Investment promotions within port systems: a case of the port of Ngqura, south Africa
- Authors: Booi, Nozipho
- Date: 2022-04
- Subjects: Investment -- South Africa , Investment analysis
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/57601 , vital:58180
- Description: The primary role of ports is to provide an enabling logistical solution for within the transport sector. Ports within South Africa perform this primary role in strict accordance with the National Ports Act 12 of 2005. The liberalisation of economies from closed economies to open economies has impacted the transformation of the transport sector; sea borne trade through ports accounts for 80% of the global trade by volume and 70% by value. Open economies have increased the need for integration of economies and triggered a highly competitive market for ports globally competing for volumes or throughput. To attract volumes, ports need to have sound investment promotions strategies that are responding to market needs. Thus, the primary objective of the research study was to investigate and analyse the various factors that affect investment promotions within the port system, evaluating how these factors can be utilised by the Port of Ngqura to increase volumes and grow market share. Therefore, attention was placed on understanding the value proposition the port has to offer to potential investors to foster FDIs. The researcher employed an interpretivist qualitative research methodology to explore its research aim and objectives. Secondary data in the form of document analysis was used in this research study. The documents analysed are mainly Academic Journals, Policy Documents, Transnet Annual Reports, South African Port Regulator Reports (quarterly and annual reports), Industry Articles, and Published Books. The data collected from secondary sources was analysed through content analysis. The document analysis conducted to understand the determinants of investments at the Port of Ngqura, revealed that the regulatory framework, port costs, availability of infrastructure, connectivity to the hinterland market, safety and security, intermodal transport, and efficiency levels can influence investment promotions within the port, and the determinants can be utilised to increase the volumes at the Port of Ngqura. The research study reviewed the mentioned additional factors such as the speed in responding to enquiries, the packaging of information, the linkages to other development zones and guarantees of secure operations are also determinants that potential investors look for. , Thesis (MA) -- Faculty of Science, School of Environmental Sciences, 2022
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- Date Issued: 2022-04
The impact of internal behavioural decision-making biases on South African collective investment scheme performance
- Authors: Muller, Stacey Leigh
- Date: 2015
- Subjects: Decision making , Investment analysis , Efficient market theory , Consumer behavior , Behavioral assessment , Mutual funds
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:1209 , http://hdl.handle.net/10962/d1020308
- Description: Market efficiency, based on people acting rationally, has been the dominating finance theory for most of the 20th and 21st Century’s. This classical finance theory is based on assumptions that people are rational, they absorb all available information and maximise utility. This view is outdated; it has been shown that people are in fact irrational and that this could be the cause of anomalies in the market. Behavioural finance takes into account people, and their natural biases. Behavioural finance has integrated classical financial theories and psychological theories to illustrate the way in which irrational people can impact market efficiency. This research looks at the way collective investment scheme manager decision-making can impact market efficiency. Specifically the behavioural biases: overconfidence, over optimism, loss aversion and frame dependence and whether or not collective investment scheme performance is affected by these. This research was carried out using a questionnaire distributed directly to CIS managers and risk-adjusted returns were used in order to allow for comparative results. The results from the questionnaire show evidence that actively managing South African CIS managers do indeed suffer from overconfidence and loss aversion and they do not appear to suffer from frame dependence or over optimism in this research context. There was also evidence showing that managers who suffer from these biases also demonstrated lower investment returns. “The investor’s chief problem, and even his worst enemy, is likely to be himself.” - Benjamin Graham
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- Date Issued: 2015
Cointegration, causality and international portfolio diversification : investigating potential benefits to a South African investor
- Authors: Msimanga, Nkululeko Lwazi
- Date: 2011
- Subjects: Cointegration , Econometrics , International finance , Stock exchanges -- South Africa , Stock exchanges -- Developing countries , Stock exchanges -- Developed countries , Investments -- South Africa , Portfolio management -- South Africa , Investment analysis , Autoregression (Statistics)
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: vital:962 , http://hdl.handle.net/10962/d1002696 , Cointegration , Econometrics , International finance , Stock exchanges -- South Africa , Stock exchanges -- Developing countries , Stock exchanges -- Developed countries , Investments -- South Africa , Portfolio management -- South Africa , Investment analysis , Autoregression (Statistics)
- Description: 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.
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- Date Issued: 2011
Statistical comparison of international size-based equity index using a mixture distribution
- Authors: Ngundze, Unathi
- Date: 2011
- Subjects: Mixture distributions (Probability theory) , Finance -- Statistics , Investment analysis , Portfolio management
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: vital:10576 , http://hdl.handle.net/10948/d1012367 , Mixture distributions (Probability theory) , Finance -- Statistics , Investment analysis , Portfolio management
- Description: Investors and financial analysts spend an inordinate amount of time, resources and effort in an attempt to perfect the science of maximising the level of financial returns. To this end, the field of distribution modelling and analysis of firm size effect is important as an investment analysis and appraisal tool. Numerous studies have been conducted to determine which distribution best fits stock returns (Mandelbrot, 1963; Fama, 1965 and Akgiray and Booth, 1988). Analysis and review of earlier research has revealed that researchers claim that the returns follow a normal distribution. However, the findings have not been without their own limitations in terms of the empirical results in that many also say that the research done does not account for the fat tails and skewness of the data. Some research studies dealing with the anomaly of firm size effect have led to the conclusion that smaller firms tend to command higher returns relative to their larger counterparts with a similar risk profile (Banz, 1981). Recently, Janse van Rensburg et al. (2009a) conducted a study in which both non- normality of stock returns and firm size effect were addressed simultaneously. They used a scale mixture of two normal distributions to compare the stock returns of large capitalisation and small capitalisation shares portfolios. The study concluded that in periods of high volatility, the small capitalisation portfolio is far more risky than the large capitalisation portfolio. In periods of low volatility they are equally risky. Janse van Rensburg et al. (2009a) identified a number of limitations to the study. These included data problems, survivorship bias, exclusion of dividends, and the use of standard statistical tests in the presence of non-normality. They concluded that it was difficult to generalise findings because of the use of only two (limited) portfolios. In the extension of the research, Janse van Rensburg (2009b) concluded that a scale mixture of two normal distributions provided a more superior fit than any other mixture. The scope of this research is an extension of the work by Janse van Rensburg et al. (2009a) and Janse van Rensburg (2009b), with a view to addressing several of the limitations and findings of the earlier studies. The Janse van rensburg (2009b) study was based on data from the Johannesburg Stock Exchange (JSE); this study seeks to compare their research by looking at the New York Stock Exchange (NYSE) to determine if similar results occur in developed markets. For analysis purposes, this study used the statistical software package R (R Development Core Team 2008) and its package mixtools (Young, Benaglia, Chauveau, Elmore, Hettmansperg, Hunter, Thomas, Xuan 2008). Some computation was also done using Microsoft Excel. This dissertation is arranged as follows: Chapter 2 is a literature review of some of the baseline studies and research that supports the conclusion that earlier research finding had serious limitations. Chapter 3 describes the data used in the study and gives a breakdown of portfolio formation and the methodology used in the study. Chapter 4 provides the statistical background of the methods used in this study. Chapter 5 presents the statistical analysis and distribution fitting of the data. Finally, Chapter 6 gives conclusions drawn from the results obtained in the analysis of data as well as recommendations for future work.
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- Date Issued: 2011