Журнал «Современная Наука»

Russian (CIS)English (United Kingdom)
 MOSCOW +7(495)-142-86-81

DEVELOPMENT OF FINANCIAL DATA AGGREGATION METHODOLOGY

Sapogov Alexander Alexandrovich  (graduate student Russian State Social University (Moscow) )

Financial indicators are an important source of information for assessing a company's financial condition, making investment decisions and understanding market trends. Aggregating such indicators is becoming increasingly important and at the same time challenging as the volume of information increases and more precise analysis is required. This article examines innovative methods for aggregating financial data presented in modern scientific literature. There has been a surge of interest in methods that can be used not only to analyze the financial condition of one selected corporate structure, but also to analyze entire industries, sub-sectors, as well as to assess the financial condition of companies in regions, territories and states. In addition, it is concluded that the main approach for aggregating financial information is neural networks.

Keywords:financial analysis, financial data, aggregation, aggregate, data analysis, neural network
 

Read the full article …

Citation link:
Sapogov A. A. DEVELOPMENT OF FINANCIAL DATA AGGREGATION METHODOLOGY // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№10. -С. 100-103 DOI 10.37882/2223-2966.2023.10.33
LEGAL INFORMATION:
Reproduction of materials is permitted only for non-commercial purposes with reference to the original publication. Protected by the laws of the Russian Federation. Any violations of the law are prosecuted.
© ООО "Научные технологии"

Terms Publications

Issues of the journals (Archive)

ECONOMICS AND LAW
HUMANITIES
NATURAL AND TECHNICAL SCIENCES
COGNITION

Серия - Natural and Technical Sciences