Capital mobility and economic growth in South Africa
- Authors: Dhlamini, Nonceba Michelle
- Date: 2024-04-03
- Subjects: Capital movements South Africa , Economic development South Africa , Autoregression (Statistics) , Econometric models , Financial crises
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/434712 , vital:73098
- Description: The South African current account balance has been deteriorating over the years. An investigation of the correlation between capital mobility and economic growth is of interest as South Africa is heavily reliant on capital inflows to finance the current account deficit. This research topic is of importance as there is need to devise policies that maximise the benefits the nation derives from capital mobility. The benefits that capital flows provide economies, theoretically outweigh the disadvantages, provided that capital flows are absorbed productively. The topic is also of interest in the light of the magnitude of shocks to the South African economy such as the rand crisis, dotcom bubble, stock market bubble, inflation targeting, commodity super cycle, global financial crisis, the Covid-19 pandemic and Russo-Ukrainian War, as these shocks have translated to slower economic growth and higher levels of inflation. These shocks have equally revealed that countries need to have sound macroeconomic policies in order to survive the impact of any crises. The vision 2030 secretariat has identified capital markets as the key providers of capital required for achieving social economic blueprint. The empirical evidence locally is limited in comparison to the empirical evidence from outside of South Africa. This topic is of importance as South African studies on this topic are not as recent and this study aims to bridge that gap. Data were obtained from the South African Reserve Bank Quarterly Bulletin and the World Bank database for the period 1990 to 2022. The Autoregressive Distribution Lag model was employed in order to determine the relationship. This study relied on the supply-leading theory which posits capital markets may positively or negatively affect key indicators of economic growth. The study found that there is a positive long run relationship between net capital flows, saving-investment ratio and economic growth and a negative long run relationship between the degree of trade openness and economic growth. The findings will allow opportunity to address capital flow surges and in turn boost investor confidence. Capital flow management measures can help manage destabilizing exchange rate movements and capital flows coupled with macroprudential tools helping reduce the domestic buildup of vulnerabilities. , Thesis (MCom) -- Faculty of Commerce, Economics and Economic History, 2024
- Full Text:
- Date Issued: 2024-04-03
- Authors: Dhlamini, Nonceba Michelle
- Date: 2024-04-03
- Subjects: Capital movements South Africa , Economic development South Africa , Autoregression (Statistics) , Econometric models , Financial crises
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/434712 , vital:73098
- Description: The South African current account balance has been deteriorating over the years. An investigation of the correlation between capital mobility and economic growth is of interest as South Africa is heavily reliant on capital inflows to finance the current account deficit. This research topic is of importance as there is need to devise policies that maximise the benefits the nation derives from capital mobility. The benefits that capital flows provide economies, theoretically outweigh the disadvantages, provided that capital flows are absorbed productively. The topic is also of interest in the light of the magnitude of shocks to the South African economy such as the rand crisis, dotcom bubble, stock market bubble, inflation targeting, commodity super cycle, global financial crisis, the Covid-19 pandemic and Russo-Ukrainian War, as these shocks have translated to slower economic growth and higher levels of inflation. These shocks have equally revealed that countries need to have sound macroeconomic policies in order to survive the impact of any crises. The vision 2030 secretariat has identified capital markets as the key providers of capital required for achieving social economic blueprint. The empirical evidence locally is limited in comparison to the empirical evidence from outside of South Africa. This topic is of importance as South African studies on this topic are not as recent and this study aims to bridge that gap. Data were obtained from the South African Reserve Bank Quarterly Bulletin and the World Bank database for the period 1990 to 2022. The Autoregressive Distribution Lag model was employed in order to determine the relationship. This study relied on the supply-leading theory which posits capital markets may positively or negatively affect key indicators of economic growth. The study found that there is a positive long run relationship between net capital flows, saving-investment ratio and economic growth and a negative long run relationship between the degree of trade openness and economic growth. The findings will allow opportunity to address capital flow surges and in turn boost investor confidence. Capital flow management measures can help manage destabilizing exchange rate movements and capital flows coupled with macroprudential tools helping reduce the domestic buildup of vulnerabilities. , Thesis (MCom) -- Faculty of Commerce, Economics and Economic History, 2024
