artificial intelligence algorithm

Profit is one of the financial statement items that significantly impact user decision-making and has received a lot of attention. Evaluating goal achievement is one of the essential aspects of any economic activity. With the increasing progress of economic activities and the need for more accurate evaluation methods to reality and complete older methods, this issue undoubtedly enters a new field. Economic value added is a performance measure that accurately calculates how a company's value increases or decreases, considering the opportunity cost of shareholders and the time value of money. This research aims to identify the most influential factors for explaining economic and accounting profit using an artificial intelligence approach. There is no such internal research given the subject. The financial data of 127 companies from 2011 to 2019 was used to test the hypotheses. The findings indicate that the variables "profit quality," "profit stability," "profit predictability," "profit smoothing," "profit transparency," "close proximity to cash," "awareness," "conservatism," and "timeliness" have a significant relationship with economic and accounting profit. However, there is no meaningful relationship between economic profit and accounting profit Profit is one of the financial statement items that significantly impact user decision-making and has received a lot of attention. Evaluating goal achievement is one of the essential aspects of any economic activity. With the increasing progress of economic activities and the need for more accurate evaluation methods to reality and complete older methods, this issue undoubtedly enters a new field. Economic value added is a performance measure that accurately calculates how a company's value increases or decreases, considering the opportunity cost of shareholders and the time value of money. This research aims to identify the most influential factors for explaining economic and accounting profit using an artificial intelligence approach. There is no such internal research given the subject. The financial data of 127 companies from 2011 to 2019 was used to test the hypotheses. The findings indicate that the variables "profit quality," "profit stability," "profit predictability," "profit smoothing," "profit transparency," "close proximity to cash," "awareness," "conservatism," and "timeliness" have a significant relationship with economic and accounting profit. However, there is no meaningful relationship between economic profit and accounting profit and the variable "Profit relevance."and the variable "Profit relevance."

Uncertainty in the capital market means the difference between the expected values ​​and the amounts that actually occur. Designing different analytical and forecasting methods in the capital market is also less likely due to the high amount of this and the need to know future prices with greater certainty or uncertainty. In order to capitalize on the capital market, investors have always sought to find the right share for investment and the right price to buy and sell, and so all the predicted models always seek to answer the three basic questions, i.e., which share, to what extent When and at what price to buy or sell. Before answering the answers given to these questions, you have to answer a more serious question. Including whether forecasting financial markets is possible. Accordingly, in this research, using data mining, we proposed a method for predicting changes in the total stock index of Tehran stock exchanges. The purpose of this research is in the field of applied research. In terms of its implementation, the research is based on a causal research that is carried out using a data collection database. Based on the results obtained from this study on the best decision tree algorithm with respect to the accuracy of 94% of the C & R Tree algorithm, it can be said that this algorithm can be better than predicting stock price changes. Also, using decision tree can also predict changes in the price of the payment.