The relationship between share price of consumer products and industrial products with economic growth in Malaysia (1991- 2013) / Nor Juliana Saadin and Mohamad Hafiz Pheros

Saadin, Nor Juliana and Pheros, Mohamad Hafiz (2014) The relationship between share price of consumer products and industrial products with economic growth in Malaysia (1991- 2013) / Nor Juliana Saadin and Mohamad Hafiz Pheros. [Student Project] (Unpublished)

Abstract

This paper is a fresh attempt to investigate the relationship between stock market and economic growth in Malaysia. This study identifies whether Share Price of Consumer Products and Industrial Products have affected the economic growth or not. The previous study has shown that, there was homogenous result on the relationship of Share Price of Consumer Products and Industrial Products and economic growth. Share price (independent variable) data as the indicator of stock market performance was collected from Datastream database, and country’s gross domestic product (GDP) as the indicator of economic growth (dependent variable) from the website. In this study, we use Single Linear Regression Method from first quarter 1991 until fourth quarter 2013 of the share price.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Saadin, Nor Juliana
2011485978
Pheros, Mohamad Hafiz
2011516349
Subjects: H Social Sciences > HB Economic Theory. Demography
H Social Sciences > HG Finance > Investment, capital formation, speculation > Stock price indexes. Stock quotations
Divisions: Universiti Teknologi MARA, Melaka > Bandaraya Melaka Campus > Faculty of Business and Management
Programme: Bachelor of Business Administration (Hons) Finance (BA242)
Keywords: Stock market; Economic growth; Share price
Date: 2014
URI: https://ir.uitm.edu.my/id/eprint/28290
Edit Item
Edit Item

Download

[thumbnail of PPb_NOR JULIANA SAADIN BM M 14_5.pdf] Text
PPb_NOR JULIANA SAADIN BM M 14_5.pdf

Download (265kB)

Fulltext

Fulltext is available at:
  • Library Terminal Workstation (Digital Format) - Accessible via UiTM Libraries

ID Number

28290

Indexing

|

Statistic

Statistic details