A thesis submitted in partial fulfilment of the requirements for the degree of MASTER OF MANAGEMENT IN FINANCE AND INVESTMENTS Of WITS BUSINESS SCHOOL March 2015 / The paper investigates the presence of two calendar anomalies; the day of the week or Mon-day effect and the Month of the year or January effect by modelling volatility of the industrial index returns on the Zimbabwe Stock Exchange (ZSE) pre and post the multi-currency sys-tem. The procedure is carried out by employing non-parametric models from the Generalized Autoregressive Conditional Heteroscedastic (GARCH) family; GARCH, Exponential GARCH (EGARCH) and Threshold GARCH (TGARCH). The models are better suited in modelling daily and monthly seasonality as they can capture the time-varying volatility of the stock return data. The period of analysis is from the January 2004 to April 2008 (pre-dollarization period) and the second period of analysis is from the post-currency reform which runs from February 2009 to December 2013. The results obtained from the study are mixed. The day of the week test finds significantly negative returns on Monday, Wednesday and Friday pre the currency reform whilst a nega-tive Wednesday effect is found post the currency reform period. The TGARCH model is the only one that captures a negative monthly effects on all the months of the year with the ex-ception of January pre the currency reform period. No monthly effects are found on the ZSE post the currency reform period by all models employed. The absence of monthly seasonality effects and the reduced number of days of day of the week effects from all the GARCH mod-els employed can infer that the currency reform had a positive impact which translated to market efficiency.

The study has empirically examined the relative impact of public and private investment on economic growth and has also tested the crowding in or crowding out effect of public investment on private investment in four Southern African economies – Malawi, South Africa, Zambia and Zimbabwe. The analysis used annual time-series data covering the period from 1970 to 2014. The study provides new evidence to contribute firstly to the current debate regarding the relative importance of public and private investment in economic growth processes and secondly, on whether public investment crowds in or crowds out private investment in the selected countries. For this purpose, the study employed two empirical models using the recently developed Autoregressive Distributed Lag (ARDL)-bounds testing approach to cointegration. Model 1 examines the relative impact of public and private investment on economic growth while Model 2 investigates the crowding in or crowding out effect of gross public investment and its subcomponents (infrastructural and non-infrastructural) on private investment. The results of Model 1 largely supported the private investment-led economic growth strategy. In all the study countries, private investment had a positive impact on economic growth. Also, public investment positively contributed to economic growth in Zimbabwe, but in the remaining study countries, public investment had a negative relationship with economic growth. Results from Model 2 reveal that: (i) the crowding out effect of gross public investment on private investment predominates in the study countries; (ii) infrastructural public investment crowds in private investment in South Africa and Zimbabwe in the long run while it crowds out private investment in Malawi and Zambia in the short run; and (iii) non-infrastructural public investment crowds out private investment in South Africa and Zambia. On balance, the results from Model 2 show that public investment tends to crowd out private investment in the selected countries and this further underscore the importance of the private sector-led economic growth processes in the study countries. / Economics / D. Phil. (Economics)