Financial liberalization, financial development and economic growth: the case for South Africa
- Authors: Savanhu, Tatenda
- Date: 2012
- Subjects: Economic development -- Case studies -- South Africa Principal components analysis Econometric models Vector analysis Finance -- Management -- South Africa Economic policy -- South Africa Banks and banking -- South Africa Investments -- South Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:1048 , http://hdl.handle.net/10962/d1006197
- Description: Financial liberalization in South Africa was a process that took the form of various legal reforms very a long period of time. This study uses quarterly financial data from 1969 quarter one to 2009 quarter four to analyse this process. The data used was pertinent to the financial liberalization theorem by McKinnon (1973) and Shaw (1973). The examination of the relationships between the various macro economic variables has important implications for effective policy formulation. The empirical analysis is carried out in four phases: the preliminary analysis, the principal component analysis (PCA), the cointegration analysis and pair wise Granger causality tests. The preliminary analysis examines trends over the sample period and reports the on the correlation between the selected variables. The PCA analysis was used to create indexes for financial liberalization, taking into account the phase wise nature of legal reforms. The generated index was representative of the process of financial liberalization from 1969 to 2009. A financial development index was also created using the various traditional measures of financial development and through PCA which investigated interrelationships among the variables according to their common sources of movement. Cointegration analysis is carried out using the Johansen cointegration procedure which investigates whether there is long-run comovement between South African economic growth and the selected macroeconomic variables. Where cointegration is found, Vector Error-Correction Models (VECMs) are estimated in order to examine the short-run adjustments. For robustness, many control variables were added into the model. The results showed that there are positive long run relationships between economic growth and financial liberalization, financial development and a negative relationship with interest rates. The Granger results suggested that the MS hypothesis does not manifest accurately in the South African data. The implications of the results were that financial liberalization has had positive effects on economic growth and thus any impediments to full financial liberalization must be removed albeit with considerations towards employment and local productivity. Financial development also possessed positive long run relationships with economic growth, although results differed based on the financial development proxy used. Thus, financial development must be improved primarily through liberalizing the banking sector and spurring savings.
- Full Text:
- Date Issued: 2012
- Authors: Savanhu, Tatenda
- Date: 2012
- Subjects: Economic development -- Case studies -- South Africa Principal components analysis Econometric models Vector analysis Finance -- Management -- South Africa Economic policy -- South Africa Banks and banking -- South Africa Investments -- South Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:1048 , http://hdl.handle.net/10962/d1006197
- Description: Financial liberalization in South Africa was a process that took the form of various legal reforms very a long period of time. This study uses quarterly financial data from 1969 quarter one to 2009 quarter four to analyse this process. The data used was pertinent to the financial liberalization theorem by McKinnon (1973) and Shaw (1973). The examination of the relationships between the various macro economic variables has important implications for effective policy formulation. The empirical analysis is carried out in four phases: the preliminary analysis, the principal component analysis (PCA), the cointegration analysis and pair wise Granger causality tests. The preliminary analysis examines trends over the sample period and reports the on the correlation between the selected variables. The PCA analysis was used to create indexes for financial liberalization, taking into account the phase wise nature of legal reforms. The generated index was representative of the process of financial liberalization from 1969 to 2009. A financial development index was also created using the various traditional measures of financial development and through PCA which investigated interrelationships among the variables according to their common sources of movement. Cointegration analysis is carried out using the Johansen cointegration procedure which investigates whether there is long-run comovement between South African economic growth and the selected macroeconomic variables. Where cointegration is found, Vector Error-Correction Models (VECMs) are estimated in order to examine the short-run adjustments. For robustness, many control variables were added into the model. The results showed that there are positive long run relationships between economic growth and financial liberalization, financial development and a negative relationship with interest rates. The Granger results suggested that the MS hypothesis does not manifest accurately in the South African data. The implications of the results were that financial liberalization has had positive effects on economic growth and thus any impediments to full financial liberalization must be removed albeit with considerations towards employment and local productivity. Financial development also possessed positive long run relationships with economic growth, although results differed based on the financial development proxy used. Thus, financial development must be improved primarily through liberalizing the banking sector and spurring savings.
