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Investor sentiment as a market-timing tool
Mini Dissertation (MBA)--University of Pretoria, 2017.
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| Other Authors: | |
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2018
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| _version_ | 1867613698851340288 |
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| access_status_str | Open Access |
| author2 | de Carcenac, Daniel |
| author_browse | de Carcenac, Daniel |
| author_facet | de Carcenac, Daniel |
| collection | Thesis |
| dc_rights_str_mv | © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Mini Dissertation (MBA)--University of Pretoria, 2017. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/64842 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:17.184Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/64842 Investor sentiment as a market-timing tool de Carcenac, Daniel ichelp@gibs.co.za Adamson, Martin UCTD Mini Dissertation (MBA)--University of Pretoria, 2017. Studies in financial markets have moved away from seeking rational and numeric ways of valuing individual shares to investigating ways and means of quantifying investor behavior that in itself effects share prices. Central to the understanding of behavioural finance approaches is the role of investor sentiment. This research attempts to apply a new method of quantifying prevailing investor sentiment on the Johannesburg Stock Exchange, the South African Volatility Index, as a market-timing tool to combine momentum and mean reversion trading strategies. Synthetic portfolios were constructed and analysed using a time-series methodology. Momentum strategies with short holding periods of three months were found to generate the highest cumulative returns and the South African Volatility Index investigated to determine correlation with periods of poor performance of momentum portfolios in assessing its suitability as a market-timing tool. No significant relationship was established between investor sentiment as a leading indicator or contemporaneous effect with short term momentum returns. pa2018 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2018-05-11T09:02:36Z 2018-05-11T09:02:36Z 30-03-18 2017 Mini Dissertation Adamson, M 2017, Investor sentiment as a market-timing tool, MBA Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/64842> http://hdl.handle.net/2263/64842 en © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Investor sentiment as a market-timing tool |
| title | Investor sentiment as a market-timing tool |
| title_full | Investor sentiment as a market-timing tool |
| title_fullStr | Investor sentiment as a market-timing tool |
| title_full_unstemmed | Investor sentiment as a market-timing tool |
| title_short | Investor sentiment as a market-timing tool |
| title_sort | investor sentiment as a market timing tool |
| topic | UCTD |
| url | http://hdl.handle.net/2263/64842 |