This paper explores the relationship between stock market development and economic growth in Africa. It provides a theoretical basis for establishing the channel through which stock market affect economic growth and this is empirically examined by using regression analysis to test if indeed there is such a relationship. Three stock market indicators, namely market capitalization as a percentage of GDP, turnover ratio and numbers of listed shares, are used to test whether they have any impact on economic growth, together with other explanatory variables of growth such as foreign direct investment, inflation and credit. The study uses data on four countries: Kenya, Nigeria, Egypt and South Africa for the period 1991-2010. Furthermore, the study investigated whether a collaborative regional cross-listing will improve the stock market development of the country of secondary listing. Dummy variables and interactive variables are used in regressions to test for collaborative relationships between the exchanges in the region. The results show that indeed there is an association between stock market development and economic growth. Results also show that cross-listing within a region can boost stock market development, which in turn boosts economic growth. Africa does not have a lot of cross-listings but from this paper, the evidence suggests that it is a path worth exploring.

This study examines the relationship between banks, stock market and economic development in Botswana using quarterly data from 1995 to 2016. To find out if there is a link between financial development and economic growth, the three measures of stock market development used are stock market capitalization, total value of shares traded and turnover. For bank-based financial development, the proxy is bank credit to private sector and the measure of economic growth is real gross domestic product (GDP) per capita. To analyse the long run and short run relationships among the variables of interest, this study implements the Autoregressive Distributed Lag (ARDL) cointegration technique and the Granger causality technique to find the direction of causality. The findings indicate that there is a positive short and long run relationship between stock market variables and economic growth when turnover and market capitalization are used as proxies and value traded is significant and negatively related to economic growth. The study found that bank credit to private sector is negatively related to economic growth both in the short and the long run. There is bidirectional causality between stock market financial development and economic growth and no causal relationship between banking financial development and economic growth in Botswana. This study recommends that there should be appropriate reforms to develop the financial sector in Botswana to help promote economic growth. Botswana should also have reforms to promote economic growth to foster stock market financial development. This study also offers a comprehensive and detailed overview of the state of the economy, banking system and the financial markets system of Botswana which can help foreign investors as well as individual and institutional investors in making sound investment decisions.

Thesis (MBA (Graduate School of Business))--University of Stellenbosch, 2010. / ENGLISH ABSTRACT: This present study investigates the directional link between stock market development and economic growth in Zambia for the period 2002-2009, using quarterly data. While there is numerous empirical research conducted on this topic, none of it constitutes an in-depth study of the causal relationship of stock market development and economic growth in Zambia. The investigation of the causal relationship is conducted by using two methods: the recent and better Toda and Yamamoto Causality Test, and the older and popular Granger causality test. As highlighted by recent studies, the results of the Toda and Yamamoto Causality Test approach are more reliable than those of the Granger Causality Test approach, and are therefore preferred for this study. The Granger Causality Test is employed in the study for comparison purposes with the new Toda and Yamamoto approach, as well as comparison with the only study done on Zambia on the topic. Results of the Toda and Yamamoto approach support the demand following hypothesis that economic growth causes stock market development. The Granger Causality Test results lend support to the Independent view that stock market development and economic growth are independent of each other. The Granger Causality Test results support the prior study done on Zambia using the same technique but based on panel data instead of time series data as is the case for the present study. However, as the Granger Causality Test approach inherently has a number of problems, its results are unreliable. Based on the result of the Toda Yamamoto approach, the study argues that the Zambian stock exchange could help promote further economic growth in the country and should therefore be integrated in the whole economic system. / AFRIKAANSE OPSOMMING: Hierdie studie ondersoek die ooreenkoms tussen aandeelmarkontwikkeling en ekonomiese groei in Zambia vir die periode 2002-2009 met die gebruik van kwartaallikse data. Die ondersoek om die verhouding te bepaal word deur twee metodes gedoen naamlik die onlangse en beter “Toda and Yamamoto” toets en die ouer en populêre “Granger” toets. Soos onlangs uitgewys is die uitslae van die “Toda and Yamamoto” toets meer akkuraat as die “Granger” toets en word derhalwe verkies vir hierdie studie. Die Granger toets word gebruik vir vergelykings met die “Toda and Yamamoto” benadering asook vergelyking met die enigste studie wat in Zambië gedoen is op hierdie vakgebied. Resultate van die Toda benadering ondersteun die stelling dat ekonomiese groei veroorsaak aandelemarkontwikkeling terwyl die Granger toets die siening dat markontwikkeling en ekonomiese groei onafhanklik van mekaar is ondersteun. Die Granger toets ondersteun die vorige studie op Zambië wat dieselfde metodiek gebruik het maar wat gebaseer is op “panel data” in plaas van tyd series data soos in die huidige studie. Die Granger studie het 'n aantal inherente probleme en die resultate is daarom onbetroubaar. Gebaseer op die Toda benadering word in die studie geargumenteer dat die Zambiese beurs verdere ekonomiese groei kan bevorder en behoort derhalwe geïntegreerd te word in die hele ekonomiese stelsel.

