Abstract:
Oil is an important international commodity and the basic units of important sectors like
industries, transportation, energy etc. of the economy. That‟s why it is considered as the
crucial and important factor of economical development of the country. The fluctuations in
crude oil prices are highly unpredictable so that many companies and economies faced
various challenges for making future policies. Oil price changes not only effect economic
activities but they also effect the prediction for the future stability of economic growth.
This research is analysis the effect of exchange rate variation (fluctuations in Pakistani
currency exchange rate with respect to US dollar) and the fiscal policy changes (increase and
decrease in taxes, subsidies and government expenditure) on the oil price volatility (short
term variations) of Pakistan. Furthermore, this research also analysis the impact of oil price
volatility and the macroeconomic variables on economic growth (economic development) of
Pakistan.Secondary data is collected from 1973 to 2014 and used for estimation of
coefficients from Institute of Economic Affair (IEA), International Financial Statistics (IFS),
World Bank (WB), Ministry of Petroleum & Natural Resources of Pakistan and Pakistan
Bureau of Statistics.Unit root test, Correlation test, GARCH (1,1) test,multiple linear
regression, Johenson co integration test,Granger Causality test,Vector autoregression (VAR),
Impulse Response function and Variance decomposition test are used for estimation of the
results.
GARCH (1,1) test define the exchange rate has not a significant relation with the local oil
price but fiscal policy effect and foreign oil price has a significant relation on the local oil
price. Afterward, linear regression describes the Public sector investment and Trade Balance
has significant and oil price volatility and private sector investment has insignificant effect
on gross domestic production of Pakistan. Johenson co integration test described the long run
relation among the variables. Granger Causality test indicate that oil price volatility does not
Granger cause on public sector investment and gross domestic production does not Granger
cause on public sector investment is significant. Except these relationship, all other variables
relationship exist and possible. Afterward, vector autoregression , impulse response function
and variance decomposition describe its value and conclude that the effect of other variables
was stable within 10 years and the major part on the variable is due to itself rather than other
variables.
Keywords:
Exchange Rate; Fiscal Policy; Oil Price Volatility; Economic Growth.