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Разработка И Апробация Цифровой Модели Принятия Эффективных Инвестиционных Решений Для Формирования Стратегий Развития Экономических Субъектов
[Building and testing a digital model for effective investment decisions to form strategies for development of economic entities]

Author

Listed:
  • Basharina, Olga
  • Baranova, Nina
  • Larin, Sergey

Abstract

Subject. Sanction restrictions sharply decreased possibilities to attract external borrowings and substantiated the expediency of internal investments. This necessitated software tools enabling calculations and investment decisions. The developed a digital model of ISPI (Information System Portfolio Investor) will help make smart investment decisions, including at the government level. Objectives. The study aims to build a digital model to identify the most attractive investment areas at the regional, country, and cross-country level. Methods. The ISPI model is based on the Markowitz portfolio theory, the Profitability-Risk Model (PRM), and optimization methods. For our calculations, we used yields on Major and Sector Indices of the UK, India, China, USA, France, South Africa for 2014–2021, in one-month increments. Results. Using the developed ISPI model, we constructed scatter plots of leading stock market indices and identified the leading sectors of national economies of the studied countries and the most attractive investment areas. We solved the problem of finding a global optimum for the studied countries, differentiated the leading economic sectors by the level of investment risk, determined that an international portfolio is the most preferable for investment. Conclusions. Our ISPI model helps investors identify a region or country for smart investments. The model enables to determine industries in which investing is most justified within the nearest investment horizon. The model also helps identify the most appropriate financial instruments for investing in individual countries.

Suggested Citation

  • Basharina, Olga & Baranova, Nina & Larin, Sergey, 2023. "Разработка И Апробация Цифровой Модели Принятия Эффективных Инвестиционных Решений Для Формирования Стратегий Развития Экономических Субъектов [Building and testing a digital model for effective in," MPRA Paper 119334, University Library of Munich, Germany, revised 28 Sep 2023.
    • Handle: RePEc:pra:mprapa:119334
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    References listed on IDEAS

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    1. John D. Burger & Francis E. Warnock & Veronica Cacdac Warnock, 2018. "Benchmarking Portfolio Flows," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 66(3), pages 527-563, September.
    2. Marco A. Haan & Dominic Hauck, 2023. "Games with possibly naive present-biased players," Theory and Decision, Springer, vol. 95(2), pages 173-203, August.
    3. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    4. Matthew G. Nagler, 2023. "Thoughts matter: a theory of motivated preference," Theory and Decision, Springer, vol. 94(2), pages 211-247, February.
    5. Luc Meunier & Sima Ohadi, 2023. "When are two portfolios better than one? A prospect theory approach," Theory and Decision, Springer, vol. 94(3), pages 503-538, April.
    6. Nicholas Apergis & Tasawar Hayat & Tareq Saeed, 2019. "The Role of Happiness in Financial Decisions: Evidence from Financial Portfolio Choice and Five European Countries," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(3), pages 343-360, September.
    7. Andrey I. Pilipenko & Vasily I. Dikhtiar & Nina M. Baranova, 2019. "'Financial stability' safeguarding: modelling the Russian budgetary policy," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 12(1), pages 85-99.
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    More about this item

    Keywords

    economic entity; economic development; ISPI digital model; effective investment solution.;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • O5 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies

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