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Forecasting is the process of making predictions based on past and present data. These forecasts can later be compared with actual outcomes. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis. Prediction is a similar but more general term. Forecasting might refer to specific formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods or the process of prediction and assessment of its accuracy. Usage can vary between are

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Forecasting
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~26 min read

Article

33 sections
Contents
  • Applications
  • Forecasting as training, betting and futarchy
  • Forecast improvements
  • Categories of forecasting methods
  • Qualitative vs. quantitative methods
  • Average approach
  • Naïve approach
  • Drift method
  • Seasonal naïve approach
  • Deterministic approach
  • Time series methods
  • Relational methods
  • Judgmental methods
  • Artificial intelligence methods
  • Geometric extrapolation with error prediction
  • Other methods
  • Forecasting accuracy
  • Scaled-dependent errors
  • Percentage errors
  • Scaled errors
  • Other measures
  • Training and test sets
  • Cross-validation
  • Forecastability
  • Seasonality and cyclic behaviour
  • Seasonality
  • Cyclic behaviour
  • Limitations
  • Performance limits of fluid dynamics equations
  • See also
  • References
  • Sources
  • External links

Forecasting is the process of making predictions based on past and present data. These forecasts can later be compared with actual outcomes. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis. Prediction is a similar but more general term. Forecasting might refer to specific formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods or the process of prediction and assessment of its accuracy. Usage can vary between areas of application: for example, in hydrology the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period.

Risk and uncertainty are central to forecasting and prediction; it is generally considered a good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible. In some cases the data used to predict the variable of interest is itself forecast. A forecast is not to be confused with a Budget; budgets are more specific, fixed-term financial plans used for resource allocation and control, while forecasts provide estimates of future financial performance, allowing for flexibility and adaptability to changing circumstances. Both tools are valuable in financial planning and decision-making, but they serve different functions.

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