In the past few decades the theory of cointegration has been widely used in the empirical analysis of economic data. The reason is that, it captures the economic notion of a long-run economic relation. One of the problems experienced when applying cointegrated techniques to econometric modelling is the determination of lag lengths for the modelled variables. Applied studies have resulted in contradictory choices for lag length selection. This study reviews and compares some of the well-known information criteria using simulation techniques for bivariate models.

Vector autoregression models have become widely used research tools in the analysis of macroeconomic time series. Cointegrated techniques are an essential part of empirical macroeconomic research. They infer causal long-run relationships between nonstationary variables. In this study, six information criteria were reviewed and compared. The methods focused on determining the optimum information criteria for detecting the correct lag structure of a two-variable cointegrated process.

The control of inflation requires a forecast of the future path of the price level and its indicators. Targeting inflation directly requires that the central bank (SARB) form forecasts of the likely path of prices paying close attention to a variety of indicators that shows the predictive power of inflation in the past periods. Inflation indicators might be cointegrated with the rate of inflation to predict the future inflation rates. Forecasting inflation may be very difficult at a particular period due to the fact that the array candidate indicators of inflation may neither be very stable nor very strong in their relationships with the rate of inflation. Although this might be the case, this research uses testable effects of each of the South African inflation indicators to the rate of inflation using econometrics tools to find that they have a long run trend with the rate of inflation in South Africa. It has been found that each of the indicator variables has a long run relationship with the rate of inflation. The major conclusion is that inflation indicator variables like money supply (M3), oil price, gold price, total employment, interest rates, exchange rates and output growth can be useful inflation indicators in targeting the future trends of inflation in South Africa according to the data used in this research although some studies in some countries find that inflation targeting is an insufficient framework for monetary policy in the presence of financial exuberance. The money supply, the oil prices, interest rates, the exchange rates, prices of gold, the employment and output growth are co-integrated with the rate of inflation representing a long-run relationship.

This study analyses and investigates the impact of crude oil price vitality on unemployment in South Africa. This is done by firstly surveying theoretical and empirical literature on the crude oil price-unemployment relationship before relating it to South Africa. Secondly, crude oil and unemployment trends with their causes are overviewed. The study employs a Johansen co-integration technique based on VAR to model unemployment against crude oil prices, real effective exchange rate, real interest rates and real gross domestic product. Using quarterly data for the period 1990-2010, econometric results show that crude oil prices are positively related to unemployment in the long run while the opposite is true in the short run. Parameter estimates and variables are statistically significant; hence there are also policy recommendations which are related to both empirical and theoretical literature. Lastly, impulse response functions show that unemployment returns to equilibrium in the long run when crude oil price changes whereas real interest rates followed by crude oil prices explain most of unemployment changes compared to other variables in the long run.

A number of developing countries have been on a quest to attract foreign direct investment (FDI) with the intention of increasing capital inflow through technological spillovers and transfer of managerial skills. FDI can increase economic growth and development of a country by creating employment, and by doing so, increasing economic activity that will lead to economic growth. South Africa is one of the economies that strive to attract more FDI inflows into the country to be able to improve its economy, and the country has adopted policies that drive the motive to attract FDI inflows. This study investigated the effect of FDI on sectoral growth over the period 1970–2014. The purpose was to find out where in the three key sectors of South Africa FDI is more significant. The review of theoretical and empirical literature on FDI revealed that FDI has a diverse effect on economic growth, both in developed and developing countries. Theoretical literature analysed the behaviour of multinational firms and the motive behind multinationals investing in foreign countries. According to Dunning (1993), firms have four motives to decide to produce abroad, namely natural resource-seeking, market-seeking, efficiency-seeking and strategic asset-seeking. Empirical studies on sectors show that FDI inflows affect different sectors in different ways, and that the agricultural sector does not usually gain from FDI inflows, whereas subsectors in the industry and services sector grow from receiving FDI inflows. Sectoral analysis revealed that the services sector receives more FDI inflows, when compared to the agriculture and industry sector. The study followed an econometric analysis technique to test the effect of FDI inflows on the agriculture, industry and services sectors. The augmented Dickey–Fuller and Phillips–Perron tests were used to test for unit root. Both tests revealed that variables were not stationary at level, but that they become stationary at first difference. Vector autoregressive (VAR) models were estimated, and four types of diagnostic tests were performed on them to check the fitness of the models. The tests showed that residuals of the estimated VARs were robust and well behaved. The Johansen cointegration test suggested there is cointegration and that there is a long-run relationship between variables. Following the existence of cointegration, the estimated Vector error correction model (VECM) results showed that FDI has a significant effect on the services and industry sector, but has a negative effect on the agricultural sector. Impulse response analysis results revealed the correct signs, and confirmed the VECM results. FDI inflows explain a small percentage of growth in agriculture and industry, but a sizable and significant percentage in the services sector. / Economics / M. Com. (Economics)

