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Information Journal Paper

Title

A Stochastic Programming Framework for Multi-period Portfolio Optimization

Pages

  287-315

Abstract

 This paper presents a Scenario-based multistage stochastic programming model to deal with Multi-period portfolio optimization problem with cardinality constraints and proportional transaction costs. The presented model aims to minimize investor's expected regret, while setting a minimum level of expected return. To generate the Scenario Tree of stochastic parameters, a Random walk model based on Johnson transformation and a sampling procedure is used. To implement the Scenario Tree generation method, historical returns of 28 domestic indices are used. Then, the Scenario Tree of stochastic parameters are used to solve the proposed multistage stochastic programming model. In addition, the impact of transaction costs, minimum expected returns and predetermined target wealth are investigated. Numerical results show that transaction costs, minimum expected returns and target wealth have a direct impact on expected regret. Finally, back testing simulation is used to assess and analyze the impact of the proposed approach in a dynamic, multi-period setting.

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  • Cite

    APA: Copy

    DAVARI ARDAKANI, HAMED, & AHMADI, ARDESHIR. (2020). A Stochastic Programming Framework for Multi-period Portfolio Optimization. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 17(55 ), 287-315. SID. https://sid.ir/paper/389905/en

    Vancouver: Copy

    DAVARI ARDAKANI HAMED, AHMADI ARDESHIR. A Stochastic Programming Framework for Multi-period Portfolio Optimization. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2020;17(55 ):287-315. Available from: https://sid.ir/paper/389905/en

    IEEE: Copy

    HAMED DAVARI ARDAKANI, and ARDESHIR AHMADI, “A Stochastic Programming Framework for Multi-period Portfolio Optimization,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 17, no. 55 , pp. 287–315, 2020, [Online]. Available: https://sid.ir/paper/389905/en

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