scholarly journals Are Banks And Stock Markets Positively Related? Empirical Evidence From South Africa

Author(s):  
Nicholas M Odhiambo

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><a name="OLE_LINK2"></a><a name="OLE_LINK1"><span style="mso-bookmark: OLE_LINK2;"><span style="color: black; font-size: 10pt; mso-themecolor: text1;" lang="EN-GB"><span style="font-family: Times New Roman;">In this study, we examine the relationship between banks and stock market development in South Africa.<span style="mso-spacerun: yes;">&nbsp; </span>The study attempts to answer one critical question: Are banks and stock markets positively related in South Africa? The bank development is proxied by the ratio of the domestic credit to the private sector to GDP (DCP/GDP), while the stock market development is proxied by the ratio of the stock market capitalisation to GDP (CAP/GDP).Unlike the majority of the previous studies, the current study uses the newly introduced ARDL-Bounds testing approach, as proposed by Pesaran<span style="mso-spacerun: yes;">&nbsp; </span>et al. (2001), to examine this linkage. The empirical results show that there is a distinct positive relationship between banks and stock markets in South Africa. The results apply irrespective of whether the model is estimated in the short run or in the long run. <span style="mso-bidi-font-style: italic;">Other results show that in the short run, the stock market development in South Africa is positively determined by the level of savings, but negatively affected by the rate of inflation and the lagged values of the stock market development. However, in the long run, the stock market is positively determined by real income and the inflation rate. </span><span style="mso-spacerun: yes;">&nbsp;</span></span></span></span></a></p>

2018 ◽  
Vol 9 (3) ◽  
pp. 117
Author(s):  
Alaaeddin Al-Tarawneh ◽  
Ghazi Al-Assaf

This paper investigates the macroeconomic drivers of the stock market development in Jordan during the period 1978-2016. The macroeconomic variables are represented by remittance inflows, investment, banking sector development, and level of income. The paper employs the ARDL bounds testing procedure to estimate the potential short run and long run relationships between the stock market development indicator and macroeconomic variables. The empirical results show that the macroeconomic variables positively and significantly affect the development of stock market in Jordan, except remittances which has a negative effect on the stock market development indicator. All signs and magnitudes are consistent with the literature.


2020 ◽  
Vol 5 (3) ◽  
pp. 187-206
Author(s):  
Saganga Mussa Kapaya

Purpose The purpose of this paper is to contribute to empirical evidence by recognizing the importance of stock markets in the financial system and consequently its causality to economic growth and vice versa. Design/methodology/approach The study used the autoregressive distribute lag model (ARDL) with bound testing procedures, the sample covered quarterly time-series data from 2001q1 to 2019q2 in Tanzania. Findings The results suggest that stock market development have both negative and positive causality for both short-run dynamics and long-run relationship with economic growth. Economic growth is found to only cause and relate negatively to liquidity both in the short-run and in the long-run. The results show predominantly a unidirectional causality flow from stock market development to economic growth and finds partial causality flow from economic growth to stock market development, as represented by stock market turnover which proxied liquidity. Originality/value The use of quarterly data to reflect more realistically the dynamics of the variables because yearly data may sometimes cover-up specific dynamics that may be useful for prediction and policy planning. The study uses indices to capture general aspects within the stock market against economic growth as an intuitive way to aggregate the stock market development effects.


2020 ◽  
pp. 1-6
Author(s):  
Erasmus L Owusu ◽  

This paper examines the empirical linkage between stock market development and sustainable economic growth in Botswana. The paper employs AutoRegression Distributed lags (ARDL)-bounds testing approach and multi-dimensional stock market development proxies to examine this relationship. The paper finds that in the long run, stock market development has a minimal and negative impact on economic growth in Botswana. However, stock market development, especially, market capitalisation development has some short-term impact on economic growth. The paper, however, failed to any impact of stock value traded and the stock value turnover on economic growth. This finding supports the numerous past studies, which have reported negative or inconclusive results on the effects of stock market development on economic growth. The paper, therefore, concludes that there is the need for increasing financial deepening and the reform and diversification of the ownership structure of the capital markets by providing further public and institutional education on the value of stock markets for economic development


2017 ◽  
Vol 12 (1) ◽  
pp. 7-21 ◽  
Author(s):  
Sheilla Nyasha ◽  
Nicholas M. Odhiambo

AbstractThis paper examines the impact of both bank-based and market-based financial development on economic growth in Brazil during the period from 1980 to 2012. To incorporate all of the aspects of financial development into the regression analysis, the study employs a method of means-removed average to construct both bank-based and market-based financial development indices. Based on the ARDL approach, the empirical results show that there is a positive relationship between market-based financial development and economic growth in Brazil in the long run, but not in the short run. The results also show that bank-based financial development in Brazil does not have a positive effect on economic growth. This applies irrespective of whether the regression analysis is conducted in the short run, or in the long run. The study, therefore, concludes that it is the stock market, rather than banking sector development, that drives long-run economic growth in Brazil.


2012 ◽  
Vol 11 (7) ◽  
pp. 795 ◽  
Author(s):  
SY Ho ◽  
NM Odhiambo

This paper examines the relationship between stock market development and economic growth using time-series data from Hong Kong. The study uses three proxies of stock market development, namely: stock market capitalisation, stock market traded value, and stock market turnover. Given the weaknesses associated with the traditional co-integration techniques, the current study uses the recently introduced ARDL-bounds testing approach to examine the nexus between stock market development and economic growth in a dynamic setting. The empirical results show that the direction of causality between stock market development and economic growth depends on the proxy used to measure the level of stock market development. When stock market capitalisation is used as a proxy for stock market development, a distinct unidirectional causal flow from stock market development to economic growth is found to prevail, without any feedback. However, when stock market turnover is used, a causal flow from economic growth to stock market development is found to prevail in the short run and in the long run, while a causal flow from stock market development to economic growth is only found in the short run. The causality between stock market traded value and economic growth, however, failed to yield any long-run causal relationship from either direction. Only a short-run causality flow from economic growth to stock market traded value could be detected in this case.


