Academic Journal

A penalty decomposition algorithm for the extended mean-variance-CVaR portfolio optimization problem

التفاصيل البيبلوغرافية
العنوان: A penalty decomposition algorithm for the extended mean-variance-CVaR portfolio optimization problem
المؤلفون: Hamdi, A., Khodamoradi, T., Salahi, M.
بيانات النشر: World Scientific
المجموعة: Qatar University: QU Institutional Repository
مصطلحات موضوعية: cardinality constraint, Mean-variance-CVaR model, penalty decomposition method, short selling, transaction costs
الوصف: In this paper, we study mean-variance-Conditional Value-At-Risk (CVaR) portfolio optimization problem with short selling, cardinality constraint and transaction costs. To tackle its mixed-integer quadratic optimization model for large number of scenarios, we take advantage of the penalty decomposition method (PDM). It needs solving a quadratic optimization problem and a mixed-integer linear program at each iteration, where the later one has explicit optimal solution. The convergence of PDM to a partial minimum of original problem is proved. Finally, numerical experiments using the S&P index for 2020 are conducted to evaluate efficiency of the proposed algorithm in terms of return, variance and CVaR gaps and CPU times. 2023 World Scientific Publishing Company. ; Scopus
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: http://dx.doi.org/10.1142/S1793830923500210; http://hdl.handle.net/10576/47860
DOI: 10.1142/S1793830923500210
الاتاحة: http://hdl.handle.net/10576/47860
https://doi.org/10.1142/S1793830923500210
رقم الانضمام: edsbas.CB89D924
قاعدة البيانات: BASE
الوصف
DOI:10.1142/S1793830923500210