3. Electronic Theses and Dissertations (ETDs) - All submissions
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Item Share issues and repurchases related to equity market timing on the JSE(2016-01-29) Potgieter, FahmidaInformation asymmetry creates a gap between management’s perception of the firm’s value and the market value of the firm. It is thought that management engage in information signalling activities in order to close the gap created by information asymmetry. There is a need to understand why management engage in their chosen transactions as this will provide investors with insight into market activities, as well as allow for more accurate investment strategies. While research is available on the market’s reactions to signalling events, the problem is whether management’s intentions have been correctly interpreted by the market. The starting point to gaining this understanding is to ask the question: What signals do management send when they issue and repurchase shares? This study attempts to answer this question by investigating whether companies listed on the Johannesburg Stock Exchange (JSE) issue shares because management perceive their market values to be overvalued and repurchase shares because their market values are undervalued. For the period 1 January 2003 to 31 December 2012, a total of 295 share issue announcements are considered for 102 companies; and a total of 183 share repurchase announcements are considered for 83 companies. The results of this study reveal that managerial equity market timing may exist in the presence of excess returns, where management are better able to predict returns in advance than the market. However, there is also evidence suggesting share repurchases are made to return excess cash to shareholders and issues and repurchases decisions are linked to capital structure planning. The fact that there are other potential reasons for share issues and repurchases, means that the market must be able to determine what the real intentions of management are when shares are issued and repurchased; and hence determine whether their intentions suggest equity market mispricing.Item The relations between dividend policy and stock returns in the Dar Es Salaam Stock Exchange, Tanzania(2015) Sylvester, Deodatus MkobaDividend policy establishes the distribution of a company’s profit whether they could pay out to the stockholders as dividends or retain the profit for re-investments in the company. There are several theories which explain the dividend behaviour, and the empirical studies suggest evidence for one over the other, however the belief concerning corporate dividend theories are different. There are two conflicting theories; those who believe in dividend relevance theory (Lintner & Gordon) and those who believe in dividend irrelevance theory (Miller & Modigliani). The key part of the study is related to the evaluation of which theory is suited for dividend policy of companies in Dar es Salaam Stock Exchange (DSE). So far numerous researchers have make an effort to solve the dividend puzzle. The main aim of this study was to establish whether there is a relationship between dividend policy and stock return of companies listed in Dar es Salaam Stock Exchange. In particular, the study focuses on three main aspects, namely; investigating the association between stock returns and dividend yield, stock price reaction to dividend announcements and identifying the factors influencing dividend policy decisions. The empirical findings confirmed that dividend yield has a strong impact on stock returns and it is statistically significant. The finding of this study supported the dividend relevance theory. The event study found that dividend announcements have an impact on share prices and the significance of the abnormal around event date confirms that the DSE market supports dividend relevance and signaling theory. Finally, the study concluded that debt ratio and age of the firms have a strong influence on the dividend policy on firms on the DSE.Item An empirical evaluation of capital asset pricing models on the JSE(2014-03-07) Sacco, Gianluca Michelangelo;The Capital Asset Pricing Model (CAPM), as introduced by Markowitz (1952), Sharpe (1964), Lintner (1965), Black (1972) and Mossin (1966), offers powerful and intuitively pleasing predictions about the risk and return relationship that is expected when investing in equities. Studies on the empirical strength of the CAPM such as Fama and French (1992), however, indicate that the model does not reflect the share return actually obtained on the equity market. Attempting to improve the model, Fama and French (1993) enhanced the original CAPM by incorporating other factors which may be relevant in predicting the return on share investments, specifically, the book – to – market ratio and the market capitalisation of the entity. Carhart (1997) further attempted to improve the CAPM by incorporating momentum analysis together with the 3 factors identified by Fama and French (1993). This research report empirically evaluates the accuracy of the above three models in calculating the cost of equity on the Johannesburg Stock Exchange over the period 2002 to 2012. Portfolios of shares were constructed based on the three models for the purposes of this evaluation. The results indicate that the book-to-market ratio and market capitalisation are able to add some robustness to the CAPM, but that the results of formulating book – to – market and market capitalization portfolios is highly volatile and therefore may lead to inconsistent results going forward. By incorporating the short run momentum effect, the robustness of the CAPM is improved substantially, as the Carhart model comes closest to reflecting what, for the purposes of this study, represents the ideal performance of an effective asset pricing model. The Fama and French (1993) and Carhart (1997) models therefore present a step forward in formulating an asset pricing model that will hold up under empirical evaluation, where the expected cost of equity is representative of the total return that can be expected from investing in a portfolio of shares. It is however established that the additional factors indicated above are volatile, and this volatility may influence the results of a longer term study.Item A comparison of the