رابطه عملیات سرمایه و ارزش بازار شرکت های لیست شده براساس الگوریتم های تصادفی فصلی

This paper analyzes the influence of capital operations on the performance of listed companies under different market conditions by combining various capital operations with market value management. Random Forest algorithm is adopted and other machine learning methods are used to compare. We find that capital operation is significantly related to market value management and different capital operations have different effects on companies in various conditions. The result shows Random Forest algorithm has the highest classification accuracy and is more stable under different thresholds. Our findings will help to establish a market or industry benchmark which provides a scientific basis and decision support to the target companies when they operate their capitals.