- Full Text:
- Date Issued: 2024-04-03
An empirical analysis of the interplay among bank competition, bank stability and regulation: a case study of banks in Zimbabwe
- Nyamuronda, Gracious Varayidzo
- Authors: Nyamuronda, Gracious Varayidzo
- Date: 2023-03-31
- Subjects: Capital adequacy ratio , Autoregression (Statistics) , Panel analysis , Competition Zimbabwe , Banks and banking Zimbabwe , Bank regulation , Economic stabilization Zimbabwe
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419473 , vital:71647
- Description: This study empirically examined the interconnection among bank competition, regulation and stability of eighteen Zimbabwean banks during the period 2011-2017. Zscore, Capital Adequacy Ratio (CAD), and Loans market share and Deposits market share which are proxies for stability, regulation and competition respectively were examined firstly using the Panel Vector Autoregressive (PVAR) model. Model 1 used loans market share as a proxy for competition and model 2 used deposits market share instead. The stability test using Eigenvalue Stability Condition showed that the PVAR model is unstable. Secondly, the above variables and five bank specific variables (i.e., credit risk, management efficiency, liquidity, return on assets and bank size) were estimated using the Feasible Generalised Least Squares (FGLS) model. The study documents that competition positively contributed to stability and regulation negatively influenced the stability of the Zimbabwean banks. Meanwhile, bank size and credit risk have a negative relationship with stability; management efficiency and liquidity have a positive relationship. Return On Assets has a negative and positive relationship with stability in model 1 and model 2, respectively. The findings implied that to enhance stability, banks must experience a competitive environment, reasonably low minimum capital requirements and cautiously designed regulatory frameworks. , Thesis (MCom) -- Faculty of Commerce, Economics and Economic History, 2023
- Full Text:
- Date Issued: 2023-03-31
- Authors: Nyamuronda, Gracious Varayidzo
- Date: 2023-03-31
- Subjects: Capital adequacy ratio , Autoregression (Statistics) , Panel analysis , Competition Zimbabwe , Banks and banking Zimbabwe , Bank regulation , Economic stabilization Zimbabwe
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419473 , vital:71647
- Description: This study empirically examined the interconnection among bank competition, regulation and stability of eighteen Zimbabwean banks during the period 2011-2017. Zscore, Capital Adequacy Ratio (CAD), and Loans market share and Deposits market share which are proxies for stability, regulation and competition respectively were examined firstly using the Panel Vector Autoregressive (PVAR) model. Model 1 used loans market share as a proxy for competition and model 2 used deposits market share instead. The stability test using Eigenvalue Stability Condition showed that the PVAR model is unstable. Secondly, the above variables and five bank specific variables (i.e., credit risk, management efficiency, liquidity, return on assets and bank size) were estimated using the Feasible Generalised Least Squares (FGLS) model. The study documents that competition positively contributed to stability and regulation negatively influenced the stability of the Zimbabwean banks. Meanwhile, bank size and credit risk have a negative relationship with stability; management efficiency and liquidity have a positive relationship. Return On Assets has a negative and positive relationship with stability in model 1 and model 2, respectively. The findings implied that to enhance stability, banks must experience a competitive environment, reasonably low minimum capital requirements and cautiously designed regulatory frameworks. , Thesis (MCom) -- Faculty of Commerce, Economics and Economic History, 2023
- Full Text:
- Date Issued: 2023-03-31
Measuring the elasticity of electricity demand in South Africa: implications for future demand and supply
- Authors: Kosiorek, Sebastian
- Date: 2018
- Subjects: Electric power consumption -- South Africa , Electric power distribution -- South Africa , Electric power production -- South Africa , Electric power failures -- South Africa , Electric utilities -- Law and legislation -- South Africa , Autoregression (Statistics) , Renewable energy sources -- South Africa , Energy policy -- South Africa , Integrated Resource Plan
- Language: English
- Type: text , Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10962/62472 , vital:28196
- Description: A key economic issue for government is the ability to effectively match electricity supply to electricity demand, because of the substantial economic losses in the case of where there is too little supply, or the waste of scarce resources where there is too much supply. In the case of South Africa, this issue, the importance of which was highlighted by the power shortages and associated “rolling blackouts” experience in 2008, has led to the creation of the Integrated Resource Plan (IRP) as a means to decide how energy policy will be developed. Recently, however, the IRP 2010 and its subsequent 2013 and 2016 (draft) updates have been criticised as being too optimistic in regards to their projections of economic growth and electricity demand, making the recommendations in these documents to be flawed. Using monthly data from January 1990 to May 2017, together with Autoregressive Distributed Lag (ARDL) bounds testing for cointegration, this paper measures changes in the elasticity of electricity demand as a result of the massive price hikes over the past decade. Thereafter, the implications of changed electricity as well as possibly lower Gross Domestic Product (GDP) growth in the future for forecasts of possible future demand for electricity are examined. From these revised forecasts, it is possible to make appropriate recommendations in regards to electricity supply policy for South Africa including what possible energy mix is needed as well as the requirements for creating new supply to meet possible future demand. It is concluded that future electricity demand is likely to be much lower than forecast in the IRP 2010 and IRP 2013 documents. The degree of uncertainty in electricity demand growth suggests that large-scale increases in supply capacity taking years to construct, such as coal or nuclear, should be avoided. Small, incremental increases in supply that are able to come on stream swiftly, such as gas, solar and wind power, are likely to be more appropriate for meeting South Africa’s future needs.
- Full Text:
- Date Issued: 2018
- Authors: Kosiorek, Sebastian
- Date: 2018
- Subjects: Electric power consumption -- South Africa , Electric power distribution -- South Africa , Electric power production -- South Africa , Electric power failures -- South Africa , Electric utilities -- Law and legislation -- South Africa , Autoregression (Statistics) , Renewable energy sources -- South Africa , Energy policy -- South Africa , Integrated Resource Plan
- Language: English
- Type: text , Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10962/62472 , vital:28196
- Description: A key economic issue for government is the ability to effectively match electricity supply to electricity demand, because of the substantial economic losses in the case of where there is too little supply, or the waste of scarce resources where there is too much supply. In the case of South Africa, this issue, the importance of which was highlighted by the power shortages and associated “rolling blackouts” experience in 2008, has led to the creation of the Integrated Resource Plan (IRP) as a means to decide how energy policy will be developed. Recently, however, the IRP 2010 and its subsequent 2013 and 2016 (draft) updates have been criticised as being too optimistic in regards to their projections of economic growth and electricity demand, making the recommendations in these documents to be flawed. Using monthly data from January 1990 to May 2017, together with Autoregressive Distributed Lag (ARDL) bounds testing for cointegration, this paper measures changes in the elasticity of electricity demand as a result of the massive price hikes over the past decade. Thereafter, the implications of changed electricity as well as possibly lower Gross Domestic Product (GDP) growth in the future for forecasts of possible future demand for electricity are examined. From these revised forecasts, it is possible to make appropriate recommendations in regards to electricity supply policy for South Africa including what possible energy mix is needed as well as the requirements for creating new supply to meet possible future demand. It is concluded that future electricity demand is likely to be much lower than forecast in the IRP 2010 and IRP 2013 documents. The degree of uncertainty in electricity demand growth suggests that large-scale increases in supply capacity taking years to construct, such as coal or nuclear, should be avoided. Small, incremental increases in supply that are able to come on stream swiftly, such as gas, solar and wind power, are likely to be more appropriate for meeting South Africa’s future needs.
