Authors - Masood Ahmed Shariff, Sushma R Abstract - In today’s complex financial environment, identifying optimal stock investments is challenging. This study applies Multi-Criteria Decision-Making (MCDM) techniques to evaluate NIFTY 50 stocks using nine financial indica-tors, including returns, P/E ratio, dividend yield, and market capitalization. Daily data from April 2020 to March 2025, sourced from the Prowess database, was analyzed. The Entropy Weighting Method ensured objective assignment of metric importance. Four MCDM models—TOPSIS, VIKOR, SAW, and COPRAS—were used to rank stocks. Ranking discrepancies led to the development of a hybrid model combining normalized ranks with entropy-based weights, creating a composite ranking. Spearman’s rank correlation helped compare the models. The hybrid approach enhances ranking consistency and supports data-driven investment decisions. This methodology can also be ap-plied to sectoral or global equity markets, offering a flexible tool for portfolio evaluation and financial analysis.
