| dc.contributor.author | Heriati, Indah Storyna | |
| dc.date.accessioned | 2026-02-11T02:36:37Z | |
| dc.date.available | 2026-02-11T02:36:37Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | http://repository.president.ac.id/xmlui/handle/123456789/13583 | |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | President University | en_US |
| dc.relation.ispartofseries | Actuarial Science;021201800029 | |
| dc.subject | risk-return balance | en_US |
| dc.subject | portfolio optimization | en_US |
| dc.subject | Mean-Variance Efficient Portfolio | en_US |
| dc.subject | Data Envelopment Analysis | en_US |
| dc.title | OPTIMAL PORTFOLIO ANALYSIS ON BANKING STOCKS IN THE INDONESIAN STOCK EXCHANGE U S I N G TH E ME A N VA R I AN C E EF FI C IE NT PORTFOLIO (MVEP) METHOD AND THE DATA ENVELOPMENT ANALYSIS (DEA) APPROACH | en_US |
| dc.type | Thesis | en_US |