March 2026 (published: 13.03.2026)
Number 1(64)
UDC 336.645.1
DOI 10.17586/2310-1172-2026-19-1-3-16
Simulation modeling of an investment project: concept and toolkit
Reference for citation: Lisitsa M.I. Simulation modeling of an investment project: concept and toolkit. Scientific journal NRU ITMO. Series «Economics and Environmental Management». 2026. № 1. Р. 3-16. DOI: 10.17586/2310-1172-2026-19-1-3-16.
Abstract. The subject of the research is the tools that exclude expert influence on the initial data and expert intervention in the process of simulation modeling of the object, as which the investment project is chosen in the context of its relevant parameters. They recognize the generated events in the form of net cash flow for period of time, the effect in the form of the net present value of the scenarios for the development of the investment project, the assessment of which requires the discount rate set by the investor, as well as the useful life in the form of the expected/required period of time. The study is based on the dialectical method of cognition in the context of methods of quantitative modeling, analysis of scientific sources, investment analysis and visualization of the results of the experiment. The purpose of the study is to substantiate the approach based on the concept of the decreasing time value of money and based on the entire set of scenarios for the formation of the effect in the process of simulation modeling of an investment project in connection with the final value of the expected/required time period for implementation. Hence, the objectives of the study are, firstly, to fix the assumptions and conditions for which the theoretical provisions put forward are correct, secondly, to confirm the existence of the problem of distortion of the results of simulation modeling on the basis of a review of scientific sources, thirdly, to substantiate the tools suitable for simulation modeling of an investment project, based solely on initial data (net cash flow for period of time, discount rate, Fourthly, in checking the operability of the proposed tools. The result of the study is to obtain a workable toolkit that does not distort the results of simulation modeling on the final volume of the entire set of scenarios for the formation of the effect in the field of investment design. This allows us to conclude that the proposed method is presumably suitable in other areas with a finite scope of the entire set of scenarios for achieving the result.
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Keywords: simulation modeling; investment project; threat/danger; scenario; outcome; probability; net present value; net cash flow; cash inflow; cash outflow.
References:
1. Anokhina Yu.A. Metod stsenariev v strategicheskom upravlenii // Sovremennye tendentsii v ekonomike i upravlenii: novyi vzglyad. 2010. № 1-2. S. 97-101. 2. Biryukov A.N. Imitatsionnoe modelirovanie kak element upravleniya riskami dlya ukrepleniya finansovogo polozheniya firmy // Innov: elektronnyi nauchnyi zhurnal. 2016. № 4. S. 1-8. 3. Biryukov A.N. Imitatsionnoe matematicheskoe modelirovanie prognozirovaniya finansovykh potokov na osnove analiza riska deyatel'nosti transportnoi firmy // Sovremennye nauchnye issledovaniya i razrabotki. 2018. №8. S. 36-42. 4. Brusakova I.A. Imitatsionnoe modelirovanie biznes-protsessov dlya tsifrovykh dvoinikov // Peterburgskii ekonomicheskii zhurnal. 2023. № 1. S. 51-61. 5. Zabolotnov D.A., Matrosova E.V. Primenenie imitatsionnogo modelirovaniya v programmnoi srede Anylogic dlya povysheniya effektivnosti upravleniya prodazhami // Vektor ekonomiki. 2023. № 5. S. 1-16. 6. Leuta I., Bezrukikh Yu., Mel'nikova E. Imitatsionnoe modelirovanie kak instrument upravleniya finansovymi proektami na lesopromyshlennykh predpriyatiyakh // RISK: Resursy, Informatsiya, Snabzhenie, Konkurentsiya. 2016. № 4. S. 108-113. 7. Orlov A.I. Raspredeleniya real'nykh statisticheskikh dannykh ne yavlyayutsya normal'nymi // Politematicheskii setevoi elektronnyi nauchnyi zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta. 2016. № 117. S. 71-90. 8. Orlova E.V. Imitatsionnaya model' upravleniya stokhasticheskimi finansovymi potokami predpriyatiya // Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki. 2012. № 5. S. 185-189. 9. Rozhkov I.M., Isaeva N.A., Zaitsev I.M., Larionova I.A., Kostyukhin Yu.Yu. Upravlenie proizvodimoi predpriyatiem dobavlennoi stoimost'yu s primeneniem imitatsionnogo modelirovaniya // Ekonomika promyshlennosti. 2018. T. 11. № 1. S. 44-51. 10. Khar'kov V.P. Veroyatnostnoe modelirovanie finansovykh rezul'tatov torgovykh operatsii metodom «Monte-Karlo» // Vestnik Natsional'nogo Instituta Biznesa. 2020. № 39. S. 244-248. 11. Chernyakhovskaya L.R., Nikulina N.O., Garaishin Sh.G., Malakhova A.I., Yarmukhametova G.I. Upravlenie biznes-protsessami na osnove rezul'tatov imitatsionnogo modelirovaniya i analiza problemnykh situatsii // Informatsionnye i matematicheskie tekhnologii v nauke i upravlenii. 2020. № 2. S. 73-83. 12. Shtele E.A., Vecherkovskaya O.B. K voprosu o ponyatii «effektivnost'» // Ekonomicheskii analiz: teoriya i praktika. 2017. № 5. S. 935-947. 13. Atyunkina I., Kirpikov A. Imitation Modeling as a Tool of Analytical Substantiation of Sales Policy // International Journal on Emerging Technologies. 2019. Vol. 10. № 2. P. 20-24. 14. Bulygina O.V., Vlasova E.A. Features of Building Hybrid Simulation Models in Actor Pilgrim // Journal of Applied Informatics. 2022. Vol. 17. № 1. P. 109-116. 15. Cieślukowski M., Garsztka P., Zyznarska-Dworczak B. The Impact of Robotification on the Financial Situation of Microenterprises: Evidence from the Financial Services Sector in Poland // Risks. 2022. Vol. 10. № 2. P. 38-49. 16. Emerson H. The Twelve Principles of Efficiency. New York: The Engineering Magazine, 1912. 423 p. 17. Fisher I. The Rate of Interest. New York: Macmillan, 1907. 442 p. 18. Huang Y., Li J., Shi V., Qi Y. Predicting the Impacts of the COVID-19 Pandemic on Food Supply Chains and Their Sustainability: A Simulation Study // Discrete Dynamics in Nature and Society. 2021. № 5. P. 71-94. 19. Janshanlo R.E., Noyanov M.E., Andybayeva G.T. Simulation of Company's Bankruptcy Probability Based on Catastrophe Theory // Indian Journal of Science and Technology. 2016. Vol. 9. №47. P. 10-19. 20. Sibgatullin T.A. Prospective Analysis of Company's Financial Results for Managerial Purposes // Innovation and Investment. 2020. № 4. P. 130-134. 21. Sickles R., Zelenyuk V. Measurement of Productivity and Efficiency. New York: Cambridge University Press, 2019. 601 p. 22. Sprague T.B. On the Value of Annuities payable Half-yearly, Quarterly, etc. (Part III)//Journal of the Institute of Actuaries. 1867. № 5. P. 305-324. 23. Williams J.B. The Theory of Investment Value. Cambridge, Massachusetts: Harvard University Press, 1938. 613 p.