- Full Text:
- Date Issued: 2018
Suicide and the South African business cycle: a time series approach, 2006-2015
- Authors: Pitot, Amaury
- Date: 2018
- Subjects: Suicide -- South Africa , Business cycles -- South Africa , Autoregression (Statistics) , Divorce -- South Africa , AutoRegressive Distributed Lagged model (ARDL)
- Language: English
- Type: text , Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10962/62286 , vital:28150
- Description: Suicide is a major public health issue and imposes substantial economic cost on society every year. For example, the World Health Organisation has estimated that there are over one million completed suicides every year, of which about 75% occur in middle and low income countries. In South Africa, suicide is one of the leading causes of non-natural death, but remains under-researched from an economic point of view due to limited data availability. Using monthly data for the period 2006-2015, this study explores whether there is a relationship between suicide and the South African business cycle. This is further broken down to examine how, if at all, this relationship with the business cycle differs across age-, gender-, and racial groups. The primary source of data for suicide and demographic groups were obtained from Statistics South Africa’s Mortality and Causes of Death Data from Death Notification released since 2006. The coincident indicator was used as a proxy for the business cycle as it represents the business cycle in real time. Using an autoregressive distributed lagged model (ARDL), a long run relationship was established with suicide being a function of the coincident indicator, divorce and fertility rate. The findings of this paper show that the overall suicide rate moves with the South African business cycle (i.e. pro-cyclical relationship) in the long run. This relationship holds for males, the black population group and the 15-29 and 30-44 age categories. In addition, the divorce rate had a positive and significant relationship with the overall suicide rate, as well as suicide among the black population group and for the 30-44 age category, whereas fertility rates had no significant relationship with suicide.
- Full Text:
- Date Issued: 2018
- Authors: Pitot, Amaury
- Date: 2018
- Subjects: Suicide -- South Africa , Business cycles -- South Africa , Autoregression (Statistics) , Divorce -- South Africa , AutoRegressive Distributed Lagged model (ARDL)
- Language: English
- Type: text , Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10962/62286 , vital:28150
- Description: Suicide is a major public health issue and imposes substantial economic cost on society every year. For example, the World Health Organisation has estimated that there are over one million completed suicides every year, of which about 75% occur in middle and low income countries. In South Africa, suicide is one of the leading causes of non-natural death, but remains under-researched from an economic point of view due to limited data availability. Using monthly data for the period 2006-2015, this study explores whether there is a relationship between suicide and the South African business cycle. This is further broken down to examine how, if at all, this relationship with the business cycle differs across age-, gender-, and racial groups. The primary source of data for suicide and demographic groups were obtained from Statistics South Africa’s Mortality and Causes of Death Data from Death Notification released since 2006. The coincident indicator was used as a proxy for the business cycle as it represents the business cycle in real time. Using an autoregressive distributed lagged model (ARDL), a long run relationship was established with suicide being a function of the coincident indicator, divorce and fertility rate. The findings of this paper show that the overall suicide rate moves with the South African business cycle (i.e. pro-cyclical relationship) in the long run. This relationship holds for males, the black population group and the 15-29 and 30-44 age categories. In addition, the divorce rate had a positive and significant relationship with the overall suicide rate, as well as suicide among the black population group and for the 30-44 age category, whereas fertility rates had no significant relationship with suicide.
