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Methodology for Constructing an Experimental Investment Strategy Formed in Crisis Conditions

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  • Vera Ivanyuk

    (Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, 125167 Moscow, Russian)

Abstract

This article proposes a neoclassical stock market portfolio based on the principles of dynamic response and constant adaptation to the market. The construction of a neoclassical investment portfolio begins with the conceptual development of an adaptive investment strategy. We suggest an algorithm for creating an adaptive investment portfolio. The conceptual model of the investment strategy is presented including the following mandatory components: evaluation, forecasting, investment, and adaptation. This model has the ability to adapt both in normal and in crisis periods of the market. As a description of the forecasting component, an additive mathematical model of the predictive ensemble is used, including seasonal, regression, and shock elements as well as a neural network.

Suggested Citation

  • Vera Ivanyuk, 2022. "Methodology for Constructing an Experimental Investment Strategy Formed in Crisis Conditions," Economies, MDPI, vol. 10(12), pages 1-19, December.
    • Handle: RePEc:gam:jecomi:v:10:y:2022:i:12:p:325-:d:1006134
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    References listed on IDEAS

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    1. Roll, Richard & Ross, Stephen A, 1980. "An Empirical Investigation of the Arbitrage Pricing Theory," Journal of Finance, American Finance Association, vol. 35(5), pages 1073-1103, December.
    2. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    3. Post, Thierry & Karabatı, Selçuk & Arvanitis, Stelios, 2018. "Portfolio optimization based on stochastic dominance and empirical likelihood," Journal of Econometrics, Elsevier, vol. 206(1), pages 167-186.
    4. Yang, Li & Zhao, Longfeng & Wang, Chao, 2019. "Portfolio optimization based on empirical mode decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    5. Zhang, Keyi & Gençay, Ramazan & Ege Yazgan, M., 2017. "Application of wavelet decomposition in time-series forecasting," Economics Letters, Elsevier, vol. 158(C), pages 41-46.
    6. Vera Ivanyuk, 2021. "Modeling of Crisis Processes in the Financial Market," Economies, MDPI, vol. 9(4), pages 1-17, October.
    7. Mohebbi, Negin & Najafi, Amir Abbas, 2018. "Credibilistic multi-period portfolio optimization based on scenario tree," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1302-1316.
    8. Taylor, Nick, 2019. "Forecasting returns in the VIX futures market," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1193-1210.
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