Work

Forecasting Tools for Government Budget Revenues in the Digital Financial Environment

Year: 2025
Type: article
Abstract: The possibilities of using digital technologies and intelligent analytical systems for forecasting state budget revenues are investigated. It is determined that the digitalization of financial management increases the accuracy of forecasting calculations, automates the processing of large amounts of data and adapts to changes in the macroeconomic environment. The key problems that impede the effective implementation of such technologies in Ukraine are identified, in particular, the fragmentation of state information resources, the lack of synchronization of data between tax and budgetary institutions, and the limited use of machine learning and algorithmic models in financial planning. The article assesses the degree of influence of these problems on the accuracy of forecasting and development of budget strategies. The purpose of the study is to assess the problems and prospects of using digital technologies in forecasting budget revenues and to develop recommendations for improving the mechanisms for their use. The methodological basis is a systematic approach that includes economic and mathematical modeling, analysis of macroeconomic trends, and evaluation of the effectiveness of digital technologies based on comparative analysis. The results of the study confirm the need for a comprehensive reform of approaches to budget forecasting, which involves the introduction of an integrated digital platform for automated analysis of budget indicators in real time. It is proved that the use of artificial intelligence, adaptive algorithms and big data will help reduce forecasting errors and increase the efficiency of financial planning. The practical value of the study lies in the possibility of applying the proposed mechanisms to modernize the budget forecasting system, increase the transparency of tax calculations and respond promptly to economic changes. Prospects for further research are related to improving methods for assessing macroeconomic risks, integrating big data-based forecasting models into public financial systems, and assessing the long-term impact of digital technologies on budget stability.
Language: English
Open Access status: diamond
OpenAlex ID: W4410414705
FWCI:
Cites:
Cited by:
Related to: 10