Evaluation of Private Banks using PROMETHEE Method

Abstract

. In this study, a range of multi-criteria decision-making approaches is used to analyze the performance of Indian private-sector banks. Data was collected and performance was evaluated by taking into account a variety of inputs and outputs using annual reports from the relevant banks. For data analysis, PROMETHEE, a crucial multi-criteria decision-making (MCDM) technique, is employed. The research indicates that HDFC is the private sector bank with the best performance and establishes a standard. By the implementation of MCDM techniques i.e. PROMETHEE ICICI is ranked first followed by HDFC at the second spot. Different methodologies have led to different rankings for other institutions. To extend the time range of analysis after the PROMETHEE rankings have been obtained, future studies on the performance of banks may compare various bank types. According to the findings, private sector banks should invest in areas that will provide income to improve their performance. Efficiency needs to be raised if businesses are to survive in the market and compete with the government and foreign institutions. These findings are beneficial to a wide range of participants, especially investors who want to comprehend the value of banks as possible investment targets. For the first time, scientists have combined MCDM strategies like PROMETHEE. MCDM techniques have been used to examine specific inputs and outputs for private sector banks to determine performance.