Thesis (MBA)--Stellenbosch University, 2001. / ENGLISH ABSTRACT: Much research effort has been spent over the past few decades in the field of capital market analysis and modelling. This research was mostly based on static linear models or derivatives thereof such as the Efficient Market Hypothesis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory. This study project takes an interesting look at a contemporary capital market hypothesis, which is fundamentally based on a non-linear statistical model. The Coherent Market Hypothesis (CMH) was first formulated by Tonis Vaga in 1990. It is based on a theory of social imitation, taking factors such as the underlying fundamental situation and the level of crowd behaviour into account. It also includes the phenomenon of “random walk” as a special case. The CMH departs from the premise of rational investors and normally distributed share returns. In turn, it offers a series of “market states” ranging from trendless (random walk), through unstable transition into coherent bull or bear phases and ultimately into periods of chaotic fluctuation (panics and crashes). The CMH is mathematically formulated and therefore it offers many opportunities for experimentation. This study project is an investigation of the validity and application of the CMH using real JSE data. Artificial Neural Networks were applied as computational aids. The main objective was to demonstrate the CMH’s usefulness as a forecasting tool in both a quantitative as well as qualitative capacity. The results of the quantitative analysis were not as significant or valuable as initially expected. However, the usefulness of the CMH was demonstrated in a more qualitative sense. It is shown that the CMH offers a rich theoretical framework for interpretation, understanding and recognising of market dynamics. / AFRIKAANSE OPSOMMING: Gedurende die afgelope paar dekades is aansienlike hoeveelhede navorsing gedoen in die veld van kapitaalmark analise en modellering. Hierdie navorsing was hoofsaaklik gebaseer op statiese, lineêre modelle of afgeleides daarvan, naamlik die Efficient Market Hypothesis, die Capital Asset Pricing Model en die Arbitrage Pricing Theory. Hierdie werkstuk kyk vanuit ‘n interessante oogpunt na ‘n meer hedendaagse kapitaalmark hipotese wat fundamenteel gebaseer is op ‘n nie-lineêre statistiese model. Die Coherent Market Hypothesis (CMH) is oorspronklik geformuleer deur Tonis Vaga in 1990. Dit is gebaseer op ‘n teorie van sosiale nabootsing en dit neem faktore in ag soos die onderliggende fundamentele situasie asook die vlak van groepgedrag. Die verskynsel van “random walk” word ook ingesluit as ‘n spesiale geval. Die CMH wyk af van die aanname dat beleggers rasioneel optree asook van die aanname dat aandeel opbrengste normaal verspreid is. In teendeel, die CMH omvat ‘n reeks marktoestande wat wissel van die tendenslose (random walk) deur onstabiele oorgang na koherente bul- of beerfases en uiteindelik in tydperke van chaotiese skommelings (markineenstortings). Die CMH is wiskundig geformuleer en daarom bied dit vele geleenthede ten opsigte van eksperimentering. Hierdie werkstuk is ‘n ondersoek na die geldigheid en toepassing van die CMH met die gebruik van JSE aandeledata. Kunsmatige Neurale Netwerke is gebruik as berekeningshulpmiddels. Die hoofoogmerk was om die bruikbaarheid van die CMH as voorspellingshulpmiddel te demonstreer in beide ‘n kwantitatiewe sowel as kwalitatiewe opsig. Die resultate van die kwantitatiewe analise was nie so beduidend as aanvanklik verwag nie. Die bruikbaarheid van die CMH was wel gedemonstreer in ‘n meer kwalitatiewe opsig. Dit is ook aangetoon dat die CMH ‘n omvangryke teoretiese raamwerk bied vir die interpretasie, begrip en uitkenning van markdinamika.

Agricultural commodity derivatives were first introduced in South Africa in 1996 after the deregulation of the former marketing system. In the context of its proposed functions, namely price discovery and risk management, the question arose as to whether the futures market developed over time to performed its role efficiently. According to the Efficient Markets Hypothesis (EMH) an efficient market is one that accurately incorporates all information available at any point in time. The purpose of the research was to address the issue of price discovery efficiency, firstly, focusing on the weak-form methodology. Secondly, considering the behaviour of futures prices over time, the study addressed the concern of anomalies in daily returns – phenomena contradictory to the EMH by implication. Thirdly, as a means of defining the sources of inefficiency, the role of scheduled public information and its impact on futures prices was examined. Therefore, the primary objective of the research was to investigate and identify the main components of agricultural futures market inefficiency within the unique price formation structure of South African grain markets. The assessment of this problem is important in terms of evaluating the growth and development of the futures market for different grain commodities to date. The Exchange needs to review rules and regulations on a frequent basis in order to ensure proper functioning at all times especially in the case of a relatively new and fast growing market. The study contributed to the knowledge of understanding the price adjustment process and its implications for market efficiency in the context of the three grain markets considered. The weak-form efficiency was tested using a co-integration based model. Analysing daily spot and futures prices of white maize, yellow maize, and wheat, results indicated that all three markets were efficient and unbiased. Non-parametric tests revealed the significant presence of day-of-the-week and turn-of-the-month effects in the futures returns of the three commodities. Further non-parametric analyses suggested a high degree of uncertainty in futures returns around scheduled agricultural and macroeconomic information release dates also contributing significantly to the identified anomalies. It was concluded that (1) the markets’ ability to anticipate the contents of future information to be released, (2) the current skewed size distribution of broking members, (3) the significant role of the R/$ exchange rate in the price formation process of South African grains and, therefore, (4) the relationship to and influence of the broader economy enhanced the return effects (anomalies) creating opportunity for profitable arbitrage. This conclusion was mainly attributed to South Africa’s status as a price-taker in the world grain complex as well as the relatively short existence of the local agricultural futures markets.

