Methods of econometric analysis of financial indicators

Proceeding
All-Russian Scientific and Practical Conference «Modern trends in management, economics and business: from theory to practice»
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Published in:
All-Russian Scientific and Practical Conference «Modern trends in management, economics and business: from theory to practice»
Authors:
Denis A. Gushchin 1 , Alina E. Sennikova 1
Work direction:
Информационные технологии в управлении, экономике и предпринимательстве
Pages:
66-69
Received: 9 November 2023

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971
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РИНЦ
1 the Kuban State Agrarian University
For citation:
Gushchin D. A., & Sennikova A. E. (2023). Methods of econometric analysis of financial indicators. Modern trends in management, economics and business: from theory to practice, 66-69. Чебоксары: PH "Sreda".

Abstract

This article explores methods of econometric analysis of financial indicators. The most current and necessary approaches for studying the financial sector in 2023 are identified in this article. The article highlights three main classes of econometric models: time series models, single-equation regression models, and simultaneous equation systems. It is important to emphasize that the choice of method depends on specific goals and the characteristics of the available data. Factors such as data availability and quality, model complexity, research objectives, time frames, and the complexity of relationships all influence the selection of the most appropriate method. Ultimately, the article underscores the importance of carefully selecting a method, conducting an analysis of results, and making informed decisions for effective financial management and forecasting future changes.

References

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  3. 3. Цвиль М.М. Эконометрический анализ финансовой устойчивости организации / М.М. Цвиль // Актуальные проблемы гуманитарных и естественных наук. – 2019. – С. 96–99.
  4. 4. Эльдяева Н.А. Статистические методы анализа и моделирования развития домашних хозяйств / Н.А. Эльдяева. – М.: ГОУ ВПО «Российская экономическая академия им. Г.В. Плеханова», 2018. – 149 с.

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