This paper shows that CEO tweets contain informational content on the U.S. stock markets and provide investors with value-relevant information on predicting the stock price movement. We create a large, unique sample of CEO users on Twitter, extract hashtags and sentiments that can be used as...

Predicting the stock price has always been a topic of great interest to both investors and researchers. Machine learning algorithms combined with massive volumes of financial data have proven to be useful tools for stock prediction. However, as the efficient market hypothesis says, market cannot...

Stock market has fascinated thousands of investors’ hearts from entire globe. Prediction of the stock exchange data is main monetary subject which has involvement of supposition that, there is some predictive relation between past and future stock returns. An every indusial should know that...

We show empirically that a one standard deviation increase in customer countries realized return is associated with a 0.2 standard deviation increase in supplier country return, and the effect is stronger when trade flows are larger