Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Twitter’s effect on share price movements of the Johannesburg Stock Exchange

Dissertation (MBA)--University of Pretoria, 2013.

Saved in:
Bibliographic Details
Other Authors: Rabinowitz, David
Format: Thesis
Language:English
Published: University of Pretoria 2014
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613629941022720
access_status_str Open Access
author2 Rabinowitz, David
author_browse Rabinowitz, David
author_facet Rabinowitz, David
collection Thesis
dc_rights_str_mv © 2014 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 Dissertation (MBA)--University of Pretoria, 2013.
format Thesis
id oai:repository.up.ac.za:2263/41977
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:11.828Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
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:2263/41977 Twitter’s effect on share price movements of the Johannesburg Stock Exchange Rabinowitz, David ichelp@gibs.co.za Gussenhoven, Chad Jahannes UCTD Twitter Stock price forcasting Dissertation (MBA)--University of Pretoria, 2013. This research project examines the link between social media and its effect on stock exchanges and movement of stocks. The study uses Twitter as its primary social media platform and focuses on its effect on the Johannesburg Stock Exchange. The study examines various forms of social media and micro-blogging sites in its attempt to provide a thorough understanding of the role of social media within the market. In line with its exploration of social media, the study analyses User-Generated Content, Sentiment Analysis and the impact of Word-of-Mouth. A brief explanation of Algorithmic Trading, the Efficient Market Hypothesis, and the Adaptive Market Hypothesis is also provided. The information used to show the relationship between Twitter and the JSE was extracted using a quantitative survey answered by registered traders on the JSE. The survey aimed to ascertain the level of information pertaining to stock movement posted to the platform by these traders, and how these traders used that same information to make trading decisions. The results of the study show that Twitter and other micro-blogging sites have a level of determination in stock exchanges. This study shows that traders make some use of online information to inform their trading decisions on the Stock Market. The validity of this online information stems from the fact that traders place trust in other people and other users’ experience, as proven by Word of Mouth. The findings of this study were contrary to the researchers’ expectation that Twitter was widely used as an informant for trade decisions. What is deduced from the available findings is that while Twitter and other social media platforms do to some extent provide information for traders on the JSE in making trade decisions, it is not a wide-spread basis for movement of shares. zkgibs2014 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2014-09-11T06:57:13Z 2014-09-11T06:57:13Z 2014-04-30 2013 Mini Dissertation Gussenhoven, CJ 2013, Twitter’s effect on share price movements of the Johannesburg Stock Exchange, MBA Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/41977> http://hdl.handle.net/2263/41977 en © 2014 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
Twitter
Stock price forcasting
Twitter’s effect on share price movements of the Johannesburg Stock Exchange
title Twitter’s effect on share price movements of the Johannesburg Stock Exchange
title_full Twitter’s effect on share price movements of the Johannesburg Stock Exchange
title_fullStr Twitter’s effect on share price movements of the Johannesburg Stock Exchange
title_full_unstemmed Twitter’s effect on share price movements of the Johannesburg Stock Exchange
title_short Twitter’s effect on share price movements of the Johannesburg Stock Exchange
title_sort twitter s effect on share price movements of the johannesburg stock exchange
topic UCTD
Twitter
Stock price forcasting
url http://hdl.handle.net/2263/41977