Dynamic forecasting of financial bankruptcy using the Malm Quest method (Case Study: companies listed on the Tehran Stock Exchange )

It is important to assess the financial difficulties of companies because the failure of the company has many direct and indirect costs for stakeholders. Timely and accurate assessment and forecasting can help decision makers find the optimal solution and prevent financial distress. So far, paragliding has been used to assess financial distress. The patterns used in this field are very useful in the decisions of financial market participants. Efforts have always been made to accurately predict and evaluate these patterns using more advanced methods. In this regard, Lee et al. demonstrated in their recent study that using dynamic methods can be more accurate than previous methods. The MalmQuist model has been used to explain the financial helplessness of companies listed on the stock exchange, which shows that this method has a high ability to recognize the financial helplessness of companies and solves the inefficiency of previous methods. Accordingly, in order to further investigate the subject matter of the research, the problem is presented and the necessity of conducting the research is discussed.