This paper attempts to determine the impact of dividend policy on stock price in Pakistan. A sample of 20 textile listed companies in PSX is examined for a period from 2010 to 2017. The empirical estimation is based on a panel regression analysis of the relationship between dividend policy and share price and also used fixed effect model. Secondary data were used by the researcher in the study. The study has taken share price as a dependent variable while the dividend policy is an independent variable. The dividend policy was measure by different proxy such as SDS, DPR, EPS, PAT and ROE. The result explained that the ROE and EPS have significant positive relationship with share price while the SDS, PAT and DPR have negative association with share price. Although the results are not robust enough as in the case of developed markets but are consistent with the behavior of emerging markets

Prior literature reports that macro-economic factors of a country affect stock exchange performance and thus firm performance. Recent strands of literature and the fluctuations in currency have a substantive effect on countries' economies. These fluctuations are also a cause of price fluctuations of imports and exports. One such factor which directly affects firm performance is the oil price fluctuations. Thus, this thesis empirically investigates the effect of oil price fluctuations on firm risk for the firms listed on PSX for the period 2012-2017. Secondary data is taken from SBP, Balance Sheet Analysis Database, Pakistan Stock Exchange and the company's website in some cases. Using Panel data, results show that oil prices increase firm risk (beta), which indicates that market participants react to change in oil prices and thus increases risks. The study indicates that policymakers need to control oil prices to keep firm risk in control and thus manage the market towards a better investment environment.

Stock markets are of prime importance for the stability and boosting of an economy; its development and formation of capital. An active and stable stock market induces effective and successful organizations. The stability of stock markets is always disturbed by fluctuations in certain macroeconomic variables. This study is an endeavor to find out the effect of these variables on the Pakistan stock exchange index both on long term as well as short term bases. Statistical tests were applied on the quarterly time series data from January 2004 to December 2018. The results of the study show that there is negative association among the rate of inflation and share price while the stock prices have positive association with exchange rate and rate of interest. Findings of this study could help the investors to gain positive returns from investment in stock market.

The use of organic cosmetics is gaining popularity in Pakistan due to associated health and environmental benefits. Consumers' preferences are rapidly shifting towards organic cosmetics because these products are based on natural ingredients. To analyze the gathered data of 300 female's convenience sampling technique was applied belonging to Faisalabad and Lahore. The data was collected about consumers' socioeconomic characteristics, consumption, purchase patterns with major factors of organic cosmetic consumer behavior and were analyzed using descriptive statistics and multiple regression techniques. The findings of the study revealed that three factors, health consciousness, environmental consciousness, and product quality information, impact significantly consumer behavior for organic cosmetics. Another factor needs for uniqueness showed a week impact on consumer behavior. This study provided valuable insights and recommendations to the industry about consumer behavior. It is suggested that marketers improve operational marketing policies by communicating the eco-friendly benefits of organic cosmetics.

Rice is the basic cereal crop after wheat; it is a major revenue generator in cash crops around the Khairpur Nathan Shah region. It is one of the rice cultivator regions in the Dadu zone, which is considered a prominent crop for its local economy. Climate change has a major effect on agriculture in the KN Shah area, also enforcing vulnerable conditions due to droughts and floods that have negative effects on production and seasonal cultivation. For assessing the rice crop, community-based survey data were collected along with remote sensing, using the GIS tool, through the Indicate the month of June and July 2022 crop data. It was used for the Normalized Difference Vegetation Index (NDVI) classification. The result demonstrated 0.16-0.34 values in rice in the month of June, while 0.26-0.54  values in July.