Methods of Strategic Forecasting in Financial Management

Abstract

This article examines the methods of strategic forecasting applied in financial management. Forecasting is 
a key tool for making effective management decisions under conditions of uncertainty and dynamic changes in the 
external environment. The practical application of strategic forecasting not only minimizes financial risks but also 
enhances the long-term sustainability of an enterprise. The article highlights the importance of integrating innovative 
technologies to improve forecast accuracy and the efficiency of financial resource management. Amid high turbulence 
in the economic environment and increasing complexity of management processes, the significance of strategic 
forecasting in financial management systems is growing. The purpose of this article is to analyze and systematize the 
methods of strategic forecasting used to assess and plan the financial development of an enterprise. The study 
considers both traditional approaches, including trend extrapolation, sensitivity analysis, and scenario modeling, as 
well as modern methods based on econometric models, machine learning, and big data processing technologies. The 
practical relevance of a combined approach, where the integration of innovative solutions enhances forecast accuracy 
and validity, minimizes risks, and ensures the financial stability of the enterprise in the long term, is emphasized. 
Special attention is paid to the issues of selecting an appropriate method depending on the industry, business scale, 
and availability of analytical data. The research results can be used as practical recommendations for improving the 
efficiency of financial planning at the corporate management level.