This study analysed the short- and long-run interactions between the exchange rate and different types of investments in South Africa from 1970 to 2014. The study focussed on the portfolio theory, the life cycle of investment and the accelerator model of investment, which all found that investment plays an important part in the economic growth and development prospects of a country, thus a healthy investment environment needs to be present in order to attract investment inflows into the country. The conceptualisation of exchange rates focussed on the definitions and types of exchange rates that are in existence, as well as the theories of exchange rate determination which included the purchasing power parity, the interest rate parity, the portfolio balance approach and the Balassa-Samuelson model. These theories are all different but are essential for this study as assumptions made by these theories are relevant to the explanations of exchange rates. The Vector Autoregressive model (VAR), a multivariate Johansen co-integration approach and Granger causality test were conducted to analyse the interactions between the exchange rate and different types of investments. The short-run analysis found that there was a short-run relationship between the exchange rate and different types of investments in South Africa. However, this short-run interaction were found to be small, thus, not significant enough to cause disruptions to the exchange rate and to the inflow of investments into the country. The long-run analysis found that a there was a long-run relationship between the exchange rate and different types of investments in South Africa. This long-run relationship was also found to be negative. This study concluded that investments have a negative, long-run effect on the exchange rate, suggesting that a fall in the investments would cause an increase in the exchange rate in the long-run.

This study analysed the short- and long-run interactions between the exchange rate and different types of investments in South Africa from 1970 to 2014. The study focussed on the portfolio theory, the life cycle of investment and the accelerator model of investment, which all found that investment plays an important part in the economic growth and development prospects of a country, thus a healthy investment environment needs to be present in order to attract investment inflows into the country. The conceptualisation of exchange rates focussed on the definitions and types of exchange rates that are in existence, as well as the theories of exchange rate determination which included the purchasing power parity, the interest rate parity, the portfolio balance approach and the Balassa-Samuelson model. These theories are all different but are essential for this study as assumptions made by these theories are relevant to the explanations of exchange rates. The Vector Autoregressive model (VAR), a multivariate Johansen co-integration approach and Granger causality test were conducted to analyse the interactions between the exchange rate and different types of investments. The short-run analysis found that there was a short-run relationship between the exchange rate and different types of investments in South Africa. However, this short-run interaction were found to be small, thus, not significant enough to cause disruptions to the exchange rate and to the inflow of investments into the country. The long-run analysis found that a there was a long-run relationship between the exchange rate and different types of investments in South Africa. This long-run relationship was also found to be negative. This study concluded that investments have a negative, long-run effect on the exchange rate, suggesting that a fall in the investments would cause an increase in the exchange rate in the long-run.

This study is about whether the money supply in South Africa under a monetary policy regime of inflation‐targeting is exogenously or endogenously determined. The proposition of an exogenous money supply has been offered by monetarists, where the Central Bank determines the quantity of money supplied to the economy and this has a causal influence on income and credit extension. The endogenous money theory is a post‐Keynesian proposition whereby the money creation is determined by banks adjusting their responses to demands for credit‐money from economic agents. The data analysis is from 2000Q1 to 2010Q4 and entails the use of the variables monetary base (MB), domestic credit extension (DCE), M3, and gross national product (GDP). All variables are logged. The empirical tests conducted start with the Augmented Dickey‐Fuller unit root test to determine the variables order of integration. Johansen cointegration tests are done followed by Vector Error‐Correction Models (VECMs) and Granger causality tests to determine whether there is unidirectional or bidirectional causality between variables over the long and short‐run. Based on the results of the testing it was discovered that over the inflation‐targeting regime money supply in South Africa was endogenously determined. Furthermore, the data best supports the Accommodationist analysis of endogenous money as opposed to that of Structuralism and Liquidity Preference / Adobe Acrobat 9.53 Paper Capture Plug-in