2020 ◽  
Vol 17 (2) ◽  
Author(s):  
Duduzile Ngobe ◽  
◽  
Emenike Kalu ◽  

This paper investigates the relationship between foreign direct investment and stock market development in a small southern African economy. Specifically, the paper analyses long-run, short-run and causal relationships between foreign direct investment and stock market development in Eswatini for the 1990 to 2018 periods. Results of preliminary analyses of the variable show existence of positive skewness, fat-tailed, non-normal distribution, and I(1) order of integration for the foreign direct investment and stock market return series. Estimates from the ARDL model indicate evidence of a positive and statistically insignificant long-run relationship between foreign direct investment and stock market development in the kingdom of Eswatini. But in the short-run, there exist no relationship between foreign direct investment and stock market development in Eswatini. Estimates from Granger causality test do not show any evidence of causal relationship between foreign direct investment and stock market development in Eswatini. We recommend amongst others that capital market authorities should establish measures to increase the number of listings in the market so as boost investment options. In addition, there should be massive domestic investor-education on benefits of financing projects with a combination capital market funds, which has long-term tenor, and money market funds, which are of short-term nature.


Author(s):  
Baboo M Nowbutsing ◽  
M. P. Odit

Stock market is an indicator of an economy financial health. It indicates the mood of investors in a country. As such, stock market development is an important ingredient for growth. The stock exchange of Mauritius is fairly new compared to many countries. This paper examines the impact of stock market development on growth in Mauritius. A time series econometric investigation is conducted over the period 1989 -20067. We analyse both the short run and long run relationship by constructing an ECM. Two measures of stock market development namely size and liquidity are used. We define size as the share of market capitalization over GDP and liquidity as volume of share traded over GDP. We found that stock market development positively affect economic growth in Mauritius both in the short run and long run.


2015 ◽  
Vol 18 (4) ◽  
pp. 475-485 ◽  
Author(s):  
Mohanasundaram Thangamuthu ◽  
Karthikeyan Parthasarathy

The purpose of this study is to explore the nature of the association and the possible existence of a shortrun and long-run relationship between the stock-market indices of South Africa, India and the USA. The idea behind this combination is to know how the stock markets of these three prominent countries are related to each other. The study employs monthly data from the stock indices, namely JALSH (South Africa), NIFTY (India) and NASDAQ (USA) composite from April 2004 to March 2014. After testing for the normality of the data distribution and the stationarity of the time series data, this paper discovered a strong correlation between the stock market indices of South Africa, India and the USA. The correlation among the stock markets is high, particularly between South Africa and India. In addition, the paper attempts to discover the presence of any predictive ability among these markets by applying the Granger causality test. The result indicates that the NASDAQ index has no predictive ability as far as the JALSH and NIFTY indices are concerned. However, the JALSH index has a predictive ability on the NIFTY index. After testing the Granger cause relationship, the existence of a long-run and short-run relationship is tested. The long-run relationships among the stock market indices are analysed, following the Johansen and Juselius multivariate cointegration approach. The result suggests the absence of a long-run relationship among the three stock market indices. Short-run relationship is investigated with the Vector Autoregression (VAR) model, and the outcome obtained shows that both the USA and the South African stock markets are predicted only by their own past lags. However, the Indian stock market is seen to be a function of its own past lags and the past lags of the South African stock index. 


2016 ◽  
Vol 7 (3) ◽  
pp. 20-36 ◽  
Author(s):  
Rabson Magweva ◽  
Tafirei Mashamba

The relationship between stock market development and economic growth varies across nations and regions. This relationship is of significance to regulatory authorities, investors and portfolio managers in their operations aimed at enhancing the welfare of the citizens and clients at large. The purpose of this study is to examine the relationship between these two variables in Zimbabwe for the period 1989 to 2014. The paper employed the Vector Error Correction Model approach after establishing the order of integration (unit root tests) and cointegration between variables. All the variables were found to be stationary at 1% level after first differencing using the Phillips-Peron tests. The long run relationship was negative, whereas the short run coefficients were insignificant. Though contrary to financial theory, the results, to a large extent, testify to what happened during the period. Based on these findings, the Zimbabwe Stock Exchange and Securities and Exchanges Commission are urged to come up with alternative products to lure new listings from the small to medium enterprises. It is also recommended that all the stakeholders focus beyond the Zimbabwe Stock Exchange to promote economic growth as the firms seem to raise funds from other sources.


Author(s):  
Veronika Kajurová ◽  
Petr Rozmahel

The paper examines the causal relation between the stock markets development and economic growth in the EU countries. In particular, the nature and causality direction is investigated. Panel data techniques including cointegration tests, vector error correction models and Granger causality tests were applied to indicate the nature and direction of causality. Long‑run effects of the economic growth upon stock market development was detected in the sample of the Euro area member countries. In addition, the short‑run mutual relations between growth and stock markets were indicated in that country‑sample. In the non‑Euro area countries, only short‑run impact of the stock market development upon economic growth was found. The empirical findings bring up implications for macroeconomic stabilization and development policies. The indicated relations also play a role in predicting economic growth and stock markets’ development.


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