In this study an analysis of the long-term equilibrium relationship between economic growth measured as real GDP growth and private capital inflows is explored. The link between private capital inflows and economic growth is well-documented in the literature. However, a void in the literature relates to examining the cointegrating relationship between private capital inflows and economic growth particularly for South Africa. It is widely claimed that private capital inflows foster economic growth by closing the savings/investment gap. However, clarity on this point is necessary because of the seemingly unclear nature of the relationship in the literature. The exact form of this relationship as well as the nature of capital flows that could impact on real growth requires further investigation. Moreover, what exactly happens to this relationship in an economic crisis such as recently recorded in the global financial crisis is not clear. The analysis is undertaken by employing cointegration and vector error correction modeling approach using quarterly data for the period 1989q4-2009q4. This study employs the Johansen (1998) cointegration test. This technique distinguishes itself since it establishes the long run relationship between variables. Thereafter, residual diagnostic checks are performed on the variables. Our results show among others, that private capital inflows have impacted positively on the growth of the South African economy. The areas for further research that emerge from this study include the effect of some government policies on economic growth that should also receive more attention in the future since political instability slows down investment.

The neoclassical theory suggests that free flows of external capital should be equilibrating and thereby facilitating smoothening of an economy's consumption or production patterns. South Africa has a very low savings rate, making it highly dependent on capital inflows which create instability and volatility in global markets. A policy dilemma is undoubtedly evident: capital inflows help to cater for the domestic low savings and at the same time the inflows pose instability, a threat on competitiveness and volatility challenges to the same economy due to their impact on exchange rates. The question is: are all forms of capital flows equally destabilizing? Since studies based on South Africa considered only the relationship between aggregate capital flows and real exchange rate, modelling individual components of capital flows could enlighten policy formulation even further. The composition of the flows and their effects on the composition of aggregate demand determine the evolution of real exchange rate response to surges in capital flows. Through co-integration and vector error correction modelling techniques applied to South African data between 1990 and 2010, the study found out that foreign portfolio investment exerts the greatest appreciation effect on the South African real exchange rate, followed by other investment and finally foreign direct investment. Thus the impact of capital flows on real exchange rate in South Africa differs by type of capital. This presents varied policy implications.

This study assessed the effects of currency volatility on the Johannesburg Stock Exchange. An evaluation of literature on exchange rate volatility and stock markets was conducted resulting into specification of an empirical model.The Generalised Autoregressive Conditional Heteroskedascity (1.1) (GARCH) model was used in establishing the relationship between exchange rate volatility and stock market performance. The study employed monthly South African data for the period 2000 – 2010. The data frequency selected ensured an adequate number of observations. A very weak relationship between currency volatility and the stock market was confirmed. The research finding is supported by previous studies. Prime overdraft rate and total mining production were found to have a negative impact on Market capitalisation. Surprisingly, US interest rates were found to have a positive impact on Market capitalisation. This study recommended that, since the South African stock market is not really exposed to the negative effects of currency volatility, government can use exchange rate as a policy tool to attract foreign portfolio investment. The weak relationship between currency volatility and the stock market suggests that the JSE can be marketed as a safe market for foreign investors. However, investors, bankers and portfolio managers still need to be vigilant in regard to the spillovers from the foreign exchange rate into the stock market. Although there is a weak relationship between rand volatility and the stock market in South Africa, this does not necessarily mean that investors and portfolio managers need not monitor the developments between these two variables.