forecasting accuracy of the downside beta and beta on the JSE top 40 for the period 2001-2011(2014-03-06) O'Malley, Brandon ShaunThe purpose of this research report is to determine whether the use of a Downside risk variable – the D-Beta – is more appropriate in the emerging market of South Africa than the regular Beta used in the CAPM model. The prior research upon which this report expands, performed by Estrada (1999; 2002; 2005), focuses on using Downside risk models mainly at an overall country (market) level. This report focuses exclusively on South Africa, but could be applicable to various other emerging markets. The reason for researching this topic is simple: Investors – not just in South Africa, but all across the world – think of risk differently to the way that it is defined in terms of modern portfolio theory. Beta measures risk by giving equal weight to both Upside and Downside volatility, while in reality, investors are a lot more sensitive to Downside fluctuations. The Downside Beta takes into account only returns which are below a certain benchmark, thereby allowing investors to determine a share’s Downside volatility. When the Downside Beta is included as the primary measure of systematic risk in an asset pricing model (such as the D-CAPM), the result is a model which can be used to determine cost of equity, and make forecasts about share returns. The results of this research indicate that using the D-CAPM to forecast returns results in improved accuracy when compared to using the CAPM. However, when comparing goodness of fit, the CAPM and the D-CAPM are not significantly different. Even with this conflicting result, this research shows that there is indeed value in using the D-Beta in South Africa, especially during times of economic downturn.Item Algorithmic trading, market efficiency and the momentum effect(2014-02-24) Gamzo, Rafael AlonThe evidence put forward by Zhang (2010) indicates that algorithmic trading can potentially generate the momentum effect evident in empirical market research. In addition, upon analysis of the literature, it is apparent that algorithmic traders possess a comparative informational advantage relative to regular traders. Finally, the theoretical model proposed by Wang (1993), indicates that the informational differences between traders fundamentally influences the nature of asset prices, even generating serial return correlations. Thus, applied to the study, the theory holds that algorithmic trading would have a significant effect on security return dynamics, possibly even engendering the momentum effect. This paper tests such implications by proposing a theory to explain the momentum effect based on the hypothesis that algorithmic traders possess Innovative Information about a firm’s future performance. From this perspective, Innovative Information can be defined as the information derived from the ability to accumulate, differentiate, estimate, analyze and utilize colossal quantities of data by means of adept techniques, sophisticated platforms, capabilities and processing power. Accordingly, an algorithmic trader’s access to various complex computational techniques, infrastructure and processing power, together with the constraints to human information processing, allow them to make judgments that are superior to the judgments of other traders. This particular aspect of algorithmic trading remains, to the best of my knowledge, unexplored as an avenue or mechanism, through which algorithmic trading could possibly affect the momentum effect and thus market efficiency. Interestingly, by incorporating this information variable into a simplified representative agent model, we are able to produce return patterns consistent with the momentum effect in its entirety. The general thrust of our results, therefore, is that algorithmic trading can hypothetically generate the return anomaly known as the momentum effect. Our results give credence to the assumption that algorithmic trading is having a detrimental effect on stock market efficiency.Item Analysis of predictable behaviour of security returns on the JSE(2014-02-17) Muzenda, SimonThis paper replicates Jegadeesh`s (1990) paper entitled “Evidence of Predictable Behavior of Security Returns”. Jegadeesh (1990) states that by using the observed systematic behaviour of stock returns it is possible to make “one-step-ahead return forecasts”. That is forecast the return one month in the future. The aim of this research is to assess the predictability of monthly returns on the Johannesburg Stock Exchange (JSE) by analysing the monthly returns of stocks and portfolios of stocks from the JSE. This thesis will show that it is not possible to accurately or reliably forecast future returns for individual stocks or portfolios of stocks from the JSE. In addition the findings in this paper also indicate that stocks and portfolios of stocks from the JSE follow the random walk theory.Item Earning news on stock liquidity and post earnings announcement drift in France, USA and South Africa.(2013-08-27) Oyebanji, Busayo FunkeThis thesis aims to investigate the influence of earnings news on stock liquidity and the relationship between information asymmetry cost component and Post Earnings Announcement Drift in different equity markets. The scope of this research includes 426 firms from three countries in capital trading, the United States of America, South Africa and France. The first part of empirical work, shows that price reaction and liquidity effect are profound during short term event window length and reduce over time when the news ceases, The second part, a multivariate regression analysis which uses Generalised Method of Movement to capture both the problems of a likely presence of endogeneity between the explanatory variables and cross-stock heterogeneity, shows that the impact of earnings announcement on stock liquidity can split in two directions. The immediate effect is the shock after the news, causing stock liquidity to decrease immediately by lifting the illiquidity function upward. After the event, from the new increased position of illiquidity function, stock liquidity improves over time due to the trading volume increases and shifts the slope of illiquidity function downward. The overall effects at a point of time will be the total impact of the two side