The Impact of Artificial Intelligence Indicators on The Iraqi Stock Market for The Period (2021-2024)

Abstract

This study aims to measure and analyze the impact of artificial intelligence on trade volume in Iraq during the period 2021 to 2024 using quarterly data. The study is based on relevant theoretical foundations, economic theories, and previous empirical studies. To achieve its objectives, the research employs a simple linear regression model to examine the relationship between artificial intelligence and trade volume over time. Quarterly data covering the period from 2021 to 2024 were analyzed using modern econometric techniques to investigate the relationships among the study variables. The findings provide reliable and unbiased estimates, contributing to a better understanding of the effectiveness of artificial intelligence in influencing trade activities and the speed of adjustment toward long run equilibrium. The estimated adjustment coefficient indicates that the system requires approximately 1.78 periods to return to its equilibrium state following a short run disturbance.