run, and  from electricity consumption to service sector output in long run. There is no short run causality between electricity consumption and service sector and agricultural sectors outputs. The paper concludes with the recommendation that government should be careful in implementing electricity conservation policy


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