- Full Text:
- Date Issued: 2012
An analysis of the influence of domestic macroeconomic variables on the performance of the South African stock market sectoral indices
- Authors: Hancocks, Ryan Lee
- Date: 2011
- Subjects: Johannesburg Stock Exchange , Stock price indexes -- South Africa , Interest rates -- South Africa , Macroeconomics -- Econometric models
- Language: English
- Type: text , Thesis , Masters , MCom
- Identifier: vital:954
- Description: An econometric study was undertaken to determine the extent to which selected macroeconomic variables influenced stock market prices on the All-Share, Financial, Mining and Retail Indices of the Johannesburg Stock Exchange in South Africa from 1996:7 to 2008:12. The Johansen cointegration method was used to determine whether cointegrating relationships existed between the macroeconomic variables and the stock market indices. A Vector Error Correction model was estimated and found significant results that money supply, inflation, long and short- run interest rates, and the exchange rate all had an influence on stock market prices. Further, the VECM results for each sector indicated that certain macroeconomic variables had differing influences on each sector of the stock market. Impulse Response tests indicated that the selected macroeconomic variables caused shock to the sectoral indices in the short-run but that the effect was lagged. The Variance Decomposition tests conducted supported earlier evidence that the macroeconomic variables had a strong level of sectoral index determinacy in the long run. The results found that the All-Share and Financial Indices were negatively influenced by inflation and short term interest rates in the long run, while the Financial Index also had a negative relationship with long-run interest rates. Money supply was found to have a positive effect on all the indices. A weakening of the exchange rate was found to have a positive influence on both the Retail and Mining Indices, while it negatively affected the All-Share and Financial Indices. The long-run interest rate had a positive influence on both the Retail and Mining Indices. Overall the study finds that macroeconomic variables are important determinants of stock market prices in South Africa and that it is important to examine each sector of the stock market separately to capture what are different effects. The limitations of the study are that a different measure for exchange rates from the nominal rand/dollar exchange rate used here may yield more decisive results and provide insight into the link between exchange rate behaviour and performance of especially the retail sector.
- Full Text:
- Date Issued: 2011
- Authors: Hancocks, Ryan Lee
- Date: 2011
- Subjects: Johannesburg Stock Exchange , Stock price indexes -- South Africa , Interest rates -- South Africa , Macroeconomics -- Econometric models
- Language: English
- Type: text , Thesis , Masters , MCom
- Identifier: vital:954
- Description: An econometric study was undertaken to determine the extent to which selected macroeconomic variables influenced stock market prices on the All-Share, Financial, Mining and Retail Indices of the Johannesburg Stock Exchange in South Africa from 1996:7 to 2008:12. The Johansen cointegration method was used to determine whether cointegrating relationships existed between the macroeconomic variables and the stock market indices. A Vector Error Correction model was estimated and found significant results that money supply, inflation, long and short- run interest rates, and the exchange rate all had an influence on stock market prices. Further, the VECM results for each sector indicated that certain macroeconomic variables had differing influences on each sector of the stock market. Impulse Response tests indicated that the selected macroeconomic variables caused shock to the sectoral indices in the short-run but that the effect was lagged. The Variance Decomposition tests conducted supported earlier evidence that the macroeconomic variables had a strong level of sectoral index determinacy in the long run. The results found that the All-Share and Financial Indices were negatively influenced by inflation and short term interest rates in the long run, while the Financial Index also had a negative relationship with long-run interest rates. Money supply was found to have a positive effect on all the indices. A weakening of the exchange rate was found to have a positive influence on both the Retail and Mining Indices, while it negatively affected the All-Share and Financial Indices. The long-run interest rate had a positive influence on both the Retail and Mining Indices. Overall the study finds that macroeconomic variables are important determinants of stock market prices in South Africa and that it is important to examine each sector of the stock market separately to capture what are different effects. The limitations of the study are that a different measure for exchange rates from the nominal rand/dollar exchange rate used here may yield more decisive results and provide insight into the link between exchange rate behaviour and performance of especially the retail sector.
