📉  Point Forecasts

Point Forecasts#

A single best-estimate prediction, without an uncertainty range.

Important

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What it is#

A point forecast gives a single predicted value for each future period — the deterministic forecast, with all the outcome probability mass placed on one number. Historically the dominant approach because it is easy to interpret and act on: a demand at 5 p.m., a price in the day-ahead market.

What it hides#

A point forecast says nothing about uncertainty — two forecasts can share the same point estimate yet imply very different risk. The value reported is usually a summary of an underlying predictive distribution (typically its mean or median). As the saying goes, it is better to be vaguely right than exactly wrong.

Scoring and context#

Point forecasts are scored against the realized value with error metrics — MAE, MSE / RMSE — which reward closeness but ignore calibration. Probabilistic forecasting does not eliminate point forecasts; it places them in context as one functional (mean, median, a quantile) of the full distribution.


Theme: Risk & Probabilistic Forecasting  ·  All terminology



See also

Source article Adapted (context, re-expressed) in our own words from: Point Forecasts (insightful-data-lab.com).

Tags: purpose: reference topic: terminology level: advanced