نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
Considering the importance of stock price synchronicity as an indicator of the information content of the accounting system and a measure for efficiency of the market, this research aims to explaining the effect of financial criteria on stock price synchronicity by meta-heuristic algorithm. The data collection method employed was survey-based and library studies. The study population of this research consists of 167 companies listed on the Tehran Stock Exchange from the 2011 to the end of 2021, which were selected randomly and data were analyzed by meta-heuristic algorithms of Invasive Weed Optimization and Particle Swarm Optimization using MATLAB 2016 and Mini Tab software. Findings indicate that the IWO algorithm is more accurate than PSO algorithm in estimating the coefficients of financial factors affecting price synchronicity. Some financial factors have a positive impact on price synchronicity while others have a negative impact. Information asymmetry has a negative effect on stock price synchronicity; Operating profit margin has a positive effect on stock price concurrency; The turnover ratio of fixed assets has a positive effect on the synchronicity of stock prices; Financial leverage has a positive effect on stock price synchronization; Company size has a positive effect on stock price synchronicity; The market value added has a negative effect on the synchronicity of stock prices.
کلیدواژهها English