Quality awards and market reactions: The case of Malaysia / Hasnizahanim Masilan

Masilan, Hasnizahanim (2007) Quality awards and market reactions: The case of Malaysia / Hasnizahanim Masilan. [Student Project] (Unpublished)

Abstract

The purpose of this study is to identify the effect of quality award announcement the stock performance in Malaysia from the year Of 1996 until 2006, Quality Management Excellence Award (QMEA) has beet' chosen as the type Of quality award. Three methodologies are this study consists Of Event Study Methodology, Capital Assets pricing Model (CAPM) and & Jensen'S Index, The data used in this study consist of the data Bursa Malaysia Composite Index (BMCI), Treasury Dills, of stocks and also daily closing prices of companies Winning the Quality Management Excellence Award (QMEA) from year Of 1996 until 2006,
It was found that results were consistent with findings of previous researches, suggesting the absence of abnormal returns for winner companies. The evidence suggests that the stock market is semi-strong efficient with respect to effect announcement of winning the Quality Management Excellence Award (QMEA) on its recipients.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Masilan, Hasnizahanim
2005744092
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Mohamed Abdul Hasan, Salimah
-
Subjects: H Social Sciences > HG Finance > Profits. Corporate profits
H Social Sciences > HG Finance > Investment, capital formation, speculation > Stock price indexes. Stock quotations
Divisions: Universiti Teknologi MARA, Johor > Segamat Campus > Faculty of Business and Management
Programme: Bachelor of Business Administrations (Finance)
Keywords: Stock market, Corporations, UiTM Cawangan Johor
Date: 2007
URI: https://ir.uitm.edu.my/id/eprint/33465
Edit Item
Edit Item

Download

[thumbnail of 33465.pdf] Text
33465.pdf

Download (223kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

33465

Indexing

Statistic

Statistic details