We survey the textual sentiment literature, comparing and contrasting the various information sources, content analysis methods, and empirical models that have been used to date. We summarize the important and influential findings about how textual sentiment impacts on individual, firm-level and...

This study predicts the cash holdings policy of Turkish firms, given the 20 selected features with machine learning algorithm methods. 211 listed firms in the Borsa Istanbul are analyzed over the period between 2006 and 2019. Multiple linear regression (MLR), k-nearest neighbors (KNN), support...

Prior research suggests that managers often fail to complete announced open market repurchase (OMR) plans due to uncertainty in the firm's future cash flows. Although high-ability managers should manage cash flows more effectively to complete share reacquisitions, there is little evidence to...

Using management earnings forecasts over the period 1996-2010, I find that the sensitivity of forecast revisions to contemporaneous stock returns is increasing in the amount of investors' private information in prices. This effect remains after controlling for various confounds and is robust to...

The present paper explores the possibility of forecasting company liquidity based on testing the coefficient of variability. Secondly, it analyzes static and dynamic liquidity measures to ascertain which are better at prediction in the traditional and technology-based sectors. It was assumed...