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.

Cointegration has important implications for portfolio diversification. One of these is that in order to spread risk it is advisable to invest in markets that are not cointegrated. Over the last several decades communication technology has made the world a smaller place and hence cointegration in equity markets has become more prevalent. The bulk of research into cointegration focuses on developed and Asian markets, with little research been done on African markets. This study compares the Engle-Granger and Johansen tests for cointegration and uses them to calculate the level of cointegration between South African and other global equity markets. Each market is compared pair-wise with South Africa and the results have been that in general South Africa is cointegrated with other emerging markets but not really with African nor developed markets. Short-run analysis with the error correction was carried out and showed that in general markets respond slowly to any disequilibrium. Innovation accounting methods showed that the country placed first in Cholesky ordering dominates the other one. Multivariate cointegration was carried out using three selections of 4, 6 and 8 market portfolios. One of the markets was SA and the others were all chosen based on the criteria that they are not pair-wise cointegrated with SA. The level of cointegration varied depending on the portfolios, as did the error correction rates, impulse responses and variance decomposition. The one constant was that the USA dominated any portfolio where it was introduced. Recommendations were finally made about which market portfolio an investor should consider as most favourable.

The observation that similar firms faced with a similar situation and seemingly applying similar market strategies and achieving differing degrees of success sparked the study. The question that arose was whether the market strategies applied by these firms adhered to the principles of a sound market strategy put forward in the literature. The study found that the market strategy applied by the firms in question complied with the principles of market strategy, to varying degrees. The firms that adhered to these principles to a greater degree appeared to have been more successful than the others. It appeared that the latter firms neglected the principle "sustainable competitive advantage''. It was concluded that the adherence to the principles of a sound market strategy could lead to improved performance. / Business Management / D. Comm. (Business Management)

Submitted in partial fulfillment of the requirements for the degree of Masters of Management Sciences Business Administration, Durban University of Technology. Durban, South Africa, 2017. / The discipline of corporate finance has undergone numerous transformations over the past two-and-a-half decades. One such change has been in the area of corporate finance. Driven by certain behavioral biases, it has been observed that managers sometimes make subjective decisions that do not always follow the norms of traditional corporate finance. One such behavioral influence is overconfidence or optimism. There is a paucity of research on the impact that managerial overconfidence through corporate investments has on the general movement of a company’s share price. This study bridges that gap by investigating the effect of managerial overconfidence on the share price of 10 companies from the JSE/FTSE top 40 index. Its main objective was to inspect the relationship between managerial overconfidence and share price. The results show the presence of managerial overconfidence observed through the investment-cash flow sensitivity of firms. The fixed effects panel regression reveals that Tobin’s Q which is the proxy measure of the investment-cash flow sensitivity of a firm, does affect the share price. Holding every other explanatory variable constant, an increase in Tobin’s Q causes the share price to rise, which leads to the conclusion that managerial overconfidence does have an influences on the stock price. It is further observed that managerial overconfidence tends to increase with firm size. This is shown by the weak positive correlation between the Q ratio and LnTA, and Q ratio and sales. In order to avoid the possible loss in value of a firm caused by an overconfidence manager, it is recommended that shareholders or owners ensure that the manager clearly understands the company’s objectives and vision. Due to the resultant influence of managers’ on the value of a company’s stock, investors should not only look at a company’s past performance, as well as the price earnings ratio (PE ratio), dividend yield, DPS, or any other market value ratios. They should also consider the characteristics of the CEO before making their investment decisions. / M

