Economic indicators and macro data
Macro data is the backdrop to almost every forecast and risk model. It is largely official and open, but using it well takes care. This guide covers economic indicators and macro data.
Why macro data matters
Growth, inflation, rates, employment and confidence shape demand, risk and strategy. Macro data provides the context that internal data cannot.
The data landscape
- Output: GDP and production.
- Prices: inflation and cost indices.
- Labour: employment and wages.
- Sentiment: confidence and surveys.
Official sources
Eurostat, the ECB, national statistical institutes and the OECD provide authoritative macro data, much of it open. The challenge is harmonising series, frequencies and definitions across sources and over time.
Vintages and revisions
Macro data is revised, so point-in-time (vintage) data matters for forecasting and backtesting, using later revisions as if available earlier creates look-ahead bias.
Common use cases
Demand and risk forecasting, scenario and stress analysis, market and investment research, and strategy.
In a managed model
A managed partner can harmonise macro series with vintages and deliver consistent, analysis-ready datasets.
Vintages and revisions
Macro series are revised after first release, so for forecasting and backtesting you need point-in-time (vintage) data, the values known on a given date, not the latest figures. Using revised data as if it had been available earlier creates look-ahead bias that flatters models and fails in production. A vintage-aware feed records what was known when.
Harmonising official sources
Eurostat, the ECB, the OECD, the IMF and national institutes publish authoritative, largely open macro data, but series, frequencies and definitions differ. Harmonising them into a consistent panel, with consistent geography and units, is the work that turns scattered official statistics into a usable forecasting and risk backbone.
- Macro data is the context behind forecasts and risk models.
- Official sources (Eurostat, ECB, OECD) are authoritative and largely open.
- Harmonise series, frequencies and definitions.
- Use point-in-time vintages to avoid look-ahead bias.
Sources & further reading
- Eurostat and the ECB: European economic statistics.
- OECD and IMF: macro data.
- National statistical institutes.
- Internal practice: DataSupplier macro sourcing.
We harmonise macro series with vintages into analysis-ready datasets. Get a no-obligation quote.