FINANCIAL MODELING IN CONDITIONS OF UNCERTAINTY IN RELATION TO MINING ENTERPRISES

The mining sector is one of the most risky areas of economic activity, due to the instability of commodity prices, geological uncertainty, the dynamics of legislative regulation and the high level of capital investments. Traditional methods of financial analysis are often insufficient when evaluating investment initiatives in such conditions. Within the framework of this study, an engineering approach to modeling uncertainty in the financial assessment of mining projects has been developed and substantiated. The proposed methodology is based on the use of probabilistic analysis, simulation modeling and scenario approach to increase the reliability of forecasts and minimize potential risks. The effectiveness of the developed methodological apparatus is confirmed by practical implementation using the example of a real investment project in the field of mining. The research results can be used by companies in the industry to strengthen sustainability and form a longterm competitive position.