Implementation of innovative financial instruments using artificial intelligence technologies

Authors

DOI:

https://doi.org/10.5281/zenodo.16670460

Keywords:

machine learning, risk forecasting, financial analytics, digitalization, process automation, banking technologies, financial modeling, cybersecurity

Abstract

The relevance of this study lies in the need to analyze the potential of machine learning algorithms, neural networks, and forecasting systems in the fields of asset management, risk assessment, and the automation of financial decision-making processes. The purpose of this article is to examine the implementation of innovative financial instruments based on artificial intelligence technologies as a factor in transforming the modern financial environment. Methods. The study employed methods of system and comparative analysis, as well as elements of economic and mathematical modeling, which enabled the assessment of the current level of artificial intelligence implementation in Ukraine's financial sector and the identification of key areas for innovative growth. Results. A comparative review of international experiences in utilizing artificial intelligence in the work of banking institutions, insurance companies, and investment platforms was conducted. It has been established that the implementation of artificial intelligence contributes to increasing the accuracy of financial forecasts, automating routine operations, reducing costs, and strengthening customer orientation. It is substantiated that the use of intelligent financial solutions enables significantly improved efficiency and quality in financial services sector management processes. At the same time, several barriers have been identified, including regulatory restrictions, ethical dilemmas, a shortage of specialized personnel, and cybersecurity risks. Practical recommendations have been proposed for integrating intelligent systems into the financial infrastructure, considering the needs of the national economy and global trends. The importance of developing an adaptive regulatory framework that ensures a balance between innovation and the stability of financial markets has been emphasized. Conclusions. The widespread use of artificial intelligence in the financial sector is one of the key areas of digital transformation, requiring an integrated approach ˗ technological, institutional, and educational ˗ to achieve sustainable development. The research materials can serve as the basis for further scientific and applied developments in the fields of FinTech, financial forecasting, and digital banking.

Published

2025-07-31

How to Cite

Horiacha, O., Toma, A., & Miakyshevska, O. (2025). Implementation of innovative financial instruments using artificial intelligence technologies. Current Issues of Economic Sciences, (13). https://doi.org/10.5281/zenodo.16670460

Issue

Section

Finance, banking, insurance and stock market