Irfan Lal

Test of Okun’s Law in Some Asian Countries Co-Integration Approach

The objective of this paper is to estimate the Okun’s coefficient, and to check the validity of Okun’s law in some Asian countries, whether it is valid or not, for this purpose we have used the time series annual data during the period 1980-2006. Engle Granger (1987) co integration technique is employed to find out long run association between variables and error correction mechanism (ECM) is used for short run dynamic. After getting empirical evidences it can be said that Okun’s law interpretation may not be applicable and also the principle of NAIRU does not hold its validity in some Asian developing countries. Our results have also supported to Noble Prize awarded Austrian economist Paul Krugman.

Effects of Financial Structure and Financial Development on Economic Growth: A Case Study of Pakistan

The object behind this study is to explore the long run association between economic growth and financial structure in Pakistan context. For this purpose we have used the data from the period of 1975 to 2008, and applied Johansen cointegration technique to find out the long run association among the selected variables. Weighted sum of structure activity and structure size of the financial sector is used as a proxy of financial structure. The study finds that the proxy of financial structure is positively correlated with economic growth. The result also pointed out that the channel of transmission mechanism of financial development to growth is efficient to the financial sector not the volume of investment.

Determinant of Return on Assets and Equity and Industry Wise Effects: Evidence from KSE (Karachi Stock Exchange)

The prime purpose of this research is to find out that from the components of Dupont identity of Return on Equity which component is most consistent or volatile among profit margin, total assets turnover and equity multiplier in Fuel and Energy Sector, Chemicals Sector, Cement Sector, Engineering Sector, Textiles Sector and Transport and Communication Sector of KSE 100 index. The purpose of the study was served by taking data from 2004 to 2009 of 51 companies (falling under six mentioned industries) of KSE 100 as Paradigm of Panel Data. The F-Statistics of One Way ANOVA (Analysis of Variance) show that it is Assets Turnover which significantly varies from industry to industry whereas Equity Multiplier and Profit Margin are not much volatile among indifferent industries. Moreover, Adjusted R Square in Panel OLS Analysis was confirming Industry Effect on Newly established firms that they can have the benefit of profitability if they are from Fuel and Energy Sector, Cement Sector and Transport and Communication Sector whereas others Sectors such as Chemicals Sector, Engineering Sectors and Textiles Sectors does not have that leverage.