Cette thèse examine (i) l'impact du secteur bancaire et des marchés financiers sur la croissance économique, (ii) l'effet de la qualité institutionnelle sur la détermination du développement financier, (iii) Comment la qualité des institutions affecté la relation entre le développement financier et la croissance économique. A cette fin, nous construisons un indice de qualité institutionnel pour les pays de la région MENA. Appliquant la méthode d'estimation des moindres carrés généralisés (MCG) pour un échantillon de 18 pays de la région MENA pour la période de 1984-2007 nous constatons que ni le secteur bancaire ni les marchés financiers ne contribuent à la croissance économique et qu'ils l'affectent même négativement. Adoptant l'approche d'estimation sur données de panel et celle des variables instrumentales (IV) nos résultats montrent l'importance de l'environnement institutionnel dans la détermination du développement financier de la région MENA. En outre, nos résultats montrent que la qualité des institutions a un important effet dans la relation entre développement financier et croissance économique. Plus précisément, elle permet d'atténuer l'effet négatif du développement financier sur la croissance économique. Par conséquent, nos résultats fournissent une évidence empirique, que pour que le développement financier puisse contribuer à la croissance économique, les pays de la région MENA doivent avoir un certain niveau de développement institutionnel. Examinant l'effet non-linéaire de la qualité des institutions sur la relation entre développement financier et croissance économique nos résultats montrent que la relation entre développement du secteur bancaire et croissance économique présente la forme du "U-inversé", par contre cette forme n'est pas observée lorsque les marchés financiers sont considérés. / This thesis examines (i) the impact of banks and stock markets on economic growth (ii) the effect of institutional quality in determining financial development and (iii) how institutional quality affects the finance-growth nexus in the MENA region. To this end, we construct a yearly institutional index for MENA countries. Applying the generalized method- of-moments (GMM) estimators developed for dynamic panel data for a sample of 18 MENA countries over 1984-2007 period, we find that both bank and stock market development are unimportant or even harmful for economic growth. Considering both a panel data and the instrumental variable (IV) approaches of estimation, our results outline the importance of institutional quality in determining financial development in MENA region. Moreover, our results show that institutional quality affects the finance growth nexus in MENA countries. In fact, it mitigates the negative effect of financial development on economic growth. Therefore, our results provide empirical evidence that in order for financial development to contribute to economic growth, MENA countries must possess certain level of institutional quality. Examining the non-linear effect of institutional quality on the finance-growth nexus, our results show that banking sector development and growth exhibit an inverted-U shaped relationship. However, we do not find the same pattern in the stock market-growth relationship

