Suchergebnisse

Benchmarking has been very important in measurement, comparison, and improvement. Important benchmarking indicators such as leverage, liquidity, stock performance, profitability, asset utilization and growth are used to examine the performance of various companies in different businesses. The current study is based on secondary data, which were collected from annual reports of 14 insurance companies of the Listed Pakistan Stock Exchange during the period of 2014-2018. For this purpose, the Technique for order Preferences by the Similarity to Ideal Solution (TOPSIS) based on Grey Relation Analysis (GRA) has been used. The findings of the study help managers of moderate growth and low growth insurance companies to formulate policies to improve their performance by looking at the policies of highly growing Insurance companies. The results concluded that overall ranking of insurance companies from 2014 to 2018, JLIL ranked 1st in overall performance in the year 2014. It is due to high net sales and total investment returns as compared to other insurance companies.

The purpose of this study is to analyze the dividend policy dynamics in context to firm specific and macroeconomic variables with stock price volatility in the financial sector of Pakistan. Panel data is used for the period 2006-2014 to identify the common, fixed, random and GMM effect. It is concluded that dividend payout ratio, market value, interest volatility and inflation volatility have positive significant correlation with price volatility. Common effect model shows that dividend payout and interest volatility has a significant positive impact on the share prices. Whereas fixed effect model is more appropriate and good fit than random effect model and model indicate that dividend payout ratio has significant positive impact and market volatility has significant negative impact on stock prices. GMM results also support the fixed and random effect outcomes with more robustness. This study significantly contributes in dividend policy decisions and elaborates the dynamic roll of micro and macro variables on stock price volatility in financial sector of Pakistan. ; peer-reviewed

This study is aimed to explore the Islamic calendar anomaly or lunar effect over the period of eleven years commencing from Zilhajj 1429 (January 2007) to Muharram 1440 (September 2018) on daily historical returns. This study has identified the essence of weak-form Efficient Market Hypothesis Fama (1965) in Pakistan, Turkey, Malaysia, Bangladesh, Iran, Egypt, Saudi Arabia, and Dubai. Moreover market return behavior and seasonal effects are identified by using the dummy regression model. It is identified that anomalous behavior is reality in long run aptitude in all Islamic economies and the average behavior is reflecting that markets have been inspired by the seasonal effects. Overall the market behavior reflects weak form of efficiency except Iran and Bangladesh. It is identified that the Gregorian Calander is static but the lunar calendar is dynamic and go across all the weathers. Weathers and temperatures may affect perception and psychology of investor.

This study is aimed to examine the impact of US News and exchange rate exposure on emerging economies of Pakistan, China, Turkey and Iran. Daily exchange rates have been used for the period Jan 1, 2003 to Dec 31, 2018 to identify the volatility in exchange rate exposure due to news effect. US News is modeled with variance equation respectively for each country exchange rate. GARCH (1,1) by Bollerslev (1986), and EGARCH (1,1) by Nelson (1991) models have been used to estimate the volatility of exchange rate dynamics. Results indicate that impact of US News is significantly positive on the exchange rate of Pakistan and China and the results of US news impact on Turkey and Iran are insignificant. Present study is helpful for investors, financial analysts and economic decision makers for understanding the changing dynamics of exchange rate volatility.

Purpose: Taxes are the primary source of government revenues. Through taxes, governments can increase the revenues needed for public spending. This study is aimed at investigating the determinants of tax collection and its impact on the economic growth of Pakistan. Design/Methodology/Approach: The secondary data has been taken for the years from 1990 to 2020 from different sources such as the World Bank and Pakistan Economic Survey. The regression analysis has been performed on the collected data. Tax collection is taken as the dependent variable, whereas gross domestic product per capita, exchange rate, import, export, unemployment rate, and inflation rate have been taken as independent variables. Findings: Results indicate a significant impact of GDP per capita, exchange rate, imports and exports on tax collection in Pakistan. Tax collection has a positive and significant impact on economic growth. Implications/Originality/Value: This study highlight the need to frame policies for increasing gross domestic product per capita, controlling inflation and unemployment for greater attraction of taxpayer for the sake of high tax collection. The high unemployment rate and inflation are the main barriers to tax collection and the country's better economic growth. This study will be helpful to related public-sector institutions in improving tax collection in Pakistan and the government should take necessary steps to improve and develop a strong mechanism to collect taxes.