- Title
- Cointegration, causality and international portfolio diversification : investigating potential benefits to a South African investor
- Creator
- Msimanga, Nkululeko Lwazi
- ThesisAdvisor
- Matsaseng, Kopano
- Subject
- Cointegration
- Subject
- Econometrics
- Subject
- International finance
- Subject
- Stock exchanges -- South Africa
- Subject
- Stock exchanges -- Developing countries
- Subject
- Stock exchanges -- Developed countries
- Subject
- Investments -- South Africa
- Subject
- Portfolio management -- South Africa
- Subject
- Investment analysis
- Subject
- Autoregression (Statistics)
- Date
- 2011
- Type
- Thesis
- Type
- Masters
- Type
- MCom
- Identifier
- vital:962
- Identifier
- http://hdl.handle.net/10962/d1002696
- Identifier
- Cointegration
- Identifier
- Econometrics
- Identifier
- International finance
- Identifier
- Stock exchanges -- South Africa
- Identifier
- Stock exchanges -- Developing countries
- Identifier
- Stock exchanges -- Developed countries
- Identifier
- Investments -- South Africa
- Identifier
- Portfolio management -- South Africa
- Identifier
- Investment analysis
- Identifier
- 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.
- Format
- 96 p., pdf
- Publisher
- Rhodes University, Faculty of Commerce, Economics and Economic History
- Language
- English
- Rights
- Msimanga, Nkululeko Lwazi
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