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Formulating the Concept of an Investment Strategy Adaptable to Changes in the Market Situation

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  • Vera Ivanyuk

    (Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, 125993 Moscow, Russia
    Department of Higher Mathematics, Bauman Moscow State Technical University, 105005 Moscow, Russia)

Abstract

The study aims to develop a dynamic model for the management of a strategic investment portfolio, taking into account the impact of crisis processes on asset value. A mathematical model of a dynamic portfolio strategy is developed, and guidelines for framing a long-term investment strategy based on the current state of the investment market are formalized. An efficient method of long-term ensemble forecasting to increase the accuracy of predicting financial time series is elaborated. A methodology for constructing and rebalancing a dynamic strategic investment portfolio based on a changing portfolio strategy that results from assessing the current market state and forecast is developed. The obtained strategic portfolio model has been estimated empirically based on historical data and its rate-of-return characteristics have been compared with those of the existing conventional models used in strategic investment.

Suggested Citation

  • Vera Ivanyuk, 2021. "Formulating the Concept of an Investment Strategy Adaptable to Changes in the Market Situation," Economies, MDPI, vol. 9(3), pages 1-19, June.
    • Handle: RePEc:gam:jecomi:v:9:y:2021:i:3:p:95-:d:580663
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    References listed on IDEAS

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    Cited by:

    1. Vera Ivanyuk, 2022. "Proposed Model of a Dynamic Investment Portfolio with an Adaptive Strategy," Mathematics, MDPI, vol. 10(23), pages 1-19, November.
    2. Vera Ivanyuk, 2021. "Modeling of Crisis Processes in the Financial Market," Economies, MDPI, vol. 9(4), pages 1-17, October.
    3. Sergey Korchagin & Ekaterina Romanova & Petr Nikitin & Denis Serdechnyy & Konstantin V. Bublikov & Irina Bystrenina, 2022. "Mathematical Modeling of Dielectric Permeability and Volt-Ampere Characteristics of a Semiconductor Nanocomposite Conglomerate," Mathematics, MDPI, vol. 10(4), pages 1-7, February.
    4. Oleg Krakhmalev & Nikita Krakhmalev & Sergey Gataullin & Irina Makarenko & Petr Nikitin & Denis Serdechnyy & Kang Liang & Sergey Korchagin, 2021. "Mathematics Model for 6-DOF Joints Manipulation Robots," Mathematics, MDPI, vol. 9(21), pages 1-11, November.
    5. Apostolos Chalkis & Emmanouil Christoforou & Ioannis Z. Emiris & Theodore Dalamagas, 2021. "Modeling asset allocations and a new portfolio performance score," Digital Finance, Springer, vol. 3(3), pages 333-371, December.

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