THE IMPACT OF STOCK MARKET DEVELOPMENT AND ECONOMIC GROWTH: THE CASE OF SUB SAHARAN AFRICA

2016 ◽  
Vol 16 (3) ◽  
pp. 21-32
Author(s):  
Bhavish Jugurnath ◽  
M. Ruhomaun
Author(s):  
Daniel Kwabena Twerefou ◽  
Emmanuel Abbey ◽  
Emmanuel A. Codjoe ◽  
Peter Saitoti Ngotho

This paper examines the impact of stock market development on economic growth in Sub‑Saharan Africa using a balanced panel data of five selected countries over the period 1993 – 2013 and the system generalised method of moments dynamic panel estimation framework. The paper finds a positive impact of stock market development proxied by the turnover ratio of domestic shares and market capitalization on economic growth though minimal. Furthermore, investment, lagged gross domestic product and human capital were found to have a significantly positive impact on growth while trade and foreign direct investment negatively impacted on growth, even though the results for foreign direct investment is not significant in all the models and consequently, not very robust. There should be policy measures aimed at enhancing economic growth using the development of the stocks market as a channel. Such policies should focus on developing the appropriate mix of taxation of investors as well as the development of requisite technology, institutional and regulatory framework that will facilitate an increase in the size and liquidity of the market in the sub‑region.


2021 ◽  
Vol 18 (3) ◽  
pp. 74-81
Author(s):  
Toan Ngoc Bui ◽  
Thu-Trang Thi Doan

This study investigated the impact of stock market development (SMD) on economic growth (EG) among emerging markets and developing economies (EMDEs) in Asia. The data sample includes eight Asian EMDEs (China, Indonesia, India, Sri Lanka, Malaysia, the Philippines, Thailand, and Vietnam) from 2008 to 2019. These countries share several similarities, so this ensures reliability of the results. Regarding the analysis, the generalized method of moments (GMM) is used for the estimation. The results show that SMD exerts a positive impact on EG. This finding confirms the importance of SMD in improving efficient capital accumulation and allocation, and also allows investors to reduce risks and increase liquidity, which will boost EG. Further, the significant influence of domestic credit (DC), control of corruption (CC), and inflation (INF) on EG is also highlighted. These findings are valuable empirical evidence that greatly contributes to reinforcing the suitability of classical economic growth theories, especially the theory of endogenous growth. They are also essential to EMDEs in Asia. Accordingly, the EMDEs should develop effective policies to improve the stock market’s scale, which contributes substantially to the development of EG. Moreover, these economies need to pursue many appropriate policies in sync, such as stimulating SMD, improving governance effectiveness and implementing effective macroeconomic policies. Acknowledgment This study was funded by the Industrial University of Ho Chi Minh City (IUH), Vietnam (grant number: 21/1TCNH01).


2019 ◽  
Vol 11 (12) ◽  
pp. 149
Author(s):  
Ishmael Radikoko ◽  
Shadreck A. Mutobo ◽  
Mphoeng Mphoeng

This study examines the impacts of the stock market development on economic growth using Botswana as a case study. The study uses times series data covering a decade from 2006 to 2016. The method of analysis used is the Auto regressive distributed lag (ARDL) bounds model. The stock market capitalization ratio (MCR) was used as a proxy for market size while value of shares traded ratio (ST) and Turnover ratio (TR) were used as a proxy for liquidity, collectively representing stock market development. Real gross domestic product (GDP) growth rate was used to represent economic growth .The results show that market capitalization and turnover ratio have a negative correlation with economic growth, while the value of shares traded has a strong positive correlation with economic growth. This result implies that liquidity has propensity to stimulate economic growth in Botswana. The results of this study also found that there exists no causality relationship between stock market development and economic growth. The government should make policies that boost the interest of domestic investors in Botswana as this might spur investors’ interest and boost stock market activity which will improve liquidity and therefore stimulate economic growth.


2015 ◽  
Vol 14 (4) ◽  
pp. 363-381 ◽  
Author(s):  
Pramod Kumar Naik ◽  
Puja Padhi

Purpose – The purpose of this study is to empirically examine the impact of stock market development on the economic growth for a panel of 27 emerging economies using annual data over the period from 1995 to 2012. Design/methodology/approach – A second-generation panel unit root test developed by Pesaran (2007) has been used to test the stationary properties of the data series. To achieve the study objectives and to mitigate the endogeneity problem that exists in the given model, the authors use a dynamic panel “system GMM” estimator. The authors also use a heterogeneous panel causality test proposed by Dumitrescu and Hurlin (2012) to examine the direction of causality among the variables. Findings – The empirical findings indicate that stock market development significantly contributes to economic growth. Further, a unidirectional causality running from stock market development to economic growth has been found. This finding is consistent with the supply-leading hypothesis. Besides stock market development, it is also evident that macroeconomic variables, such as investment ratio, trade openness and exchange rates, have significant impact on economic growth. Research limitations/implications – The findings suggest that a well-functioning stock market, a more globalized economy and increasing aggregate investment can potentially foster the economic growth in those emerging economies. Originality/value – Unlike other studies, this study constructs three alternate composite indices along with the individual indicators of stock market development and applies robust panel econometric techniques to establish more reliable results.


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