- Full Text:
- Date Issued: 2018
Cointegration, causality and international portfolio diversification : investigating potential benefits to a South African investor
- Authors: Msimanga, Nkululeko Lwazi
- Date: 2011
- Subjects: Cointegration , Econometrics , International finance , Stock exchanges -- South Africa , Stock exchanges -- Developing countries , Stock exchanges -- Developed countries , Investments -- South Africa , Portfolio management -- South Africa , Investment analysis , Autoregression (Statistics)
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:962 , http://hdl.handle.net/10962/d1002696 , Cointegration , Econometrics , International finance , Stock exchanges -- South Africa , Stock exchanges -- Developing countries , Stock exchanges -- Developed countries , Investments -- South Africa , Portfolio management -- South Africa , Investment analysis , Autoregression (Statistics)
- Description: Research studies on portfolio diversification have tended to focus on developed markets and paid less attention to emerging markets. Traditionally, correlation analysis has been used to determine potential benefits from diversification but current studies have shifted focus from correlation analysis to exploring cointegration analysis and other forms of tests such as the Vector Error Correction Methodology. The research seeks to find if it is beneficial for a South African investor to diversify their portfolio of emerging market equities over a long-term period. Daily weighted share indices for the period of January 1996 to November 2008 were collected and analysed through the application of the Johansen cointegration technique and Vector Error Correction Methodology. Granger Causality tests were also performed to established whether one variable can be useful in forecasting another variable. The study found that there was at least one statistically significant long-run relationship between the emerging markets. After testing for unit roots for all the share indices and their first difference using the Augmented Dickey-Fuller test (ADF), Philips-Perron and Kwiatkowski, Phillips, Schmidt, and Shin (KPSS) unit root tests, similar conclusions were m~de. All the unit root tests and their levels could not be rejected for all the series. However, unit root tests on the first differences were rejected, meaning that all series are of order 1(1) - evidence of cointegration. Simply put, emerging markets tend not to drift apart over time. This suggests that emerging markets offer limited benefits to investors who are looking to add some risk to their portfolios. In addition, the study also found evidence of both unidirectional and bidirectional causality (Granger-Cause tests) between markets. This implies that the conditions for a particular market are exogenous of the other market. The study concludes that emerging markets are gradually adopting the same profile as developed markets.
- Full Text:
- Date Issued: 2011
- Authors: Msimanga, Nkululeko Lwazi
- Date: 2011
- Subjects: Cointegration , Econometrics , International finance , Stock exchanges -- South Africa , Stock exchanges -- Developing countries , Stock exchanges -- Developed countries , Investments -- South Africa , Portfolio management -- South Africa , Investment analysis , Autoregression (Statistics)
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:962 , http://hdl.handle.net/10962/d1002696 , Cointegration , Econometrics , International finance , Stock exchanges -- South Africa , Stock exchanges -- Developing countries , Stock exchanges -- Developed countries , Investments -- South Africa , Portfolio management -- South Africa , Investment analysis , Autoregression (Statistics)
- Description: Research studies on portfolio diversification have tended to focus on developed markets and paid less attention to emerging markets. Traditionally, correlation analysis has been used to determine potential benefits from diversification but current studies have shifted focus from correlation analysis to exploring cointegration analysis and other forms of tests such as the Vector Error Correction Methodology. The research seeks to find if it is beneficial for a South African investor to diversify their portfolio of emerging market equities over a long-term period. Daily weighted share indices for the period of January 1996 to November 2008 were collected and analysed through the application of the Johansen cointegration technique and Vector Error Correction Methodology. Granger Causality tests were also performed to established whether one variable can be useful in forecasting another variable. The study found that there was at least one statistically significant long-run relationship between the emerging markets. After testing for unit roots for all the share indices and their first difference using the Augmented Dickey-Fuller test (ADF), Philips-Perron and Kwiatkowski, Phillips, Schmidt, and Shin (KPSS) unit root tests, similar conclusions were m~de. All the unit root tests and their levels could not be rejected for all the series. However, unit root tests on the first differences were rejected, meaning that all series are of order 1(1) - evidence of cointegration. Simply put, emerging markets tend not to drift apart over time. This suggests that emerging markets offer limited benefits to investors who are looking to add some risk to their portfolios. In addition, the study also found evidence of both unidirectional and bidirectional causality (Granger-Cause tests) between markets. This implies that the conditions for a particular market are exogenous of the other market. The study concludes that emerging markets are gradually adopting the same profile as developed markets.
- Full Text:
- Date Issued: 2011
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