An Empirical Study On The Relationship Between Dividend Changes & Future Earning Of The Kuala Lumpur Stock Exchange Listed Companies

An Empirical Study On The Relationship Between Dividend Changes & Future Earning Of The Kuala Lumpur Stock Exchange Listed Companies

This thesis is concerned with dividend signaling hypothesis which claims that dividends changes have information content and can be used to signal firms’ future prospects. Initially, it was found that dividend change did not support the signaling hypothesis and failed to indicate future earning dire...

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Main Author: Lee, Vooi Ling
Format: Thesis
Language:English
Published: 2004
Subjects:
HF5001-6182 Business
Online Access:http://eprints.usm.my/25715/1/AN_EMPIRICAL_STUDY_ON_THE_RELATIONSHIP_BETWEEN_DIVIDEND_CHANGES_%26_FUTURE_EARNING_OF_THE_KUALA_LUMPUR_STOCK_EXCHANGE_LISTED_COMPANIES.pdf
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spelling my-usm-ep.257152020-10-07T02:50:08Z An Empirical Study On The Relationship Between Dividend Changes & Future Earning Of The Kuala Lumpur Stock Exchange Listed Companies 2004 Lee, Vooi Ling HF5001-6182 Business This thesis is concerned with dividend signaling hypothesis which claims that dividends changes have information content and can be used to signal firms’ future prospects. Initially, it was found that dividend change did not support the signaling hypothesis and failed to indicate future earning direction. However when the dividend increased magnitude is taken into consideration, it signals a complex relationship. Small dividend increases will signal future earning increases; whereas large dividend increases will signal future earning decreases. 2004 Thesis http://eprints.usm.my/25715/ http://eprints.usm.my/25715/1/AN_EMPIRICAL_STUDY_ON_THE_RELATIONSHIP_BETWEEN_DIVIDEND_CHANGES_%26_FUTURE_EARNING_OF_THE_KUALA_LUMPUR_STOCK_EXCHANGE_LISTED_COMPANIES.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Siswazah Perniagaan
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic HF5001-6182 Business
spellingShingle HF5001-6182 Business
Lee, Vooi Ling
An Empirical Study On The Relationship Between Dividend Changes & Future Earning Of The Kuala Lumpur Stock Exchange Listed Companies
description This thesis is concerned with dividend signaling hypothesis which claims that dividends changes have information content and can be used to signal firms’ future prospects. Initially, it was found that dividend change did not support the signaling hypothesis and failed to indicate future earning direction. However when the dividend increased magnitude is taken into consideration, it signals a complex relationship. Small dividend increases will signal future earning increases; whereas large dividend increases will signal future earning decreases.
format Thesis
qualification_level Master's degree
author Lee, Vooi Ling
author_facet Lee, Vooi Ling
author_sort Lee, Vooi Ling
title An Empirical Study On The Relationship Between Dividend Changes & Future Earning Of The Kuala Lumpur Stock Exchange Listed Companies
title_short An Empirical Study On The Relationship Between Dividend Changes & Future Earning Of The Kuala Lumpur Stock Exchange Listed Companies
title_full An Empirical Study On The Relationship Between Dividend Changes & Future Earning Of The Kuala Lumpur Stock Exchange Listed Companies
title_fullStr An Empirical Study On The Relationship Between Dividend Changes & Future Earning Of The Kuala Lumpur Stock Exchange Listed Companies
title_full_unstemmed An Empirical Study On The Relationship Between Dividend Changes & Future Earning Of The Kuala Lumpur Stock Exchange Listed Companies
title_sort empirical study on the relationship between dividend changes & future earning of the kuala lumpur stock exchange listed companies
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Siswazah Perniagaan
publishDate 2004
url http://eprints.usm.my/25715/1/AN_EMPIRICAL_STUDY_ON_THE_RELATIONSHIP_BETWEEN_DIVIDEND_CHANGES_%26_FUTURE_EARNING_OF_THE_KUALA_LUMPUR_STOCK_EXCHANGE_LISTED_COMPANIES.pdf
_version_ 1747819957916270592

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