- Full Text:
- Date Issued: 2011
How integrated are the African stock exchanges?: evidence from long term comovement, returns and volatility spillovers
- Kambadza, Tinashe Harry Dumile
- Authors: Kambadza, Tinashe Harry Dumile
- Date: 2011
- Subjects: Stock exchanges -- Africa Money market -- Africa Globalization -- Economic aspects -- Africa International economic relations
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:1017 , http://hdl.handle.net/10962/d1002752
- Description: Stock market linkages have implications for portfolio diversification, asset pricing, monetary and regulatory policy as well as financial stability. This study examines the extent to which African stock markets are linked using daily data for the period 2000-2010. The study is divided into three main parts each focussing on the ways in which integration of the stock markets can be viewed. Firstly, we analyse the long run co-movement of the stock markets using both bivariate and multivariate Johansen (1988) and Johansen and Juselius (1990) cointegration approaches. Secondly, we analyse returns linkages using Factor analysis and the Vector Autoregressive (VAR) models. In the Factor Analysis model, we used two extraction methods, namely Principal Component Analysis and the Maximurn Likelihood technique. The VAR model was extended with impulse response, variance decomposition and block exogeniety. Thirdly, we analyse the behaviour of volatility and the volatility linkages among the stock markets. We initially analysed and modelled volatility in each stock market using the GARCH, EGARCH and GJR GARCH and then examined the long-term trend of the volatility. Conditional volatility series for each country were then estimated using the most appropriate model and were analysed using VAR, block exogeniety, impulse response and variance decomposition to determine the extent of their linkages. The findings of the study are as follows: Both the bivariate and multivariate models found slim evidence of cointegration amongst the stock markets, suggesting that there were opportunities for portfolio diversification for investors. In general, the financial crisis had very little impact on the long-run relationships of the stock markets. Results for the returns linkages showed that there were limited retums linkages with the exceptions of South African-Namibia and Egypt-Morocco to a lesser extent. South Africa was found to be the most endogenous, whilst Ghana and Nigeria were the most exogenous on the continent. We regards to volatility, we found that it was asymmetric and persistent across all the stock markets with long term trend of volatility showing that it significantly increased for most of the markets. Finally, there were limited volatility linkages, only between South Africa, Egypt and Namibia, implying that African stock markets are still largely segmented from each other. However, the linkages between South Africa and Egypt could have negative effects as they could lead to the spread of contagion effects during times of crises. Therefore, policymakers should consider revising and improving policies to enhance economic integration on the continent.
- Full Text:
- Date Issued: 2011
- Authors: Kambadza, Tinashe Harry Dumile
- Date: 2011
- Subjects: Stock exchanges -- Africa Money market -- Africa Globalization -- Economic aspects -- Africa International economic relations
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:1017 , http://hdl.handle.net/10962/d1002752
- Description: Stock market linkages have implications for portfolio diversification, asset pricing, monetary and regulatory policy as well as financial stability. This study examines the extent to which African stock markets are linked using daily data for the period 2000-2010. The study is divided into three main parts each focussing on the ways in which integration of the stock markets can be viewed. Firstly, we analyse the long run co-movement of the stock markets using both bivariate and multivariate Johansen (1988) and Johansen and Juselius (1990) cointegration approaches. Secondly, we analyse returns linkages using Factor analysis and the Vector Autoregressive (VAR) models. In the Factor Analysis model, we used two extraction methods, namely Principal Component Analysis and the Maximurn Likelihood technique. The VAR model was extended with impulse response, variance decomposition and block exogeniety. Thirdly, we analyse the behaviour of volatility and the volatility linkages among the stock markets. We initially analysed and modelled volatility in each stock market using the GARCH, EGARCH and GJR GARCH and then examined the long-term trend of the volatility. Conditional volatility series for each country were then estimated using the most appropriate model and were analysed using VAR, block exogeniety, impulse response and variance decomposition to determine the extent of their linkages. The findings of the study are as follows: Both the bivariate and multivariate models found slim evidence of cointegration amongst the stock markets, suggesting that there were opportunities for portfolio diversification for investors. In general, the financial crisis had very little impact on the long-run relationships of the stock markets. Results for the returns linkages showed that there were limited retums linkages with the exceptions of South African-Namibia and Egypt-Morocco to a lesser extent. South Africa was found to be the most endogenous, whilst Ghana and Nigeria were the most exogenous on the continent. We regards to volatility, we found that it was asymmetric and persistent across all the stock markets with long term trend of volatility showing that it significantly increased for most of the markets. Finally, there were limited volatility linkages, only between South Africa, Egypt and Namibia, implying that African stock markets are still largely segmented from each other. However, the linkages between South Africa and Egypt could have negative effects as they could lead to the spread of contagion effects during times of crises. Therefore, policymakers should consider revising and improving policies to enhance economic integration on the continent.
