Case-Based Reasoning for Enhanced Financial Planning in China: A Framework for Adaptive Investment Strategies in a Digital Era

Case-Based Reasoning (CBR) is an advanced framework for financial planning in China's dynamic economic landscape. Unlike traditional models-Modern Portfolio Theory (MPT), Capital Asset Pricing Model (CAPM), and Value at Risk (VaR)-which have limited adaptability, CBR leverages historical data to provide a more responsive financial decision-making approach. This study evaluates CBR using statistical analyses, showing that it significantly outperforms MPT, CAPM, and VaR in adaptability, real-time data integration, risk management, and strategy formulation. The results indicate that CBR is the most robust model among those tested, making it well-suited for dynamic financial environments.