Asset Allocation and Risk Assessment in the Securities Portfolio Management System
https://doi.org/10.26794/2587-5671-2025-29-2-94-106
Abstract
The agro-industrial complex is an important component of the economy. However, this sector is characterized by a complex structure, limited resources and dependence on government actions. For these reasons, portfolio management in the agro-industrial sector requires special attention when developing the investment strategy. In this regard, the study of the strategy and methodology of managing the securities portfolio of the agro-industrial complex is an urgent topic in the context of restructuring of the Russian economy. The main task in managing the securities portfolio is to attract the financial resources of the company for the needs of organizations and to increase their economic activities. Investment portfolio in the market of financial instruments is an independent product, its implementation in full or in part brings profit to the investor when he makes investments of monetary resources on the stock exchange. As a rule, the securities market implements an asset portfolio with established proportions of profitability and risk, the indicators of which may improve or worsen during the management process. As part of structural asset allocation development and risk assessment, the authors set out to explore various approaches to developing mechanisms for managing securities portfolio in the agro-industrial sector in order to maximize profits for the investor. The subject of the study is approaches to managing securities portfolio in the agro-industrial sector, data analysis methods used in conducting the study, as well as possible investment strategies in this sector. The methodological basis of this work is the economic and statistical methods of information processing, as well as mathematical modeling. Based on the data obtained, it is concluded that new data in the field of securities portfolio management in the agro-industrial sector allow investors to make optimal and profitable decisions when choosing investment strategies based on a risk-based approach. As a result, the current state of the agro-industrial complex was studied and the risks of the securities portfolio of the agro-industrial complex of Russia were assessed, recommendations for the formation of a securities portfolio in the agro-industrial sector for the future were developed.
About the Authors
L. I. YuzvovichRussian Federation
Larisa I. Yuzvovich — Dr. Sci. (Econ.), Prof., Head of the Department of Finance, Money Circulation and Credit
Yekaterinburg
M. I. Lvova
Russian Federation
Maya I. Lvova — Cand. Sci. (Econ.), Assoc. Prof., Assoc. Prof. of the Department of State and Municipal Administration
Yekaterinburg
References
1. Cholbaeva S. D. Making more active the securities market and mechanisms of state participation. Finansy: teoriya i praktika = Finance: Theory and Practice. 2016;20(3):100-106. (In Russ.). DOI: 10.26794/2587-5671- 2016-20-3-100-106
2. Mishra A., Kumar R. P. Price discovery of agri commodities: An integrated approach. Finance: Theory and Practice. 2022;26(3):226-240. DOI: 10.26794/2587-5671-2022-26-3-226-240
3. Kurlyandskii V. V., Bilanenko A. N. Using the multidimensional scaling method when assessing the financial feasibility of including foreign exchange market assets in securities portfolios. Finansy i kredit = Finance and Credit. 2023;29(7):1595-1614. (In Russ.). DOI: 10.24891/fc.29.7.1595
4. Fadilah S., Rosidana Y., Maemunah M., et al. Multidimensional scaling (MDS): Sustainability assessment model of community economic empowerment. Polish Journal of Management Studies. 2021;24(2):119-135. DOI: 10.17512/pjms.2021.24.2.08
5. Atnagulova D. M., Sultanova D. R. A model of investment portfolio formation in a crisis. In: Mechanism of ensuring competitiveness and quality of economic growth in the context of economic modernization. Proc. Int. sci.-pract. conf. (Chelyabinsk, March 23, 2020). Ufa: Agency for International Studies; 2020:3-6. (In Russ.).
6. Gabdelova G. J. Investment portfolio management. Ekonomika i biznes: teoriya i praktika = Economy and Business: Theory and Practice. 2020;(11-1):184-186. (In Russ.). DOI: 10.24411/2411-0450-2020-10892
7. Dmitriev N. Formation of investment portfolio. Strategii biznesa = Business Strategies. 2019;(5):17-20. (In Russ.).
8. Fakhrutdinov S. F. Securities portfolio management and quality assessment of this management. Alleya nauki. 2020;1(8):194-198. (In Russ.).
9. Hasbrouck J. One security, many markets: Determining the contributions to price discovery. The Journal of Finance. 1995;50(4):1175-1199. DOI: 10.1111/j.1540-6261.1995.tb04054.x
10. Man K., Wang J., Wu C. Price discovery in the US treasury market: Automation vs. intermediation. Management Science. 2013;59(3):695-714. DOI: 10.1287/mnsc.1120.1559
11. Guznov A. G., Rozhdestvenskaya T. E. Public-legal regulation of the financial market in the Russian Federation. Moscow: Yurait; 2019. 438 p. (In Russ.).