This study examined the relationship between a set of macroeconomic variables and stock market development in Hong Kong and the Philippines for the periods of 1992Q4-2016Q3 and 2001Q4-2016Q4 respectively. In recent decades, the stock markets in Hong Kong and the Philippines have experienced remarkable growth. While the literature has produced diverse views on the relationship between each determinant and the stock market, there are no relevant studies on the determinants of stock market development on these two countries. Against this background, this study enriched the literature by investigating the macroeconomic determinants of stock market development in these two countries using the autoregressive distributed lag bounds testing approach. The empirical results of this study revealed a number of interesting findings. In the case of Hong Kong, the results showed that banking sector development and economic growth exerted positive impacts, whereas the inflation rate and exchange rate exerted negative impacts on stock market development both in the long and short run. In addition, the results showed that trade openness had a positive long-run impact, but a negative short-run impact on stock market development. Therefore, policymakers should pursue policies that foster banking sector development, enhance economic growth and maintain trade openness in order to foster the development of the stock market. In addition, monetary authority should strive to maintain a low level of inflation rate and the value of the domestic currency so as to further promote stock market development. In the case of the Philippines, the study found that trade openness had a negative impact on the development of the stock market in the long run, whereas banking sector development, and the exchange rate had positive impacts in the short run. Based on these findings, policymakers should consider policies that promote the use of equity financing in the production of main exports, enhance banking sector development, and maintain the stability of the domestic currency in order to promote the development of the stock market. / Economics / D. Phil. (Economics)

The main objective of this study is to examine the long run relationship between stock market development and economic growth in the case of South Africa. The study used quarterly data covering the period from 1990Q1 to 2010Q4. To empirically test the link between the two variables, the study used the Johnson’s cointegration approach and Granger causality so as to test the direction of the relationship. The Vector Error Correction Model was also employed to capture both short run and long run dynamics. Generally, the results reveal that a long run relationship exists between the two variables and the causality flows from economic growth to stock market development. Also, the extent to which of stock market development impacts on growth is statistically weak.

