Thesis (M.Com. (Finance))--University of the Witwatersrand, Faculty of Commerce, Law and Management, School of Economic and Business Sciences, 2016 / This study aims to investigate the presence of the low market risk (beta) anomaly in the
Johannesburg Stock Market (JSE). Finance theory suggests that with higher return comes
higher risk. However, several studies have reported evidence of low risk anomaly in global
markets where portfolios containing low beta shares delivers superior risk adjusted returns
compared to market index and high beta shares' portfolio. This study will explore various risk return relationships on the JSE and test a variety of potential explanations of the anomalous behaviour of the low beta premium. Three explanations have been identified as potential factors that contribute to the persistence of the Low Beta Anomaly. These include; Net International Equity flows (NIEF), Idiosyncratic Risk and Market Concentration. The results are consistent with international literature indicating a persistent Low Beta Anomaly on the JSE. However, the results also indicate that in periods of turmoil, high beta shares outperform low beta shares i.e. during the Global Financial Crisis. Although some significant relationships are found between the low minus high beta differential and NIEF. NIEF is unable to suitably explain the anomaly. Idiosyncratic risk results are mixed depending on the model used to calculate the idiosyncratic risk estimates. Despite being a significant issue on the JSE, Market
concentration does not explain the Low Beta Anomaly. As the superior performance of the
low beta portfolios remains once the portfolios returns have been adjusted for the different
variables however magnitude ofthe outperformance ofthe low beta portfolio was to a lesser degree. / AC2016
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/21594 |
| Date | January 2016 |
| Creators | Wright, Tarryn |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | Online resource (89 leaves), application/pdf |
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