Predicting the performance of the shares of companies listed in the Iraq Stock Exchange during the Covid 19 period according to the logistic regression approach

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 (2019-2021) The study sample included (30) companies and from different sectors in the Iraq Stock Exchange. The internal variable is considered as an independent variable and the performance of the stock is a dependent variable. 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. Hence, the recommendations that came with it, it is preferable to resort to logistic regression when it is difficult to stand on a general trend, or there is high volatility in relatively long periods of time