Identifying factors impact on investment in financial services under digital financial ecosystem transformation

Abstract

The object of research is global investment processes in the fiancial services sector. The problem is the gaps in the development of analytical tools for assessing and forecasting the volume ofglobal investments in the fiancial services sector when the role offiancial institutions changes in the digital transformation ofthe fiancial ecosystem. Correlation-regression analysis methods serve as the methodological basis of this research, implemented on the basis of Oxford Economics statistical data. A theoretical analysis ofscientifi approaches has been conducted to identify potential key factors inflencing investments in fiancial services. A sample ofstatistical data on the dynamics ofthe international capital market has been formulated, characterizing changes in indicators ofthe fiancial services sector for the period 2004–2024. A correlation analysis has been conducted to identify multicollinearity ofthe identifid factors and the resulting indicator – investments in fiancial services to assess their density and direction of the relationship. As a result of modeling, a regression equation with high reliability has been obtained. The model showed that gross output ( X1) acts as a dominant positive driver ofinvestment activity. In turn, the most signifiant result is the detection ofa statistically signifiant negative impact ofthe share ofthe fiancial sector in GDP ( X4) on total investment in the sector. The main forecast scenarios ofthe dynamics ofglobal investments in fiancial services are formulated. The multidirectional impact on the dynamics ofinvestment processes is determined – scale and structural balance within the integrated model. The practical result ofits implementation is the application ofthe proposed toolkit for making investment and regulatory decisions in the medium term by investment funds, fitech companies and fiancial market regulators.