一、金融發展對經濟成長的影響：動態門檻效果的分析 本研究旨在探討於全球的架構下，各國金融發展對於經濟成長之關係為何？並且進一步探討銀行發展及股市發展是否對經濟成長有不對稱效果。對於過去相關文獻無法獲得金融發展與經濟成長間一致的關係，我們懷疑應與金融發展與經濟成長之間為非線性關係有關。延伸 Shen and Lee (2006) 我們將探討是否於金融發展與經濟成長間存在著銀行的門檻效果，並提出兩個假說，第一是「blessing-in-low-regime」，即在低度銀行發展區域，金融發展對於經濟成長有正面影響。第二是「curse-in-high-regime」即在高度銀行發展區域，金融發展對於經濟成長有負面影響。本文發展一個新的模型：dynamic panel threshold model (DPTM)是延伸Hansen (1999)的panel threshold model，認為經濟成長會受到自己上一期變數所影響，結果指出就銀行發展對於經濟成長的影響而言，在低度銀行發展區域支持「blessing-in-low-regime」；在高度銀行發展區域支持「curse-in-high-regime」。反之，就股市發展對於經濟成長的影響，在低度銀行發展區域並不支持「blessing-in-low-regime」;在高度銀行發展區域亦不支持「curse-in-high-regime」。 二、金融發展與經濟成長的雙向因果關係 本研究探討是否金融發展與經濟成長之間存在一項非線性的雙向因果關係，且此項因果關係是否受到金融發展以及經濟成長程度的影響。在全球的架構下，利用42個國家1976年到2005年的資料，使用一項新發展的計量模型：dynamic panel threshold model (DPTM)來探討此項因果關係。實證結果顯示，當使用銀行發展做為門檻變數時，在低度銀行發展區域，銀行發展對於經濟成長有正面影響，然而股市發展則對經濟成長有負面影響；而在高度銀行發展區域，銀行發展對於經濟成長的影響性則轉向負面影響，而股市發展則轉向正向支持經濟成長。相對地，無論在低度銀行發展區域或是高度銀行發展區域，經濟成長對於銀行發展皆有正面影響。最後，當使用經濟成長做為門檻變數時，本文發現金融發展與經濟成長的因果關係並未改變。 三、金融發展如何影響所得分配？倒U型分配假說與線性假說 本研究使用1976年到2005年42個發展中與已發展國家的資料，分析金融發展與所得分配的關係，並且進一步探討金融發展是否對所得分配有不對稱效果，隨著銀行發展程度的不同，其對所得分配的影響性將隨之改變。過去金融發展與所得分配的相關文獻提出兩項相對的理論假說，分別為Greenwood and Jovanovic (1990)的「倒U型分配假說」與Galor and Zeira (1993)的「線性假說」。本研究發展一項計量模型dynamic panel threshold model (DPTM)來檢驗這兩項假說。分析結果顯示，在低度銀行發展區域，股市發展將提升所得不均；而在高度銀行發展區域，股市發展則轉為減緩所得不均，支持「倒U型分配假說」。相對地，無論在低度銀行發展區域或是高度銀行發展區域，銀行發展對所得不均的影響性皆為負向的減緩效果，不支持「倒U型分配假說」，然而其對所得分配的影響性仍存在不對稱的門檻效果。 / Essay 1: Blessing or Curse? The Role of Financial Development to Economic Growth This study aims to investigate the asymmetric effect between financial development and economic growth by considering the threshold effect. Based on Shen and Lee's (2006) findings, we examine whether the effect of financial development on economic growth depends on the threshold variable of bank development. Our hypothesis is that bank development is a blessing to economic growth at the low bank development regime, but it is a curse at the high bank development regime. To examine the “blessing-in low-regime” and “curse-in high-regime” hypothesis, we develop a dynamic panel threshold model (DPTM) to test this hypothesis. The DPTM is a direct extension of the non-dynamic panel threshold model of Hansen (1999). We conclude that the effect of bank development on economic growth supports the hypothesis. Nevertheless, the effect of stock market development on economic growth does not support the hypothesis. Essay 2: A Bivariate Causality between Financial Development and Economic Growth This study hypothesizes that causal relationship between financial development and economic growth is not linear; however, it may be influenced by the level of financial development or economic growth. A new econometric method, dynamic panel threshold model (DPTM) is proposed to investigate conditional causality. Herein, the thresholds of “bank development” and “economic growth” are applied. When bank development is used as threshold in the low bank-developed regime, bank development is beneficial for economic growth. However, it poses adverse effects on the stock market. In contrast, in the high bank-developed regime, bank development exhibits an adverse effect on economic growth whereas the stock market manifests the opposite effect. Nevertheless, economic growth is beneficial for bank development in both regimes, though the influence is stronger in the low bank-developed regime. Results are robust when the income level of a country is utilized as a threshold. Essay 3: How does Financial Development Affect the Distribution of Income? Inverted U-shaped Hypothesis or Linear Hypothesis This study analyzes the relationship between financial development and income distribution using panel data from both developing and developed countries between 1976 and 2005. Specifically, we analyze whether financial development has an impact on income inequality and whether this impact depends on the threshold variable of bank development. We define the low and high bank development regimes when a country's bank development is below and above the threshold and test two alternative hypotheses the “inverted U-shaped hypothesis” and the “linear hypothesis” with a dynamic panel threshold model (DPTM). The DPTM is a direct extension of the non-dynamic panel threshold model of Hansen (1999). We find little evidence to support the inverted U-shaped relationship between inequality and finance, the effect of stock market development on inequality supports the inverted U-shaped hypothesis. Nevertheless, the effect of bank development on inequality does not support the inverted U-shaped hypothesis. However, the relationship between financial development and income distribution is nonlinear.

