Active Set Approach for a Bilevel Portfolio Optimization Model

This paper presents a methodology for determining the optimal portfolio that maximizes the Sharpe ratio within a bilevel framework. The upper-level of the model maximizes the Sharpe ratio of the portfolio, while the lower-level minimizes the risk for a given expected return, which is treated as a parameter. In the methodology, a gradient-based active set approach is proposed to solve the bilevel portfolio optimization model. The proposed method generates a sequence of portfolios converging to the optimal portfolio. To validate the method, the results are tested and verified using real-world portfolio datasets collected from the Bombay Stock Exchange, India. It is observed in the numerical experiment that the Sharpe ratio obtained in a bilevel framework is better than that of the traditional method.

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Publication Details

Journal
International Journal of Mathematical Engineering and Management Sciences
Published
2026-01-04
DOI
https://doi.org/10.33889/ijmems.2026.11.1.001
Primary Topic
Risk and Portfolio Optimization
Type
article
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article

Active Set Approach for a Bilevel Portfolio Optimization Model

Geetanjali Panda, Bhuvnesh Khatana
International Journal of Mathematical Engineering and Management Sciences
Risk and Portfolio Optimization
article

Active Set Approach for a Bilevel Portfolio Optimization Model

Geetanjali Panda, Bhuvnesh Khatana
article en

Abstract

This paper presents a methodology for determining the optimal portfolio that maximizes the Sharpe ratio within a bilevel framework. The upper-level of the model maximizes the Sharpe ratio of the portfolio, while the lower-level minimizes the risk for a given expected return, which is treated as a parameter. In the methodology, a gradient-based active set approach is proposed to solve the bilevel portfolio optimization model. The proposed method generates a sequence of portfolios converging to the optimal portfolio. To validate the method, the results are tested and verified using real-world portfolio datasets collected from the Bombay Stock Exchange, India. It is observed in the numerical experiment that the Sharpe ratio obtained in a bilevel framework is better than that of the traditional method.

International Journal of Mathematical Engineering and Management SciencesVol. 11(1)
Indian Institute of Technology Kharagpur (IN)
Openalex Percentile: Top 98%
Risk and Portfolio Optimization
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