Calibration of the impact interval of macroeconomic indicators on the price of stock transactions in the Iranian stock market using the cellular automata algorithm.

Document Type : Original Article

Authors
S.Alireza Ahmadi 1
Seyyed Ali Paytakhti Oskooe 2
Cyrus Cyrus Fakhimi Azar 3
Yunus Badavar Nahandi 4
1 Ph.D. Candidate in financial engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
2 Associate Professor, Department of Economics, Tabriz Branch, Islamic Azad University, Tabriz, Iran
3 Associate Professor, Department of Management , Tabriz Branch, Islamic Azad University, Tabriz, Iran
4 Assistant Professor, Department of Accounting, Tabriz Branch, Islamic Azad university, Tabriz, Iran.
10.22034/jik.2026.24009
Abstract
The aim of this research is to localize the range of influence of macroeconomic variables on the Tehran Stock Exchange market in order to predict the trends of stock price movement and the range of influence of macroeconomic indicators on the stock market, different industry groups and especially for each symbol. In this research, using the cellular automata algorithm, the variables of oil price, gold price, inflation rate, exchange rate, industrial production index and liquidity volume have been calibrated. The analyzed data as the statistical population are the transactions carried out in the Tehran Stock Exchange during the five- year period from 22/07/2016 to and 23/07/2021the information of economic indicators published on the website of Central Bank. It shows the stock market for 31, 26, 54, 32, 73 and 69 days respectively
Keywords
Cellular automata
calibration
macroeconomic variables
stock price

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