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Pre-active planning for sustainable growth based on a stochastic revenue trend model

https://doi.org/10.32324/2412-8945-2025-3-08-00

EDN: YNPKEI

Abstract

The subject of the study is the activity of an enterprise in conditions of economic uncertainty, competition and inflation. Its goal is to develop a method of hyper-long-term planning using a stochastic trend model of sustainable growth. Random fluctuations in the growth rate are often mistakenly recognized as significant ones, suitable for justifying management decisions, which leads to excessive focus on current results. The proposed method allows to implement a preactive approach to management, reducing the role of spontaneous decisions. The horizon of proactive planning is comparable to the life cycle of an enterprise.

About the Author

V. V. Belykh
Novosibirsk State University of Economics and Management
Russian Federation

Vasiliy V. Belykh — Candidate of Physico-Mathematical Sciences, Associate Professor, Department of Corporate Governance and Finance

Novosibirsk 



References

1. Akoff R. Planirovanie budushchego korporatsii [Planning the Future of a Corporation]: per. s angl. Moscow : Progress, 1985, 328 p.

2. Glinskiy V.V. Metody tipologii dannykh v sotsial'no-ekonomicheskikh issledovaniyakh [Methods of Data Typology in Social and Economic Research]: Dr. econ. sci. diss. Abstr. St. Petersburg, 2009, 35 p.

3. Nti I.K., Adekoya A.F., Weyori B.A. A systematic review of fundamental and technical analysis of stock market predictions, Artif Intell Rev, 2020, vol. 53, pp. 3007–3057. https://doi.org/10.1007/s10462-019-09754-z

4. Sezer O.B., Gudelek M.U., Ozbayoglu A.M. Financial time series forecasting with deep learning: A systematic literature review: 2005–2019, Applied soft computing, 2020, vol. 90. 106181. https://doi.org/10.1016/j.asoc.2020.106181

5. Chausova E.V. Postroenie trendovykh modeley prognozirovaniya sprosa na ugol' [Constructing Trend Models of Demand Forecasting for Coal], Vestnik Tomskogo gosudarstvennogo universiteta [Bulletin of Tomsk State University], 2000, no. 271, pp. 149–152.

6. Timofeev V.S., Kolesnikova A.Yu. Prognozirovanie prodazh predpriyatiya roznichnoy torgovli [Forecasting Sales of Retail Trade Enterprises], Ekonomika i matematicheskie metody [Economics and Mathematical Methods], 2009, vol. 45, no. 3, pp. 48–63.

7. Chirukhin V.A. Primenenie metoda naimen'shikh kvadratov dlya approksimatsii periodicheskikh protsessov pri postroenii prognozov [The Use of the Least Square Method for the Approximation of Periodic Processes in Forecast Construction], Zapiski Gornogo instituta [Papers of the Mining Institute], 2014, vol. 208, pp. 197–202.

8. Miller D., Friesen P.H. A longitudinal study of the corporate life cycle, Management science, 1984, vol. 30, no. 10, pp. 1161–1183. https://doi.org/10.1287/mnsc.30.10.1161

9. Jenkins D.S., Kane G.D., Velury U. The impact of the corporate life‐cycle on the value‐relevance of disaggregated earnings components, Review of Accounting and Finance, 2004, vol. 3, issue 4, pp. 5–20. http://dx.doi.org/10.1108/eb043411

10. Dickinson V. Cash flow patterns as a proxy for firm life cycle, The Accounting Review, 2011, vol. 86, no. 6, pp. 1969–1994. https://doi.org/10.2308/accr-10130

11. Belykh V. Multifactor Trend Model of Sustainable Company Growth in the Context of Competition and Inflation, Journal of Corporate Finance Research, 2024, vol. 18, no. 4, pp. 111–124. https://doi.org/10.17323/j.jcfr.2073-0438.18.4.2024.111-124

12. Medovnikov D.S., Rozmirovich S.D., Oganesyan T.K., Stepanov A.K., Mazurova S.A. Kompanii-«gazeli» v rossiyskoy ekonomike: ustoychivost' rosta, innovatsionnost', reaktsiya na krizisy [“Gazelle” companies in Russian Economy: Growth Sustainability, Innovativeness, Response to Crisis], Rossiyskiy zhurnal menedzhmenta [Russian Journal of Management], 2023, vol. 21, no. 2, pp. 164–197. https://doi.org/10.21638/spbu18.2023.202

13. Nissim D., Penman S.H. Ratio analysis and equity valuation: From research to practice, Review of accounting studies, 2001, no. 6, pp. 109–154. https://doi.org/10.1023/A:1011338221623

14. Soliman M.T. Using IndustryAdjusted DuPont Analysis to Predict Future Profitability, Working paper. Stanford University, 2004.

15. Berezinets I.V., Udovichenko O.M., Devkin A.A. Prognozirovanie rentabel'nosti rossiyskikh kompaniy s ispol'zovaniem otraslevoy modeli Dyupona [Forecasting Profitability of Russian Companies with the Usage of Industry DuPont Model], Rossiyskiy zhurnal menedzhmenta [Russian Journal of Management], 2016, vol. 14, no. 1, pp. 3–28.

16. Kobylko A.A. Strategiya predpriyatiya, ustoychivaya k krizisam: uroki pandemii [Business Strategy, Sustainable to Crises: Pandemic Lessons], Vestnik Sankt-Peterburgskogo universiteta. Menedzhment [Bulletin of Saint-Petersburg University], 2022, vol. 21, issue 1, pp. 3–18. http://doi.org/10.21638/11701/spbu08.2022.101

17. Likhutin P.N., Savchenko A.A. Opredelenie sushchestvennykh faktorov pri dekompozitsii rentabel'nosti sobstvennogo kapitala [Determination of Significant Factors at Decomposition of Profitability of Ownership Capital], Vestnik Novosibirskogo gosudarstvennogo universiteta ekonomiki i upravleniya [Bulletin of Novosibirsk State University of Economics and Management], 2017, no. 1, pp. 146–161.

18. Nikiforova N.A., Dontsova L.V. Analiz rezul'tativnosti ugledobyvayushchikh kompaniy [Analysis of Effectiveness of Coal Mining Companies], Ugol' [Coal], 2019, no. 11, pp. 36–42. http://dx.doi.org/10.18796/0041-5790-2019-11-36-42

19. Demidova E.G., Bogatov E.M. Modelirovanie struktury korporativnogo kapitala s primeneniem formuly prirashcheniy [Structure Modelling of Corporative Capital with the Use of Increments Formula], Voprosy ekonomiki [Economics Issues], 2023, no. 6, pp. 62–75. https://doi.org/10.32609/0042-8736-2023-6-62-75

20. Gahlon J.M., Gentry J.A. On the Relationship Between Systematic Risk and the Degrees of Operating and Financial Leverage, Financial Managemen, 1982, vol. 11, no. 2, pp. 15–23. https://doi.org/10.2307/3665021

21. Mandelker G.N., Rhee S.G. The Impact of the Degrees of Operating and Financial Lever-Age on Systematic Risk of Common Stock, Journal of Financial and Quantitative Analysis, 1984, vol. 19, no. 1, pp. 45–57.


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For citations:


Belykh V.V. Pre-active planning for sustainable growth based on a stochastic revenue trend model. Territory Development. 2025;(3 (41)):8-17. (In Russ.) https://doi.org/10.32324/2412-8945-2025-3-08-00. EDN: YNPKEI

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