Methodology for analyzing financial monitoring data on the example of business entities

 
PIIS042473880014912-2-1
DOI10.31857/S042473880014912-2
Publication type Article
Status Published
Authors
Affiliation: Financial University under the Government of the Russian Federation
Address: Moscow, Russian Federation
Journal nameEkonomika i matematicheskie metody
EditionVolume 57 Issue 3
Pages32-44
Abstract

Abstract. The purpose of the article is to propose methodology for analyzing financial monitoring data that takes into account the need to process large volumes of heterogeneous data, the latency of the sought characteristics, and also satisfies the criterion for the time and resource indicators of the data processing process. It is necessary to move from sequential expert inspections of the objects to parallel massive automated inspections, taking into account modern methodological and instrumental capabilities in the context of the digital transformation of public administration. The lack of a methodology for data analysis in the field of financial monitoring prevents the widespread introduction of automation of the processes of assessing the situation and making decisions at different hierarchical levels of the public administration contour, the formation of integral assessments of business entities, which determines the timeliness and importance of this study. The problem of optimizing the choice of business entities according to the information of financial monitoring to determine the priority of verification is posed in meaningful terms and mathematically. The article provides an illustration of the proposed methodology using the example of data on business entities. Using the method of the main components of factor analysis, an integral indicator of the deviant component of the activity of an economic entity was found. The obtained estimates are verified using the pattern recognition theory and their internal convergence is confirmed. On the basis of the obtained measures of deviant activity of economic entities, a map of the propensity to legalize money in the regions has been synthesized. The practical value of this approach lies in the fact that, based on the ranking of the regions according to their susceptibility to money laundering, recommendations can be developed to improve the current practice of conducting financial investigations and to efficiently redistribute resources.

KeywordsKeywords: methodology of data analysis; financial monitoring; integral assessments; method of principal components; pattern recognition.
Received15.09.2021
Publication date22.09.2021
Number of characters24527
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