Digital and Econometric Forecasting Tools Based on Financial Reporting Indicators

Abstract

Aim. To develop an integrated methodology for forecasting a company's financial performance by enhancing the informational potential of financial reporting indicators and to systematize modern digital and econometric tools used in financial forecasting.

Methods. The study employed the methods of scientific abstraction, comparative and systems analysis, economic and statistical analysis, regression analysis, time-series models, and multivariate econometric techniques. In addition, econometric model parameters were estimated, their statistical significance and forecasting accuracy were evaluated, and automated data processing and analytics systems, business intelligence platforms, and machine learning techniques were applied as digital analytical tools.

Results. The qualitative characteristics of financial reporting information, including reliability, completeness, and comparability, were evaluated, and their role in managerial decision-making and performance assessment was determined. A methodological approach based on the transformation and integration of financial reporting data was proposed to improve the accuracy of financial performance forecasting. The findings demonstrate that integrating financial and management accounting information reduces information asymmetry and enhances the reliability of forecasting results. Furthermore, the application of modern digital analytical tools expands the capabilities for assessing financial sustainability, managing risks, and improving the quality of strategic managerial decisions.

Conclusions. The proposed methodological approach enhances both the scientific validity and practical effectiveness of corporate financial performance forecasting. The research findings provide a methodological foundation for expanding the informational capacity of financial reporting, strengthening the analytical capabilities of enterprises under digital transformation, and developing a data-driven management system.