Modeling for Measuring Corporate Financial Sustainability Using the Econophysics Method

Each set of wavelet coefficients contains part of the time series at different time scales. Implementing wavelet transforms by utilizing the best wavelets at the right levels will have a significant impact on financial analysis results. Therefore, the present study seeks to present a proposed model for measuring firm financial sustainability by using an economophysical method using a sample of 86 companies listed in Tehran Stock Exchange during 2015-2019. The results of the research hypothesis show that the prediction of financial sustainability based on the economophysical method can provide better results. According to the findings of the study, it can be stated that the dendrogram observed in the Dabshiz wavelet is more accurate in decoupling and consequently clustering.