This study seeks to investigate the trends and interactions of market volatility as a source of instability in the South African financial markets. Financial instability can be manifested in the form of banking and currency crisis, institutional failures and extreme asset price volatility. This study, however, focuses on a single aspect of financial instability - asset price volatility. Asset price volatility reflects changes in market expectations as investors react to such changes, and thus on its own is not necessarily a source of instability. However, volatility spillovers can propagate volatility shocks across the market, increasing the risk of widespread instability. Using a combination of graphical and trend analysis as well as more formal estimation techniques, the study examined volatility in the stock, money and foreign exchange markets. To obtain estimates of market volatility, the study experimented with various volatility models that include the GARCH, TARCH and EGARCH. An analysis of volatility interactions and the transmission of volatility shocks across the market is crucial to understanding financial instability. To examine volatility interaction and the transmission of volatility shocks, a VAR model was estimated. This framework allowed us to examine the propagation of shocks across the markets. Volatility in the financial markets was found to be highly persistent and in the case of exchange rates, volatility was also characterised by an increasing trend. Significant linkages between the financial markets were found. The links also extended to the volatility relationship as evidenced by significant volatility spillovers across the markets. While volatility spillovers from the money market were found in the stock market and the foreign exchange market, no volatility spillovers from these markets were found in the money market. Thus the money market was identified as the major source of volatility spillovers and shocks in the financial markets. These results highlighted the role of monetary policy in the financial system, specifically the need to make monetary policy stable and predictable to ensure that interest rate shocks are not an additional source of instability. / KMBT_363 / Adobe Acrobat 9.54 Paper Capture Plug-in

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.

The argument with regards to whether macro-economic fundamentals determine stock market behaviour is very important because of the roles it plays in an economy. Such roles include: pooling and trading of risks, mobilization of savings, provision of liquidity and allocation of capital. However, the stock market will only perform such roles effectively if the macro-economic environment is conducive. This study examined the behaviour of the All Share Index (ALSI) and market capitalization on the Johannesburg Stock Exchange in response to changes in the domestic and international macro-economic fundamentals such as the consumer price index, rand-dollar real exchange rates, domestic GDP, yield on South African government bonds, yield on United States government bonds and United States GDP. The study used cointegration and error correction techniques proposed by Johansen and Juselius (1990) to test for long run relationship. Two separate models were estimated and results obtained show that the two proxies for the stock market behaviour (All share Index and market capitalization) are true endogenous variables, but react differently to economic fundamentals. The consumer price index has a significant negative impact on the JSE share price index while market capitalization is determined predominantly by the yield on South African government bonds. The exchange rate seems to have had little or no influence on the share price index, but becomes negative and significant in the case of market capitalization. The yield on United States government bonds also produced a strong influence on both the share price index and market capitalization. While it has a negative significant impact on share prices, it produced a positive significant impact on market capitalization. In order to ascertain whether the South African interest rate or the United States interest rate is more important in explaining the share price and market capitalization, each of the variables were estimated in the model separately, the result obtained reveals that the United States interest rate is more important than the domestic interest rate in explaining the share price and market capitalization on the JSE. This implies that investors need to observe the USA interest rate before investing in South African equities. A comparison of the responses of share price index and market capitalization to impulses from the macro-economic variables tested reveals that both proxies elicit a positive response from aggregate output. The share price index responds more significantly to impulses from output growth than the market capitalization, meaning that, as aggregate production increases, the share price index tends to respond positively and quickly. The exchange rate produced mixed result from the two proxies, while it produced a positive response from the market capitalization; an initial positive response was noted in the share price index that immediately turned negative. Another glaring contrast was identified in the response of both proxies to impulses from the United States interest rate. The share price index responded positively while the market capitalization produced a negative response. This finding reveals that the two proxies actually respond differently to macro-economic variables. The variance decomposition of both stock prices and market capitalization reveals that the yield on United States government bonds has a more significant absorption potential than the South African government bonds. However, the absorption process is slower in the case of the market capitalization. The exchange rate has a greater impact on the market capitalization than stock prices. The overall assessment shows that share prices respond faster than market capitalization to macro-economic fundamentals. The study also shows that the increased openness of the South African economy by way of relaxation of the exchange control on capital account transaction has allowed the USA market to play a crucial role in equity prices in South Africa. Three main policy recommendations results from the study. Firstly, if inflation is well monitored, then the local equity market is bound to perform strongly resulting in strong shares earning growth. Secondly, the exchange rate should be made to be less volatile so that long term investment plans across borders can be further enhanced. Thirdly, financial analyst and investors in South Africa need to analyse macro-economic developments in the United States before investing in equities in South Africa.

The main objective of this study is to examine the long run relationship between stock market development and economic growth in the case of South Africa. The study used quarterly data covering the period from 1990Q1 to 2010Q4. To empirically test the link between the two variables, the study used the Johnson’s cointegration approach and Granger causality so as to test the direction of the relationship. The Vector Error Correction Model was also employed to capture both short run and long run dynamics. Generally, the results reveal that a long run relationship exists between the two variables and the causality flows from economic growth to stock market development. Also, the extent to which of stock market development impacts on growth is statistically weak.