12. Markowitz H. Portfolio selection. The Journal of Finance. 1952;7(1):77-91. DOI: 10.1111/j.1540-6261.1952. tb01525.x
13. Tobin J. Liquidity preference as behavior towards risk. The Review of Economic Studies. 1958;25(2):65-86. DOI: 10.2307/2296205
14. Sharpe W. F. Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance. 1964;19(3):425-442. DOI: 10.1111/j.1540-6261.1964.tb02865.x
15. Shorgin S. Ya. Asymptotic analysis of an individual risk model with random insurance premiums. Journal of Mathematical Sciences. 1996;81(5):3000-3004. DOI: 10.1007/BF02362510
16. Vorob’ev O. Yu., Martynova T. A., Novoselov A. A. Modified coherent risk measures (for the Euclidean norm). Vestnik Krasnoyarskogo gosudarstvennogo universiteta. Fiziko-matematicheskie nauki. 2005;(4):183-189. (In Russ.).
17. Ignatov A. N., Kibzun A. I. Composition of investment portfolio with uniform distribution via log-cost with priority to the risk component. Avtomatika i telemekhanika = Automation and Remote Control. 2014;(3):87-105. (In Russ.).
18. Menshikov I. S., Menshikova O. R. Laboratory analysis of taking economical decisions process on the basis of stabiligraphic arm-chairs complex. Izvestiya YuFU. Tekhnicheskie nauki = Izvestiya SFedU. Engineering Sciences. 2008;(6):162-165. (In Russ.).
19. Bronshtein E. M., Kondrateva O. V. The method application of swarm intelligence in managing the securities portfolio formation. Vestnik Rossiiskogo novogo universiteta. Seriya: Slozhnye sistemy: modeli, analiz i upravlenie = Vestnik of Russian New University. Series: Complex Systems: Models, Analysis, Management. 2021;(3):70-78. (In Russ.). DOI: 10.25586/RNU.V9187.21.03.P.070
20. Rotar V. I., Sholomitsky A. G. On the Pollatsek-Tversky theorem on risk. Journal of Mathematical Psychology. 1994;38(3):322-334. DOI: 10.1006/jmps.1994.1023
21. Spivak S. I., Klimin A. S. Mathematical modeling of risk processes with variable premium receipts. Trudy Srednevolzhskogo matematicheskogo obshchestva = Middle Volga Mathematical Society Journal. 2003;5(1):232- 242. (In Russ.).
22. Drobyshevskaya L. N., Petrushkina O. K. Fundamental and technical analysis of the stock market (on the example of energy sector companies). Ekonomika i biznes: teoriya i praktika = Economy and Business: Theory and Practice. 2021;(10-1):118-123. (In Russ.). DOI: 10.24412/2411-0450-2021-10-1-118-123
23. Zaitseva V. I., Nikitina I. N. Fundamental analysis of the stock market. In: Innovative approaches in modern science. Proc. Int. (correspond.) sci.-pract. conf. (Prague, December 25, 2019). Neftekamsk: Mir nauki; 2019:215-221. (In Russ.).
24. Rodin D. Ya., Parshin A. B., Terpitskaya K. I. Securities portfolio management strategies. VestnikAkademii znanii = Bulletin of the Academy of Knowledge. 2022;(50):455-464. (In Russ.).
25. Teplova T.V., Sokolova T.V., Fasano A., Rodina V. A. Determinants of return rates of Russian equity and bond mutual funds: Active investment strategies and commissions. Voprosy ekonomiki. 2020;(9):40-60. (In Russ.). DOI: 10.32609/0042-8736-2020-9-40-60
26. Saini J. R., Vaz C. A novel weighted hybrid recommendation system using Sharpe ratio for a profitable diversified investment portfolio. Finance: Theory and Practice. 2022;26(4):267-276. DOI: 10.26794/2587- 5671-2022-26-4-267-276
27. OliinykV., Kozmenko O. Optimization of investment portfolio management. Serbian Journal of Management. 2019;14(2):373-387. DOI: 10.5937/sjm14-16806
28. Minasyan V. B. Assessment of risks arising from the use of multiplier technology to assess the shares. Finance: Theory and Practice. 2018;22(3):124-135. DOI: 10.26794/2587-5671-2018-22-3-124-135
29. Khutorova N. A., Nazin N. A. Analyzing the efficiency of portfolio strategies based on the dividend yield concept: Evidence from the Russian stock market. Finansovaya analitika: problemy i resheniya = Financial Analytics: Science and Experience. 2021;14(3):323-346. (In Russ.). DOI: 10.24891/fa.14.3.323
30. Ben Dor A., Florig S., Guan J., Zeng X. Beta instability and implications for hedging systematic risk: Takeaways from the COVID-19 crisis. The Journal of Portfolio Management. 2021;47(6):139-155. DOI: 10.3905/jpm.2021.1.233
Review
For citations:
Yuzvovich L.I., Lvova M.I. Asset Allocation and Risk Assessment in the Securities Portfolio Management System. Finance: Theory and Practice. 2025;29(2):94-106. https://doi.org/10.26794/2587-5671-2025-29-2-94-106