Behavioral portfolio theory, developed by Shefrin and Statman in 2000, suggests that investors organize their assets into mental account layers based on specific goals, such as retirement or education. This approach contrasts with mean-variance theory, as investors display varying risk appetites across different layers, often seeking risk in potential upside while being risk-averse for downside protection. Recently, this theory has been integrated with mean-variance concepts to form mental accounting portfolio theory, which optimizes sub-portfolios for individual goals to achieve an overall efficient portfolio.