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...

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...