FİNANSAL PERFORMANS ANALİZİ İLE İFLAS TAHMİNİ
BANK FORECAST WITH FINANCIAL PERFORMANCE ANALYSIS

Summary/Abstract: Investigations into financial shortages and bankruptcy have been deepening for more than fifty years. The basis of these researches is the calculation of bankruptcy rates or bankruptcy risks by examining the financial performance of businesses. It is extremely important to calculate the bankruptcy risk of businesses as a result of both micro and macro models. In addition, recent developments in the field of modeling and artificial intelligence have further increased the topicality of related research. Bankruptcy can occur for a variety of reasons, depending on location, time, and other factors. A sensitive subject that responds quickly to such changes should always be fed the latest up-to-date information. The purpose of bankruptcy forecasting is to evaluate a company's financial condition and performance prospects. In addition, the main purpose of our article is to evaluate the accuracy of these models as a result of examining and applying traditional bankruptcy models in the Azerbaijani banking sector and to evaluate the applicability of machine learning and deep learning techniques, which are modern modeling methods, in our country. The reports of banks operating in the Republic of Azerbaijan, the reports of the Azerbaijan Banks Association and the Central Bank of the Republic of Azerbaijan were used to conduct research and investigate the validity of the hypotheses.

• Details
• Contents