An empirical study on the inter-dependencies of the Kuala Lumpur stock exchange with other major stock exchanges / Ruzaidin Rosli

Rosli, Ruzaidin (1995) An empirical study on the inter-dependencies of the Kuala Lumpur stock exchange with other major stock exchanges / Ruzaidin Rosli. [Student Project] (Unpublished)

Abstract

This research analyze the relationship and inter dependencies between the Kuala Lumpur Stock Exchange (KLSE) with the major stock exchanges in the world, namely Hang Seng, Australian All Ordinaries, Dow Jones, Financial Times, and Nikkei. Six variables were identified for this analysis, they are KLSE (as the dependent variable) and Hang Seng, Australian All Ordinaries, Dow Jones, Financial Times, and Nikkei (as the independent variables). The data collected for this analysis is from 1990 to 1994. The result of this analysis found that the movements in the KLSE indices is influenced by the movements in the major markets overseas. It was concluded that there is some truth or validity in the public or investors belief that the Malaysian market is highly influenced by the major stock markets in the world.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Rosli, Ruzaidin
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Zainol Abidin, Amir
UNSPECIFIED
Subjects: H Social Sciences > HG Finance > Investment, capital formation, speculation > Stock exchanges. Insider trading in securities
H Social Sciences > HG Finance > Investment, capital formation, speculation > Stock price indexes. Stock quotations
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Business and Management
Programme: Advanced Diploma in Business Studies (Finance)
Keywords: stock, exchanges, Kuala Lumpur
Date: May 1995
URI: https://ir.uitm.edu.my/id/eprint/41151
Edit Item
Edit Item

Download

[thumbnail of 41151.pdf] Text
41151.pdf

Download (73kB)

Fulltext

Fulltext is available at:
  • Koleksi Akses Terhad | PTAR Utama | Shah Alam

ID Number

41151

Indexing

|

Statistic

Statistic details