Mean-Absolute Deviation-Beta Portfolio Optimization under Ambiguity: A Real-World Case Study
Publish place: 2nd International Conference on Challenges and New Solutions in Industrial Engineering and Management and Accounting
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSIEM02_808
تاریخ نمایه سازی: 27 تیر 1400
Abstract:
In this study, a new uncertain portfolio optimization model is proposed that is capable to be employed in the presence of fuzzy data and linguistic variables. It should be noted that mean (return), absolute deviation (non-systematic risk measure), and beta (systematic risk measure) as well as investment constraints are considered in the proposed fuzzy portfolio optimization (FPO) model. Also, to deal with uncertainty of financial data, the possibilistic programming (PP) and the chance-constrained programming (CCP) approaches are used. Finally, to show the efficacy and applicability of the proposed approach, the FPO model is applied in a realworld case study from Tehran stock market.
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Authors
Pejman Peykani
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Mohammad Namakshenas
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Neda Kavand
Department of Mathematics, Faculty of Basic Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
Mojtaba Nouri
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Mohsen Rostamy-Malkhalifeh
Department of Mathematics, Faculty of Basic Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran