Studying and analyzing the external determinants of the returns of shares of companies listed on the Iraq Stock Exchange according to the logistic regression approach during the period 2016-2021

Abstract

This study aims to use the binary logistic regression model to analyze the stock performance of the companies listed in the Iraq Stock Exchange during the period from (2016-2021) The study sample included (30) companies and from different sectors in the Iraq Stock Exchange. External variables as an independent variable, and the performance of the stock as a dependent variable, and the ratios were, in order, as follows(share turnover rate), (issued shares), (listed shares), (transactions), (value traded), (sessions) included. It was noted that there was a slight effect of some determinants such as the determinant of the value of trading transactions and the number of shares listed in the market, which were directly related to a weighting relationship with achieving good performance in the shares. Among the most important recommendations, we recommend conducting future studies on the stock's performance determinants (internal and external) and working to include the largest number of determinants in order to determine the position of the largest possible number of determinants that affect the stock's performance in a way that supports the investor's decision