effects. And as shown in the results, the overall impact on the US and SA markets are that stock liquidity decreases while that of Euronext Paris, the stock liquidity increases. There are two types of Accounting law systems of which the common law system is used in the US and SA equity markets and the code law system used in France, the difference between the two law systems is that the information asymmetry component dominates the bid-ask spread in common law countries as in the US and SA markets while the cost of trading dominates the bid-ask spreads in code law countries such as France equity market. Finally, it is shown that there are several determinants of the PEAD, of which stock liquidity is one. Earnings news changes the stock liquidity, and therefore stock liquidity plays a role in the market response. When earnings news is released, it initially creates a gap between the informed traders and the uninformed traders, increasing the bid ask spread. Over time, this information gap decreases, however in the meantime more information on the market increases trading volume and reduces trading cost, leading to another part of the bid ask spread decreasing or stock liquidity improving. After decomposing bid ask spread into information asymmetry cost and cost of trading components, the final part of empirical iv analysis shows that information asymmetry cost component provides a partial explanation for PEAD in the Johannesburg stock exchange and Euronext Paris.Item Stock price reaction to earnings announcements: a comparative test of market efficiency between NSE securities exchange and JSE securities exchange(2013-08-22) Rono, Hilda ChepchumbaThis study examined stock market reaction to annual earnings announcements using the most recent data from the Nairobi Securities Exchange (Kenya) and JSE Securities exchange (South Africa). The period of study is 1 January 2005, to 31 December, 2011. Using the event study methodology, the magnitude of market reaction to the earnings announcements for a sample of 261 listed firms on NSE and JSE is tested. Abnormal returns (ARs) were computed for each firm and tested how announcements impact a firms’ share price. The results show positive and significant returns on the announcement month for JSE, whereas the returns for NSE are negative and significant on the second month after announcement. In our study, JSE and NSE observed mean CAR of (+1.64%) and (-1.8606) respectively, suggesting that earnings contain important information for the market. We find that there is no post earnings announcement drift observed over the next six months after the announcement. The results are consistent with the efficient market hypothesis, thus suggesting that the Johannesburg securities exchange and Nairobi securities exchange are informationally efficient to earnings announcements by the sample of listed firms. Furthermore, our results show NSE firms performed better than JSE firms during the economic boom and meltdown, whereas JSE firms observed a good performance during the economic recession compared to NSE firms.Item Reviving Beta? Another look at the cross-section of average share returns on the JSE(2012-07-05) Page, DanielVan Rensburg and Robertson (2003a) stated that the CAPM beta has little or no relationship with returns generated by size and price to earnings sorted portfolios. This study intends to demonstrate that a reformulated CAPM beta, estimated using return on equity as opposed to share returns, unravels the size and value premium. The study proves that the “cash-flow” generated beta partially explains the cross-sectional variation in share returns when measured over the long run, specifically when portfolios are sorted on book to market, however the cash flow beta is less successful when attempting to explain the small size premium. The premise of the study is that the cash flow dynamics of share returns eventually dominate the first and second moments and thus result in cash flow based measures of risk and return that should succeed in explaining the cross-sectional variation in share returns. The study makes use of vector autoregressive models in order to examine the short term effect of structural shocks to the cash flow fundamentals of a stock or portfolio through impulse response functions as well as quantifying a long-term relationship between cash flow fundamentals and share returns using a VECM specification. The study further uses fixed effects, random effects and GMM/dynamic panel data cross-sectional regressions in order to examine the ability of the cash flow beta explaining the value and size premium. The results of the study are mixed. The cash flow beta does well in explaining the returns of portfolios sorted on book to market, but fails to do the same with size sorted portfolios. In the cash flow betas favour, it performs far better than the conventionally measured CAPM beta throughout the study.Item A South African look at value vs. growth investing, extrapolation, and risk(2012-01-24) Jago, FarynContrarian investment is a well-documented strategy that may be able to earn the investor superior returns. The theory holds that stocks that have had historically poor performance should be invested in, while stocks that have had superior past performance are sold. These poor past performers are considered value stocks, classified by their high book-to-market, earnings yield, dividend yield and cash flow-to-price ratios. They have low expected future cash flow growth, and tend to have low earnings. Reasons suggested for the success of contrarian investing include judgment biases, naive investors extrapolating past performance too far into the future, value stocks are riskier than growth, and well-known firms are associated with well-managed firms. CAPM along with multivariate regressions and the three-factor model are considered in this dissertation. Data comes from Findata@Wits. Topics such as behavioural finance are dealt with. Consideration of past literature is looked at - similarities and differences in results, along with comparable methods and markets. The size and book-to-market variables appear to be the best explanatory variables, proving that whether equally or value weighted, value will still outperform growth in terms of excess returns. The earnings yield explains stock returns the least.