This study provides evidence of the relationship between bank-granted credit and business cycles in South Africa. The study is conducted in three phases, namely qualitative research (Phase I), quantitative research (Phase II) and econometric analysis (Phase III). A sequential (connected data) mixed methodology (Phase I and II) is used to collect and analyze primary data from market participants. The qualitative research (Phase I) involves structured interviews with influential or well informed people on the subject matter. Phase I of the study is used to understand the key determinants of bank credit in South Africa and to appreciate how each of the credit aggregates behaves during alternate business cycles. Qualitative survey results suggest key determinants of commercial bank credit in South Africa as economic growth, collateral value, bank competition, money supply, deposit liabilities, capital requirements, bank lending rates and inflation. The qualitative results are used to formulate questions of the structured survey questionnaire (Quantitative research- Phase II). The ANOVA and Pearman’s product correlation analysis techniques are used to assess relationship between variables. The quantitative results show that there is direct and positive relationship between bank lending behavior and credit aggregates namely economic growth, collateral value, bank competition and money supply. On the other hand, the results show that there is a negative relationship between credit growth and bank capital and lending rates. Overall, the quantitative findings show that bank lending in South Africa is procyclical. The survey results indicate that the case for demand-following hypothesis is stronger than supply-leading hypothesis in South Africa. The econometric methodology is used to augment results of the survey study. Phase III of the study re-examines econometric relationship between bank lending and business cycles. The study employs cointegration and vector error correction model (VECM) techniques in order to test for existence of long-run relationship between the selected variables. Granger causality test technique is applied to the variables of interest to test for direction of causation between variables. The study uses quarterly data for the period of 1980:Q1 to 2013:Q4. Business cycles are determined and measured by Gross Domestic Product at market prices while bank-granted credit is proxied by credit extension to the private sector. The econometric test results show that there is a significant long-run relationship between economic growth and bank credit extension. The Granger causality test provides evidence of unidirectional causal relationship with direction from economic growth to credit extension for South Africa. The study results indicate that the case for demand-following hypothesis is stronger than supply-leading hypothesis in South Africa. Economic growth spurs credit market development in South Africa. Overall, the results show that there is a stable long-run relationship between macroeconomic business cycles and real credit growth in South Africa. The results show that economic growth significantly causes and stimulates bank credit. The study, therefore, recommends that South Africa needs to give policy priority to promotion and development of the real sector of the economy to propel and accelerate credit extension. Economic growth is considered as the significant policy variable to stimulate credit extension. The findings therefore hold important implications for both theory and policy. / Business Management / D.B.L.

This study provides evidence of the relationship between bank-granted credit and business cycles in South Africa. The study is conducted in three phases, namely qualitative research (Phase I), quantitative research (Phase II) and econometric analysis (Phase III). A sequential (connected data) mixed methodology (Phase I and II) is used to collect and analyze primary data from market participants. The qualitative research (Phase I) involves structured interviews with influential or well informed people on the subject matter. Phase I of the study is used to understand the key determinants of bank credit in South Africa and to appreciate how each of the credit aggregates behaves during alternate business cycles. Qualitative survey results suggest key determinants of commercial bank credit in South Africa as economic growth, collateral value, bank competition, money supply, deposit liabilities, capital requirements, bank lending rates and inflation. The qualitative results are used to formulate questions of the structured survey questionnaire (Quantitative research- Phase II). The ANOVA and Pearman’s product correlation analysis techniques are used to assess relationship between variables. The quantitative results show that there is direct and positive relationship between bank lending behavior and credit aggregates namely economic growth, collateral value, bank competition and money supply. On the other hand, the results show that there is a negative relationship between credit growth and bank capital and lending rates. Overall, the quantitative findings show that bank lending in South Africa is procyclical. The survey results indicate that the case for demand-following hypothesis is stronger than supply-leading hypothesis in South Africa. The econometric methodology is used to augment results of the survey study. Phase III of the study re-examines econometric relationship between bank lending and business cycles. The study employs cointegration and vector error correction model (VECM) techniques in order to test for existence of long-run relationship between the selected variables. Granger causality test technique is applied to the variables of interest to test for direction of causation between variables. The study uses quarterly data for the period of 1980:Q1 to 2013:Q4. Business cycles are determined and measured by Gross Domestic Product at market prices while bank-granted credit is proxied by credit extension to the private sector. The econometric test results show that there is a significant long-run relationship between economic growth and bank credit extension. The Granger causality test provides evidence of unidirectional causal relationship with direction from economic growth to credit extension for South Africa. The study results indicate that the case for demand-following hypothesis is stronger than supply-leading hypothesis in South Africa. Economic growth spurs credit market development in South Africa. Overall, the results show that there is a stable long-run relationship between macroeconomic business cycles and real credit growth in South Africa. The results show that economic growth significantly causes and stimulates bank credit. The study, therefore, recommends that South Africa needs to give policy priority to promotion and development of the real sector of the economy to propel and accelerate credit extension. Economic growth is considered as the significant policy variable to stimulate credit extension. The findings therefore hold important implications for both theory and policy. / Business Management / D.B.L.