- Full Text:
- Date Issued: 2011
Volatility transmission across South African financial markets: does the bull – bear distinction matter?
- Authors: Jaramba, Toddy
- Date: 2011
- Subjects: Finance -- South Africa , Financial institutions -- South Africa , Monetary policy -- South Africa , Portfolio management -- South Africa , Stock exchanges -- South Africa , Foreign exchange -- Mathematical models , Bond market -- South Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:1106 , http://hdl.handle.net/10962/d1013396
- Description: The volatility transmission in financial markets has important implications for investment decision making, portfolio diversification and overall macroeconomic stability. This paper analyses volatility transmission across four South African financial markets that is the stock, bond, money and foreign exchange markets, using daily data for the period 2000-2010. It also shows whether the volatilities in the SA financial markets present a different behaviour in bull and bear market phases. The effects of the international markets volatility to the local markets volatility was also looked at in this study. To obtain estimates of market volatility, the study experimented with various volatility models that include the GARCH, EGARCH and TARCH. To examine volatility interaction and the transmission of volatility shocks, a VAR model was estimated together with block exogeneity, impulse response and variance decomposition. The study found that there is limited volatility transmission across the SA financial markets. The study also found that the money market is the most exogenous of all markets since the other three financial markets volatility is insignificant to the money market (see impulse response results). For the bond market, volatility transmission was characterized with a decreasing trend. With regard to international markets volatility, it concluded that, the shocks in the international markets will eventually affect the movement in the local markets. The results also highlighted that, world and local markets are important in accelerating the volatility transmission in SA financial markets depending on whether they are in their bull or bear phases. In the case of South Africa, the study found that volatility transmission across markets is higher during bear market periods than bull market periods. Basing on the study results which show that the volatility transmission is limited across SA financial markets, the implication to local and international investors is that there is a greater potential for diversifying risk by investing in different South African financial markets.
- Full Text:
- Date Issued: 2011
- Authors: Jaramba, Toddy
- Date: 2011
- Subjects: Finance -- South Africa , Financial institutions -- South Africa , Monetary policy -- South Africa , Portfolio management -- South Africa , Stock exchanges -- South Africa , Foreign exchange -- Mathematical models , Bond market -- South Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:1106 , http://hdl.handle.net/10962/d1013396
- Description: The volatility transmission in financial markets has important implications for investment decision making, portfolio diversification and overall macroeconomic stability. This paper analyses volatility transmission across four South African financial markets that is the stock, bond, money and foreign exchange markets, using daily data for the period 2000-2010. It also shows whether the volatilities in the SA financial markets present a different behaviour in bull and bear market phases. The effects of the international markets volatility to the local markets volatility was also looked at in this study. To obtain estimates of market volatility, the study experimented with various volatility models that include the GARCH, EGARCH and TARCH. To examine volatility interaction and the transmission of volatility shocks, a VAR model was estimated together with block exogeneity, impulse response and variance decomposition. The study found that there is limited volatility transmission across the SA financial markets. The study also found that the money market is the most exogenous of all markets since the other three financial markets volatility is insignificant to the money market (see impulse response results). For the bond market, volatility transmission was characterized with a decreasing trend. With regard to international markets volatility, it concluded that, the shocks in the international markets will eventually affect the movement in the local markets. The results also highlighted that, world and local markets are important in accelerating the volatility transmission in SA financial markets depending on whether they are in their bull or bear phases. In the case of South Africa, the study found that volatility transmission across markets is higher during bear market periods than bull market periods. Basing on the study results which show that the volatility transmission is limited across SA financial markets, the implication to local and international investors is that there is a greater potential for diversifying risk by investing in different South African financial markets.
