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Designing a model of the financial dynamics system in order to predict performance variables in selected companies admitted to the Tehran Stock Exchange.
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Ramin Kargar1   , Ali Bayat2 , Ali Mohammadi3 , Mehdi Mohammadi3 |
1- PhD student of accounting department, Zanjan branch, Islamic Azad University, Zanjan, Iran.
2- Associate Professor of Accounting Department, Zanjan Branch, Islamic Azad University, Zanjan, Iran. , Ali.bayat22@yahoo.com
3- Assistant Professor, Department of Accounting, Zanjan Branch, Islamic Azad University, Zanjan, Iran. |
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Abstract: (269 Views) |
The purpose of this research is to design a financial dynamics system model in order to predict performance variables in selected companies admitted to the Tehran Stock Exchange. To conduct an experimental test of research data, the financial information of newly entered companies in the Tehran Stock Exchange has been considered in a period of 5 years from 2015 to 1400. This research is practical and after collecting data and sorting the data in Excel, Vansim modeling software was used to test the research questions and simulate the model. The modeling results showed that stock prices change under the influence of supply and demand. If the performance of a company is appropriate and has a favorable net cash flow, by increasing production and investments, it can improve the variables affecting its financial system and thus increase the attractiveness of its shares and the demand for its shares, as well as companies Newly admitted in the long term as their stock price increases and their stock attractiveness increases, the amount of cash flow inflows into their system increases and this leads to their performance in the market.
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Article number: 17 |
| Keywords: financial dynamics model, stock price, cash flows |
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Full-Text [PDF 784 kb]
(173 Downloads)
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Article type: Research |
Subject:
General
Received: 2023/06/21 | Accepted: 2023/10/2 | Published: 2023/10/2
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kargar R, bayat A, mohammadi A, mohammadi M. Designing a model of the financial dynamics system in order to predict performance variables in selected companies admitted to the Tehran Stock Exchange.. mieaoi 2023; 12 (44) : 17 URL: http://mieaoi.ir/article-1-1645-en.html
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