Using 1980 - 2012 annual data, the study empirically investigates the dynamic relationship between financial development and economic growth in three developing countries (South Africa, Brazil and Kenya) and three developed countries (United States of America, United Kingdom and Australia). The study was motivated by the current debate regarding the role of financial development in the economic growth process, and their causal relationship. The debate centres on whether financial development impacts positively or negatively on economic growth and whether it Granger-causes economic growth or vice versa. To this end, two models have been used. In Model 1 the impact of bank- and market-based financial development on economic growth is examined, while in Model 2 it is the causality between the two that is explored. Using the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and error-correction based causality test, the results were found to differ from country to country and over time. These results were also found to be sensitive to the financial development proxy used. Based on Model 1, the study found that the impact of bank-based financial development on economic growth is positive in South Africa and the USA, but negative in the U.K – and neither positive nor negative in Kenya. Elsewhere the results were inconclusive. Market-based financial development was found to impact positively in Kenya, USA and the UK but not in the remaining countries. Based on Model 2, the study found that bank-based financial development Granger-causes economic growth in the UK, while in Brazil they Granger-cause each other. However, in South Africa, Kenya and USA no causal relationship was found. In Australia the results were inconclusive. The study also found that in the short run, market-based financial development Granger-causes economic growth in the USA but that in South Africa and Brazil, the reverse applies. On the other hand bidirectional causality was found to prevail in Kenya in the same period. / Economics / DCOM (Economics)

The study examines the dynamic relationship between financial development and investment in three Southern African countries (Botswana, South Africa and Mauritius) during the period 1976 – 2014 using annual data. The motivation for selecting these countries is mainly based on their different characteristics in their economic and financial structure. Employing the Autoregressive Distributed Lag (ARDL) bounds test approach, the study examines the role of financial development in boosting investment; and the causal relationship between financial development and investment. The study makes use of composite financial development indices and divides financial development into bank-based and market-based financial development. In addition, both the impact of bank- and market-based financial development on investment, on the one hand; and the causality between bank- and market-based financial development and investment, on the other, were examined within the flexible accelerator model/framework. For both models, both bank-based and market-based financial development are assumed as having an accelerator-enhancing effect on investment. Empirical results show that, for Botswana, the impact of bank-based financial development on investment is positive in both the short run and the long run while no impact of market-based financial development is found for both periods. For South Africa, the effect of bank-based financial development on investment is found to be negative in the short run and has no impact in the long run. However, market-based financial development has only a positive effect on investment in the long run. For Mauritius, market-based financial development is the only type of financial development found to have a significant positive effect on investment, and only, in the short run. The results of the causality test show that: for Mauritius, both bank-based and market-based financial development tend to drive investment, both in the short run and in the long run; while- in South Africa, investment drives both bank-based and market-based financial development only in the short run. In Botswana, bank-based and market-based financial development and investment drive each other in the short run while investment tends to only drive bank-based financial development in the long run. Therefore, all three countries show differing results and tend to confirm that there are inter-country differences that determine the relationship between investment and financial development. The inter-country differences maybe as a result of the different stages of financial and economic development for each country. / Economics / D. Phil. (Economics)

Using 1980 - 2012 annual data, the study empirically investigates the dynamic relationship between financial development and economic growth in three developing countries (South Africa, Brazil and Kenya) and three developed countries (United States of America, United Kingdom and Australia). The study was motivated by the current debate regarding the role of financial development in the economic growth process, and their causal relationship. The debate centres on whether financial development impacts positively or negatively on economic growth and whether it Granger-causes economic growth or vice versa. To this end, two models have been used. In Model 1 the impact of bank- and market-based financial development on economic growth is examined, while in Model 2 it is the causality between the two that is explored. Using the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and error-correction based causality test, the results were found to differ from country to country and over time. These results were also found to be sensitive to the financial development proxy used. Based on Model 1, the study found that the impact of bank-based financial development on economic growth is positive in South Africa and the USA, but negative in the U.K – and neither positive nor negative in Kenya. Elsewhere the results were inconclusive. Market-based financial development was found to impact positively in Kenya, USA and the UK but not in the remaining countries. Based on Model 2, the study found that bank-based financial development Granger-causes economic growth in the UK, while in Brazil they Granger-cause each other. However, in South Africa, Kenya and USA no causal relationship was found. In Australia the results were inconclusive. The study also found that in the short run, market-based financial development Granger-causes economic growth in the USA but that in South Africa and Brazil, the reverse applies. On the other hand bidirectional causality was found to prevail in Kenya in the same period. / Economics / D. Com. (Economics)