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Empirical evidences of stock split market effects

Includes abstract.

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Bibliographic Details
Main Author: Mhuru, Trust Taruona
Other Authors: Guo, Renkuan
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2014
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access_status_str Open Access
author Mhuru, Trust Taruona
author2 Guo, Renkuan
author_browse Guo, Renkuan
Mhuru, Trust Taruona
author_facet Guo, Renkuan
Mhuru, Trust Taruona
author_sort Mhuru, Trust Taruona
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/6077
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:13.838Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/6077 Empirical evidences of stock split market effects Mhuru, Trust Taruona Guo, Renkuan Mathematics of Finance Includes abstract. Includes bibliographical references. Under normal financial market circumstances (i.e., not under the shadow of financial crisis) it iscommon to believe that buying shares from large institutions leads to high profit. This is becausethe shares are of high trading value due to the solid financial foundation and superiorperformances of large institutions or companies. In contrast to these traders' belief, largecompanies often exercise "stock split" to strengthen the confidence on the company and encourage more investments in the company. A "stock split" increases the number of shares outstanding without increasing the company's capital. A conjecture is that a "stock split" action will increase the market liquidity because of the price decrease of each share; consequently, market trading activities would be intensifying such that log-return will be higher and the volatility also higher accordingly. The financial market literature shows that the impacts of "stock split" were controversial. In other words, the influences on the market of "stock split" did not always behave as the management expected. In this thesis, we intend to use limited available stock split data from NASDAQ to explore some empirical evidences on the impacts of "stock split". We also propose a DEAR-based trend analysis in log-return and market volatility measured by daily trading range for technical analysis on "stock split" impacts. 2014-08-13T13:22:39Z 2014-08-13T13:22:39Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/6077 eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science University of Cape Town
spellingShingle Mathematics of Finance
Mhuru, Trust Taruona
Empirical evidences of stock split market effects
thesis_degree_str Master's
title Empirical evidences of stock split market effects
title_full Empirical evidences of stock split market effects
title_fullStr Empirical evidences of stock split market effects
title_full_unstemmed Empirical evidences of stock split market effects
title_short Empirical evidences of stock split market effects
title_sort empirical evidences of stock split market effects
topic Mathematics of Finance
url http://hdl.handle.net/11427/6077
work_keys_str_mv AT mhurutrusttaruona empiricalevidencesofstocksplitmarketeffects