Abstract:
Purpose: The stock market performs a key role in the economic wellbeing of a country
by encouraging capital formation and economic growth. According to Pettinger (2016), it
reflects the economic conditions of the economy. Different studies are drawing different
conclusions about the impact of same factors on share price of different markets. In
Pakistan, the past few years have been hard on the fertilizer sector due to a lack of fuel
supplies, hefty taxation and high fuel costs. This study seeks to analyse the influence of
EPS, Cash DPS, BVPS, size of company and age of company (independent variables) on
share prices (dependent variable).
Methodology: The study employs the deductive approach and will attempt to identify the
causal (cause and effect) relationships between the independent and dependent variables
The population consists of seven companies listed in fertilizer sector of K.SE-100 Index.
Data is being obtained from all seven firms.
Findings: The results have found no evidence of a severe level of collinearity among the
chosen predictors of share price. A strong positive and statistically significant impact of
DPS, BVPS and size of the company has been detected while the impact of EPS and age
of company is insignificant on share prices of fertilizer companies listed in the KSE-100
Index. The independent variables explain 85.83% variation in share prices and the model
has statistically significant predictive capabilities.
Practical Implications: Investors can use DPS, BVPS and size of company for
predicting the changes in share prices of fertilizer companies for Pakistan. However,
further research needs to be carried out to determine the impact of EPS and age of
company.
