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Risk Warning: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 84% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Please click here to read our full Risk Warning.

79% of retail investor accounts lose money when trading CFDs with this provider.

Risk Warning: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 84% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Please click here to read our full Risk Warning.

79% of retail investor accounts lose money when trading CFDs with this provider.

What does financial modelling mean in financial analysis?

Financial modelling means creating a structured representation of financial data to analyse risks, performance, or future projections. At its core, a financial model translates real-world financial information — such as revenue, expenses, cash flows, and market trends — into an organised framework that allows analysts to examine relationships between variables and evaluate potential outcomes under different conditions.

These models are widely used across the financial industry for purposes such as company valuation, investment appraisal, budgeting, and risk assessment. For example, an analyst might build a model to estimate how changes in interest rates could affect a company's profitability, or how different growth scenarios might affect a stock's value. By adjusting key inputs, financial models allow users to test multiple assumptions and compare their potential effects side by side.

It is worth noting that financial modelling is both a technical skill and an analytical discipline. The reliability of any model depends on the quality of the data used, the soundness of the assumptions applied, and the analyst's ability to interpret the results in the context of real market conditions. As such, financial models are best used as decision-support tools rather than definitive answers, complementing other forms of analysis to build a more complete picture.