Analysis of Mechanisms of Production Investment Stimulation in an Imperfect Capital Market Based on a Mathematical Model

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Abstract

The problem of renewed market investment in the Russian real economy is closely related to the business environment state in the imperfect capital market in Russia and to the assessment of the profitability of investment projects. Difficulties in determining profitability in an imperfect monetary and credit system are associated with the significant discrepancy between the interest rates on deposits and loans and can be overcome by applying the Cantor–Lippman approach, which makes it possible to calculate the profitability of a pool of investment projects available to an investor. From the point of view of a production owner, market investment depends on the state of the business environment and competes with investment in consumption. The problem arises of estimating the profitability threshold at which private market investment is preferred to private consumption. We propose an approach to the solution of this problem in terms of a mathematical model of investment behavior of a production owner in an imperfect capital market. The model is formalized as an infinite-horizon optimal control problem with a state constraint. The solution of the problem is based on constructing a viscosity solution of the Hamilton–Jacobi–Bellman equation. It is shown that the investment strategy of a production owner can depend substantially on the business environment state. Based on the results of this study, an explanation is proposed for the transition from recovery growth to stagnation in the Russian economy in late 2007, which was accompanied by recession of investment activities in the manufacturing sector.

About the authors

N. K. Obrosova

Federal Research Center “Computer Science and Control,” Russian Academy of Sciences; Moscow Center of Fundamental and Applied Mathematics, Lomonosov Moscow State University; Moscow Institute of Physics and Technology (National Research University)

Email: nobrosova@ya.ru
119333, Moscow, Russia; 119992, Moscow, Russia; 141701, Dolgoprudnyi, Moscow oblast, Russia

A. A. Shananin

Federal Research Center “Computer Science and Control,” Russian Academy of Sciences; Moscow Center of Fundamental and Applied Mathematics, Lomonosov Moscow State University; Moscow Institute of Physics and Technology (National Research University)

Author for correspondence.
Email: alexshan@ya.ru
119333, Moscow, Russia; 119992, Moscow, Russia; 141701, Dolgoprudnyi, Moscow oblast, Russia

References

  1. Шананин А.А. Анализ финансового состояния инвестора на основе модели Кантора–Липмана // Тр. ИММ УрО РАН. 2020. Т. 26. № 1. С. 293–306.
  2. Петров А.А., Поспелов И.Г., Шананин А.А. Опыт математического моделирования экономики. М.: Энергоатомиздат, 1996.
  3. Петров А.А., Поспелов И.Г., Шананин А.А. От госплана к неэффективному рынку: математический анализ эволюции российских экономических структур. UK: The Edwin Mellen Press, 1999.
  4. Cantor D.G., Lipman S.A. Investment selection with imperfect capital markets // Econometrica. 1983. V. 51. № 4. P. 1121–1144.
  5. Cantor D.G., Lipman S.A. Optimal investment selection with a multitude of projects // Econometrica. 1995. V. 63. № 5. P. 1231–1240.
  6. Adler L., Gale D. Arbitrate and growth rate for riskless investments in a stationary economy // Mathematical F-inance. 1997. V. 7. № 1. P. 73–81.
  7. Sonin I.M. Growth rate, internal rates of return and turn pikes in an investment model // Economic Theory. 1996. V. 5. P. 383–400.
  8. Presman E.L., Sonin I.M. Growth rate, internal rates of return and financial bubbles. Moscow: CEMI Rus. Acad. Sci., 2000.
  9. Беленький В.З. Экономическая динамика: анализ инвестиционных проектов в рамках линейной модели Неймана–Гейла. М.: Рос. экон. шк., 2002.
  10. Ващенко М.П. Оценка доходности инвестиционных проектов в условиях неопределенности // Матем. моделирование. 2009. Т. 21. № 3. С. 18–30.
  11. Ващенко М.П., Шананин А.А. Оценка доходности пула инвестиционных проектов в модели оптимального инвестирования в непрерывном времени // Матем. моделирование. 2012. Т. 24. № 3. С. 70–86.
  12. Shananin A.A., Vashchenko M.P., Zhang Sh. Financial bubbles existence in the Cantor–Lippman model for continuous time // Lobachevskii J. Math. 2018. V. 39. № 7. P. 929–935.
  13. Шананин А.А. Математическое моделирование инвестиций на несовершенном рынке капитала // Тр. ИММ УрО РАН. 2019. Т. 25. № 4. С. 265–274.
  14. Шананин А.А. Анализ финансового состояния инвестора на основе модели Кантора–Липмана // Тр. ИММ УрО РАН. 2020. Т. 26. № 1. С. 293–306.
  15. Ramsey F.P. A mathematical theory of savings // Econ. J. 1928. № 38. P. 543–559.
  16. Obrosova N.K., Shananin A.A., Spiridonov A.A. A Model of investment behavior of enterprise owner in an imperfect capital market // Lobachevskii J. Math. 2022. V. 43. № 4. P. 1023–1036.
  17. Рудева А.В., Шананин А.А. Синтез управления в модифицированной модели Рамсея с учетом ограничения ликвидности. // Дифференц. уравнения. 2009. Т. 45. № 12. С. 1799–1803.
  18. Тарасенко М.В., Трусов Н.В., Шананин А.А. Математическое моделирование экономического положения домашних хозяйств в России // Ж. вычисл. матем. и матем. физ. 2021. Т. 61. № 6. С. 1034–1056.
  19. Кларк Ф. Оптимизация и негладкий анализ. М.: Наука, 1988.
  20. Bardi M. Capuzzo-Dolcetta I. Optimal control and viscosity solutions of Hamilton–Jacobi–Bellman equations. Boston: Birkhauser, 1997.

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Copyright (c) 2023 Н.К. Обросова, А.А. Шананин

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