Development of a comprehensive index for assessing the financial condition of companies
Rubrics: SCIENTIFIC ARTICLES
Authors:
1.
Povolzhskiy State University of Telecommunications
(kafedra cifrovoy ekonomiki, Associate Professor)
employee
employee
2.
Samara National Research University named after Academician S. P. KorolevS
student
student
Type:
Article
Pages:
from 261
to 271
Status:
In work
Received:
07.04.2026
Accepted:
16.04.2026
Published:
16.04.2026
Subject area:
UDC 33
Language:
Russian
Keywords:
microeconomic index, financial stability, comparative analysis, risk management, investment attractiveness, technology sector, normalization of indicators, reference group, corporate governance, predictive modeling
Abstract:
This study is devoted to the development and testing of an innovative microeconomic index aimed at a comprehensive assessment of the financial stability of companies in the context of global economic turbulence. The paper proposes an original methodology based on a multidimensional comparative analysis of a system of interrelated indicators, including operating cash flow, capital investments and labor productivity, demonstrating increased resistance to falsification. Empirical verification was carried out on a representative sample of technology corporations (Apple Inc., Microsoft Corporation, Amazon.com Inc., Alphabet Inc.) for the 2018-2023 time interval, which revealed the strategic divergence of their financial models. The results obtained indicate the high discriminant ability of the developed index, which allows not only minimizing investment risks during operations on stock exchanges, but also forming the basis for predictive modeling of the long-term development of corporate structures. The practical significance of the research lies in the creation of tools for verifying financial stability and optimizing corporate governance strategies.
This study is devoted to the development and testing of an innovative microeconomic index aimed at a comprehensive assessment of the financial stability of companies in the context of global economic turbulence. The paper proposes an original methodology based on a multidimensional comparative analysis of a system of interrelated indicators, including operating cash flow, capital investments and labor productivity, demonstrating increased resistance to falsification. Empirical verification was carried out on a representative sample of technology corporations (Apple Inc., Microsoft Corporation, Amazon.com Inc., Alphabet Inc.) for the 2018-2023 time interval, which revealed the strategic divergence of their financial models. The results obtained indicate the high discriminant ability of the developed index, which allows not only minimizing investment risks during operations on stock exchanges, but also forming the basis for predictive modeling of the long-term development of corporate structures. The practical significance of the research lies in the creation of tools for verifying financial stability and optimizing corporate governance strategies.
Keywords:
microeconomic index, financial stability, comparative analysis, risk management, investment attractiveness, technology sector, normalization of indicators, reference group, corporate governance, predictive modeling
microeconomic index, financial stability, comparative analysis, risk management, investment attractiveness, technology sector, normalization of indicators, reference group, corporate governance, predictive modeling
1. World Bank Group. [Elektronnyy resurs]. URL: https://www.worldbank.org/en/home (data obrascheniya: 09.10.2025).
2. Ivesting.com. [Elektronnyy resurs]. URL: https://ru.investing.com/ (data obrascheniya: 09.10.2025).
3. TrendEconomy. [Elektronnyy resurs]. URL: https://trendeconomy.com/data/h2/Italy/TOTAL (data obrascheniya: 09.10.2025).
4. Stefanova, N. A. Metodika rascheta innovacionnogo makroekonomicheskogo pokazatelya / N. A. Stefanova, A. A. Korolev // Zhurnal monetarnoy ekonomiki i menedzhmenta. – 2025. – № 4. – S. 375-382. – DOIhttps://doi.org/10.26118/2782-4586.2025.91.47.053. – EDN UOZWVE.