- Full Text:
- Date Issued: 2011
Volatility and the risk return relationship on the South African equity market
- Authors: Mandimika, Neville
- Date: 2010
- Subjects: Stock exchanges , Financial risk -- South Africa , Saving and investment -- South Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:1009 , http://hdl.handle.net/10962/d1002744 , Stock exchanges , Financial risk -- South Africa , Saving and investment -- South Africa
- Description: The volatility of stock markets has important implications for investment decision making, financial stability and overall macroeconomic stability. This study examines the risk-return relationship as well as the behaviour of volatility of the South African equity markets using both aggregate, industrial level and sector level data. The study is divided into three parts. The first part investigates the behaviour of volatility in each of the industries, sectors and the benchmark series focussing on whether volatility is symmetric or asymmetric. Subsequently we investigate which, among the GARCH family of models appropriately captured the riskreturn relationship under which distributional assumption. The second part examines the riskreturn relationship on the SA stock market. The third part examines the long term trend of volatility and whether volatility significantly increases during financial crises and during major global shocks. The GARCH-M, EGARCH-M and TARCH-M models under the Gaussian, Student –t and the GED are used. The findings this study makes are as follows: firstly, there is no clear relationship between risk and return. Secondly, volatility is asymmetrical, implying that bad news has a greater effect on volatility than good news in the South African equity market. Thirdly, the TARCH-M model under the GED was found to be the most appropriate model. Fourthly, volatility increases during financial crises and major global shocks. Overall, volatility is generally not priced on the South African equity markets. Thus, both local and international investors need to consider other factors that influence returns such as skewness. The general increase in volatility during financial crises and major global shocks poses a major concern for policy makers as this may cause financial instability. Thus policy makers need to be mindful of the behaviour of volatility in the South African equity market in response to external shocks.
- Full Text:
- Date Issued: 2010
- Authors: Mandimika, Neville
- Date: 2010
- Subjects: Stock exchanges , Financial risk -- South Africa , Saving and investment -- South Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:1009 , http://hdl.handle.net/10962/d1002744 , Stock exchanges , Financial risk -- South Africa , Saving and investment -- South Africa
- Description: The volatility of stock markets has important implications for investment decision making, financial stability and overall macroeconomic stability. This study examines the risk-return relationship as well as the behaviour of volatility of the South African equity markets using both aggregate, industrial level and sector level data. The study is divided into three parts. The first part investigates the behaviour of volatility in each of the industries, sectors and the benchmark series focussing on whether volatility is symmetric or asymmetric. Subsequently we investigate which, among the GARCH family of models appropriately captured the riskreturn relationship under which distributional assumption. The second part examines the riskreturn relationship on the SA stock market. The third part examines the long term trend of volatility and whether volatility significantly increases during financial crises and during major global shocks. The GARCH-M, EGARCH-M and TARCH-M models under the Gaussian, Student –t and the GED are used. The findings this study makes are as follows: firstly, there is no clear relationship between risk and return. Secondly, volatility is asymmetrical, implying that bad news has a greater effect on volatility than good news in the South African equity market. Thirdly, the TARCH-M model under the GED was found to be the most appropriate model. Fourthly, volatility increases during financial crises and major global shocks. Overall, volatility is generally not priced on the South African equity markets. Thus, both local and international investors need to consider other factors that influence returns such as skewness. The general increase in volatility during financial crises and major global shocks poses a major concern for policy makers as this may cause financial instability. Thus policy makers need to be mindful of the behaviour of volatility in the South African equity market in response to external shocks.
- Full Text:
- Date Issued: 2010
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