ANALYSIS OF THE STATE AND PROBLEMS OF USING ECONOMIC AND MATHEMATICAL METHODS AND MODELS IN THE STUDY OF FINANCIAL CRIMES

Abstract

The purpose of the article is to substantiate the theoretical and applied principles for the analysis of the state and problems of using economic and mathematical methods and models in the study of financial crimes and assess their impact on the level of financial crime in Ukraine. The emergence of significant destabilizing factors in the development of world financial and economic relations has led to instability of the national economy and significant destructive changes of socio-political nature. The destabilization of most processes and phenomena has necessitated the search for new ways and methods of doing business outside the formal sector of the economy. As a result, the processes of shadowing the economy and the accumulation of significant amounts of illegally obtained capital, which need to be legalized and put into official circulation, have intensified. Taking into account the outlined tendencies, the processes of legalization of proceeds from crime have deepened and financial crime has intensified. The article identifies the essence and features of financial crime in Ukraine, analyzes the dynamics of financial crime and outlines its impact on the quality of life. It has been established that determining the amount of financial crimes is quite a problematic task, as official statistics do not record such crimes, and the facts of their commission are difficult to prove. The expediency of using economic-mathematical methods and models in estimating the volume of financial crime, in particular, correlation-regression analysis, nonlinear programming according to the Horl model and forecasting methods is substantiated. The importance of studying the influence of factors on the main indicators that characterize the state and trends of financial crimes in Ukraine is proved. Using economic and mathematical methods and models, the relationship and interaction of financial crimes on the quality of life of the population is characterized, which proves the relevance of such research in the future.