dc.description.abstract |
Stock market performance is generally considered to be the reflector of financial and
economic conditions of a country. There are number of macroeconomic and industry
related factors that potentially can affect the stock returns of the companies. The primary
purpose of this study is to examine the stock returns variation to specific macroeconomic
and industry variables by applying multi-factor model. The model consists of
macroeconomic and industry variables including market return, consumer price index,
risk free rate of return, exchange rate, money supply and industrial production. The study
attempts to determine which, if any, of the macroeconomic and industry variables are of
use in explaining the variability of stock returns of Pakistani Industries. The firms
relating to 09 different sectors are selected for this study on the basis of data availability,
profitability and performance on the Karachi Stock Exchange 100 index. These sectors
are Banking, Cement, Fertilizer, Automobile, Ghee, Pharmaceutical, Petroleum, Tobacco
and Textile. The stock prices data for the selected firms and economic variables obtained
for the maximum period of 10 years. Descriptive statistics performed for the temporal
properties of the data and Augmented Dickey Fuller (ADF) test applied to find out the
data stationarity. GARCH model used to analyze the risk and returns relationship. The
tests applied on the stock returns of each firm of the industry and on the data set of the
entire industry as well to generalize the results. An attempt was therefore made to
ascertain whether a multi index model was better than a single index model in explaining
the variation in stock returns of Pakistani Industries. The results reveal that market return
is mainly responsible for the stock returns variation, however the inclusion of other
macroeconomic and industry related variables has added additional explanatory power in
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describing the stock returns variation. It is evident from results that stock returns
volatility depicts time varying characteristics across the industries and there is some
statistical relationship between risk and return. It is found that industry stock returns are
more responsive to changes in economic conditions than firm level stock returns. Results
also indicate that stock returns of different industries behave differently in similar
economic conditions that acquaint investors about the risk diversification opportunity in
the stock market. The contribution of economic variables towards stock returns can help
researchers/practitioners/investors to understand the risk return relationship and pricing
of economic risk and for the legislators to undertake certain measures for the
improvement of economic conditions and hence stability and growth of the stock market
and economy. |
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