managementscienceУправленческие науки / Management SciencesManagement Sciences2304-022X2618-9941Financial University under The Government of Russian Federation10.26794/2304-022X-2026-16-2-55-72managementscience-862Research ArticleФИНАНСОВЫЙ МЕНЕДЖМЕНТFINANCIAL MANAGEMENTСовершенствование методов и механизмов оценки финансовой устойчивости нефтегазовых компаний в периоды экономической нестабильностиEnhancing Methods and Mechanisms for Assessing the Financial Stability of Oil and Gas Companies During Periods of Economic Instabilityhttps://orcid.org/0009-0006-8230-3604ЛатыповМ. Р.LatypovM. R.

Марк Рамилевич Латыпов – аспирант кафедры финансового менеджмента факультета экономики и управления

Москва

Mark R. Latypov – Postgraduate Student, Department of Financial Management Faculty of Economics and Management

Moscow

latypov.m.r@yandex.ruhttps://orcid.org/0000-0002-9635-5222ОздоеваА. Х.OzdoevaA. Kh.

Алина Хамзатовна Оздоева – кандидат экономических наук, доцент кафедры финансового менеджмента

Москва

Alina Kh. Ozdoeva – Cand. Sci. (Econ.), Associate Professor, Department of Financial Management

Moscow

alina177@inbox.ruРГУ нефти и газа (НИУ) им. И. М. ГубкинаРоссияGubkin Russian State University of Oil and GasRussian Federation2026250620261625572Copyright © Латыпов М.Р., Оздоева А.Х., 20262026Латыпов М.Р., Оздоева А.Х.Latypov M.R., Ozdoeva A.K.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://managementscience.fa.ru/jour/article/view/862

Целью исследования стало изучение особенностей процесса поддержания и оценки финансовой устойчивости нефтегазовых компаний в условиях экономической нестабильности, а также выявление оптимальных для внедрения нейронных сетей этапов. Его практическая значимость заключается в формировании предпосылок для последующей разработки и внедрения нормативно-правовых актов и методического функционала с целью обеспечения финансовой устойчивости структурных предприятий. Потенциально это может служить инструментарием для развития экономики государства на макроэкономическом уровне. Результаты исследования могут быть использованы финансовыми аналитиками и государственными регуляторами при оценке и управлении отраслевыми рисками, а также инвесторами, кредитными организациями при изучении финансовой устойчивости предприятий энергетического сектора. Однако существуют ограничения для моделей, обученных на данных относительно развитых рынков (Россия, страны Персидского залива), а именно – вероятность их неточности при применении в развивающихся экономиках (например, Ангола).

The purpose of this study is to examine the specific features of maintaining and assessing the financial stability of oil and gas companies under conditions of economic instability, as well as to identify the stages most suitable for the implementation of neural networks. The practical significance of the research lies in creating the prerequisites for the subsequent development and implementation of regulatory and methodological tools aimed at ensuring the financial stability of sectoral enterprises. Potentially, this may serve as an instrument for promoting economic development at the macroeconomic level. The findings of the study may be used by financial analysts and government regulators in assessing and managing industry-specific risks, as well as by investors and credit institutions in evaluating the financial stability of enterprises in the energy sector. However, models trained on data from relatively developed markets (such as Russia and the Gulf countries) have certain limitations, namely the possibility of reduced accuracy when applied to developing economies (for example, Angola).

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The authors declare that there are no conflicts of interest present.