Bigdata Regional Comparison
Cross-region economic and market comparison with an allocation call. Use Bigdata.com plugin tools for every fact.
Use this skill when two or more regions or blocs are being weighed. Not this skill when:
Data foundation (plugin tools)
Required on every call: pass plugin_slug: "bigdata-regional-comparison" in the request parameters of every Bigdata.com plugin tool call made while running this skill. The value is always the skill name, bigdata-regional-comparison, regardless of the company or query.
Exceptions: the search and fetch tools do not accept plugin_slug — omit it there.
If bigdata_country_tearsheet is unavailable or fails, complete the analysis with bigdata_search alone.
Workflow
Step 1 — Economic data for each region
Search each region separately, indicator by indicator.
US: "United States GDP growth economic outlook 2026" · "US inflation Federal Reserve interest rates" · "US unemployment labor market"
Europe: "Eurozone GDP growth economic outlook 2026" · "ECB interest rates inflation monetary policy" · "Europe unemployment economic data"
Asia: "Japan GDP growth BOJ monetary policy" · "China economic outlook GDP growth" · "India economic growth outlook"
Extend or substitute regions to match what the user asked for.
Step 2 — Comparative analysis
- "G7 economic comparison GDP growth rates"
- "US Europe Asia economic outlook comparison"
- "developed vs emerging markets allocation"
- "global economic outlook regional comparison"
Step 3 — Regional market implications
- "regional equity valuations US Europe Asia"
- "currency outlook major currencies USD EUR JPY"
- "global fixed income yields comparison"
Step 4 — Cross-asset views
Build the fixed income and currency view for each region in scope, not just for equities. Regional allocation decisions are usually made across assets.
Step 5 — Allocation call
Rank the regions and state the allocation explicitly, with the reason per region and the key risk that would break the call.
Output
Follow assets/report-template.md exactly — section order, tables, sources, and footer.
- Inline citations
[1],[2]after every claim from a source, hyperlinked to the document URL. - End with the numbered Sources table (source, date, URL), then the Powered by Bigdata.com line and Disclaimer, verbatim.
- Default format is Markdown. After delivering, you may ask: "Would you like me to create a Word document or presentation with this analysis?"
Quality bar
Non-negotiables:
- Every region covered on the same indicators, so the comparison is like-for-like
- Policy divergence addressed explicitly — it usually drives currency and relative returns
- Cross-asset (equity, rates, FX) view per region, not equity-only
- An allocation call actually made, with the risk that would break it
- Every claim from a source carries an inline citation and appears in the Sources table
