Provide Profit and Loss Forecasting Model in the Tose’e Ta’avon Bank

Subject and Purpose of the Article: 

The present study is aimed at forecasting and modeling profit and loss in the Tose’e Ta’avon Bank through  conducting an experimental analysis.

The statistical population of the study includes the branches of the Tose’e Ta’avon Bank in Tehran, whose financial data from 2011 to 2020 were collected and been the basis of analysis. This research has used the  causal method through collecting information in the theoretical literature section based on library studies and testing hypotheses based on a  document analysis of financial statements. The statistical techniques used in this research are the combined data regression method, heuristic factor analysis, and Bayesian networks.

The data analysis results show that it is possible to predict profits and  losses of the Tose’e Ta’avon Bank based on the identified factors from the financial ratios. The findings also illustrate that the aforementioned factors can account for more than 90% of the changes in the financial ratios.