Construction of a model for forecasting the rationality of financial decisions under the conditions of financial markets digitalization

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.325518

Keywords:

multi-vector forecasting model, digitalization of financial markets, financial management, finance, risks

Abstract

The object of this study is to predict the rationality of financial decisions in the context of digitalization of financial markets. In the context of digitalization of financial markets, about ¼ of financial decisions turn out to be irrational for financial market participants. Under these conditions, the problem is the inability of financial market participants to predict the rationality of financial decisions.

The devised multi-vector model for predicting the rationality of financial decisions in the context of digitalization of financial markets makes it possible to evaluate key indicators of decision-making efficiency and minimize risks. It was found that the use of the adaptive Adam optimization algorithm provides a reduction in the average forecasting error by 18.7 % compared to conventional methods, such as gradient descent. The use of a utility function with a correction parameter β made it possible to smooth out market fluctuations, reducing the deviation of predicted values from actual values by an average of 12.3 %. The conducted scenario modeling using the Monte Carlo method demonstrated that under conditions of high market volatility, the accuracy of forecasts remains stable and exceeds 85 %. Testing the model on the example of five Ukrainian financial companies (Moneyveo, LeoGaming Pay, Ukrfinzhytlo, European Microfinance Alliance, Smart Pay) over the period 2018–2023 showed that the level of irrational financial decisions decreased on average from 24.6 % to 15.2 %, which is equivalent to saving financial resources in the amount of UAH 37.8 million per company. This indicates the significant potential of the model in improving the quality of financial management and ensuring sustainable development of financial markets.

The practical value of the devised multi-vector predictive model of financial decisions rationality relates to its ability to optimize the process of assessing risks and investment returns, taking into account the multifactorial nature of the modern market environment. The results could become a tool for strategic planning and assessing investment attractiveness

Author Biographies

Yaroslava Moskvyak, Lviv Polytechnic National University

PhD, Associate Professor

Department of Tourism

Anatolii Kucher, Lviv Polytechnic National University

Doctor of Economic Sciences, Professor

Department of Management of Organizations

Sviatoslav Kniaz, Lviv Polytechnic National University

Doctor of Economic Sciences, Professor

Director

Viacheslav Chornovil Institute of Sustainable Development

Nelli Heorhiadi, Lviv Polytechnic National University

Doctor of Economic Sciences, Professor

Department of Management and International Business

Oleksii Fedorchak, Lviv Polytechnic National University; SMSWords

PhD, Senior Software

Department of Entrepreneurship and Environmental Examination of Goods

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Construction of a model for forecasting the rationality of financial decisions under the conditions of financial markets digitalization

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Published

2025-04-22

How to Cite

Moskvyak, Y., Kucher, A., Kniaz, S., Heorhiadi, N., & Fedorchak, O. (2025). Construction of a model for forecasting the rationality of financial decisions under the conditions of financial markets digitalization. Eastern-European Journal of Enterprise Technologies, 2(13 (134), 38–50. https://doi.org/10.15587/1729-4061.2025.325518

Issue

Vol. 2 No. 13 (134) (2025): Transfer of technologies: industry, energy, nanotechnology

Section

Transfer of technologies: industry, energy, nanotechnology

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Copyright (c) 2025 Yaroslava Moskvyak, Anatolii Kucher, Sviatoslav Kniaz, Nelli Heorhiadi, Oleksii Fedorchak

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