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 This view is outdated; it has been shown that people are in fact irrational and that this could be the cause of anomalies in the market.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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- 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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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.
- Full Text:
- 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.
- Full Text:
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