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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

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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


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