Very few studies have investigated the movement in stock returns that result due to changes in oil prices. In recent years due to cooling down of China, unveiled oil reserves of Iran, decreasing demand worldwide and discovery of shale gases the world has experienced a large fall in the oil prices. These changes are also affecting performance of manufacturing and other associated companies in countries all over the world. Pakistan has also been affected by these changes in many ways. Especially, (...) the returns on stock markets have been affected a lot by the variations in the oil prices. This paper using monthly data set from years 2014 to 2016 of the non-financial firms operated in Pakistan Stock Exchange, investigates the effect of variation in oil prices on returns on stock. Results from the panel data analysis indicate a negative relationship between the variables. Since, Pakistan is an oil importing, movement in the prices contribute towards affecting the production cost in a positive manner which in turn affects the execution of the enterprises as well as returns of the stocks negatively. (shrink)

To maintain the competitive edge and evaluating the needs of the quality app is in the mobile application market. The user’s feedback on these applications plays an essential role in the mobile application development industry. The rapid growth of web technology gave people an opportunity to interact and express their review, rate and share their feedback about applications. In this paper we have scrapped 506259 of user reviews and applications rate from Google Play Store from 14 different categories. The statistical (...) information was measured in the results using different of common machine learning algorithms such as the Logistic Regression, Random Forest Classifier, and Multinomial Naïve Bayes. Different parameters including the accuracy, precision, recall, and F1 score were used to evaluate Bigram, Trigram, and N-gram, and the statistical result of these algorithms was compared. The analysis of each algorithm, one by one, is performed, and the result has been evaluated. It is concluded that logistic regression is the best algorithm for review analysis of the Google Play Store applications. The results have been checked scientifically, and it is found that the accuracy of the logistic regression algorithm for analyzing different reviews based on three classes, i.e., positive, negative, and neutral. (shrink)

The COVID-19 outbreak has disturbed the victims' economic conditions and posed a significant threat to economies worldwide and their respective financial markets. The majority of the world stock markets have suffered losses in the trillions of dollars, and international financial institutions were forced to reduce their forecasted growth for 2020 and the years to come. The current research deals with the impact of the COVID-19 pandemic on the global stock markets. It has focused on the contingent effects of previous and (...) current pandemics on the financial markets. It has also elaborated on the pandemic impact on diverse pillars of the economy. Irrespective of all these destructive effects of the pandemic, still hopes are there for a sharp rise and speedy improvement in global stock markets' performance. (shrink)

The existing research aims to seek the herding effects on stock returns at the industry level in Pakistan Stock Exchange. Moreover, the relationship between stock returns and herding has been studied by taking some macroeconomic and fundamental control variables. Herding is actually imitating other’s behaviour. This phenomenon indicates a situation where the investors follow the crowed and ignores their personal information, despite knowing the correctness of their information. Herd behaviour may drive from fundamental factors leading to efficient markets. However, it (...) may not be associated with fundamental information causing unstable prices. The stock price data of PSX listed companies from 1999 to 2017 have been the point of focus. The underlying herding measure was the cross-sectional absolute deviation, proposed by Chang et al.. The significant analysis technique facilitating the current research is pooled mean group /panel autoregressive distributed lag approach. Findings revealed that some sectors are evident for positive effect of herding on stock returns, whereas some others are witnessed for its negative effects on stock returns, in both long run and short run. As far as the control variables are concerned, they demonstrated both significant and insignificant effects on stock returns in different sectors of PSX. The study has important implications for policymakers. (shrink)