Application of Artificial Intelligence in Predicting and Managing Financial Distress: A Case Study of Listed Companies in Iran

Financial distress analysis is one of the essential and important topics in financial management, playing a vital role for investors, creditors, and other users of financial information. Predicting the likelihood of financial distress in companies before it occurs can provide valuable opportunities for managers in terms of risk management, as well as for investors and creditors in making better decisions. In this research, using data from manufacturing companies listed in Tehran Stock Exchange from ۲۰۱۱ to ۲۰۱۸ that have faced financial distress, the factors influencing financial distress were identified and, its prediction was examined using advanced Artificial Intelligence (AI) algorithms, including system dynamics and fuzzy logic. The results indicated that key variables such as production and demand played a decisive role in the occurrence of financial distress. These findings not only provided a tool for more accurate predictions of financial distress but also offered a framework for preventive policymaking in companies.

کلیدواژه ها:

Artificial intelligence (AI) ، Financial Distress ، Fuzzy logic ، system dynamics