Publication number: ELQ-34939-1
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Mining DCF Risk Engine: Monte Carlo, Fuzzy Logic & Scenario Analysis
Advanced Excel-based mining valuation tool combining DCF modelling, Monte Carlo simulation, fuzzy logic and scenario analysis to assess project value, uncertain
Further information
Evaluate the financial viability of mining projects using discounted cash flow analysis.
Quantify uncertainty through Monte Carlo simulation, fuzzy logic and scenario analysis.
Estimate the probability and range of NPV, IRR, payback period, EBITDA and other key outcomes.
Assess the effects of commodity prices, exchange rates, recovery rates, CAPEX, OPEX, tax and discount rates.
Identify the assumptions that have the greatest influence on project value and risk.
Evaluate downside exposure, upside potential and alternative market conditions.
Improve investment screening, feasibility assessment and project-finance decisions.
Replace single-point forecasts with probability-based valuation results.
Provide clear analytical outputs for management, investors, lenders and other stakeholders.
Retain the transparency of an Excel mining model while adding a powerful, dedicated risk-analysis engine.
This Downloadable Best Practice applies best when:
Evaluating the financial viability of a new or existing mining project.
A conventional mining DCF model needs to be supplemented with uncertainty and risk analysis.
Key assumptions—such as commodity prices, exchange rates, recovery rates, CAPEX, OPEX, tax and discount rates—are uncertain.
Comparing base, downside and upside project scenarios.
Conducting preliminary economic assessments, scoping studies, pre-feasibility studies or feasibility reviews.
Assessing potential ranges and probabilities for NPV, IRR, payback period, EBITDA and AISC.
Identifying the assumptions that have the greatest effect on project value.
Screening or comparing alternative mining projects, development plans or investment opportunities.
Preparing analytical support for management, investors, lenders or project partners.
Users have access to Microsoft Excel and are comfortable working with financial models.
Project-specific technical, operational and financial assumptions are available or can be estimated.
A transparent, Excel-based decision-support tool is preferred over a fully customised enterprise system.
This Downloadable Best Practice is not ideally suited when:
A final bankable feasibility study, independent technical report or formal mineral-resource valuation is required.
Project-specific geological, metallurgical, engineering or cost data are unavailable or unreliable.
The model is expected to replace qualified mining, engineering, tax, legal or investment professionals.
Real-time mine planning, production scheduling, fleet optimisation or process-control functionality is required.
Detailed orebody modelling, reserve estimation, geostatistics or pit optimisation is needed.
The project requires a fully customised financial structure, tax regime, royalty system or financing arrangement not represented in the model.
Results will be used as the sole basis for an investment, lending, acquisition or development decision.
Users require guaranteed forecasts rather than probability-based estimates dependent on assumptions.
The operating environment does not support the supplied Microsoft Excel workbook or Windows application.
The workbook structure, required worksheets, formulas or mapped cells have been materially altered without updating the engine configuration.
MacOS, mobile devices, Excel Online or unsupported spreadsheet applications are the primary operating platforms.
Confidential or regulated project data cannot be processed within the user’s local computing environment.
