Abstract:
Stocks remain a highly sought-after investment, offering high-profit potential
alongside significant risks. An optimal portfolio seeks to maximize returns while
minimizing losses, achievable through methods like the Mean-Variance Efficient
Portfolio (MVEP) and Data Envelopment Analysis (DEA). This study demonstrates
that combining DEA and MVEP yields an efficient portfolio composition—BBCA
(87.1%), BMRI (5.9%), and ARTO (2.4%)—delivering a 0.03% return with 2.2%
risk, highlighting its effectiveness in balancing risk-return and asset utilization. The
integrated DEA-MVEP approach serves as a strategic model for stock selection and
portfolio management, particularly in banking. Investors are advised to evaluate not
only historical returns but also stock efficiency for optimal portfolio construction.