Bigdata G7 Comparison

作者 Bigdata-com2a52a0013662無授權條款2 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫昨天更新

Benchmark the seven G7 economies side by side using Bigdata.com data — the United States, Japan, Germany, the United Kingdom, France, Italy, and Canada. Produces a like-for-like indicator table (GDP, inflation, unemployment, policy rate, fiscal position), central bank stance and rate-path divergence across the Fed, BoJ, ECB, BoE and BoC, relative market positioning across equities, rates and currencies, the divergence and convergence themes running through the bloc, and a ranked allocation view — optionally focused on equities, rates, FX or credit. Triggers: "compare G7 economies", "G7 comparison", "G7 outlook", "how do the G7 economies compare", "G7 growth and inflation", "G7 central bank divergence".

AI 產生的概覽

使用 Bigdata.com 資料對七大工業國集團經濟體進行並列基準比較,產出指標表、央行政策分歧觀點與排序配置建議。

功能
以相同指標比較美國、日本、德國、英國、法國、義大利與加拿大,指標涵蓋 GDP 成長、CPI 通膨、失業率、政策利率與財政狀況。內容也包含聯準會、日本央行、歐洲央行、英國央行與加拿大央行的政策立場與利率路徑、股票、利率、貨幣與信用市場的相對定位,以及集團內部的分歧與趨同主題。最後提出相對吸引力的排序觀點,並依固定範本輸出附行內引用與來源表的 Markdown 報告。
適用情境
當以七大工業國集團整體為分析框架時使用,例如比較 G7 經濟體、成長與通膨,或央行政策分歧。不適用於單一 G7 國家的深入分析、其他地區、產業比較或跨境總體主題。
執行需求
需要 Bigdata.com 外掛工具 bigdata_country_tearsheet 與 bigdata_search,並在除 search 與 fetch 之外的每次呼叫中將 plugin_slug 設為 bigdata-g7-comparison。此技能未附帶指令碼,依賴報告範本資源以及存取資料服務的網路連線。

Bigdata G7 Comparison

Side-by-side benchmark of the seven G7 economies. Use Bigdata.com plugin tools for every fact.

Members: United States, Japan, Germany, United Kingdom, France, Italy, Canada. Note the euro-area members (Germany, France, Italy) share the ECB's policy rate — differentiate them on fiscal position, growth, and market pricing rather than on monetary policy.

Use this skill when the G7 is the frame. Not this skill when:

RequestUse instead
One G7 country in depthCountry analysis
Broader or different regions (EM, Asia ex-Japan)Regional comparison
Sectors rather than economiesCross-sector comparison
A macro theme across bordersThematic research

If the user supplied a focus (equities, rates, FX, credit), lead the market-implications section with it. Otherwise cover all four at a broad level.

Data foundation (plugin tools)

ToolPurposePrerequisite
bigdata_country_tearsheetEconomic data and built-in G7 comparison where availableNone
bigdata_searchIndicators, policy, market positioning per memberNone

Required on every call: pass plugin_slug: "bigdata-g7-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-g7-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 — Indicators for each member

Pull the same indicators for all seven so the table is like-for-like: GDP growth, CPI inflation, unemployment, policy rate, and fiscal position (deficit and debt/GDP).

  • "[Country] GDP growth economic outlook 2026"
  • "[Country] inflation CPI consumer prices"
  • "[Country] unemployment labor market"
  • "[Country] government deficit debt to GDP"

Where a figure is unavailable for one member, write "Not available" rather than leaving the comparison lopsided.

Step 2 — Central bank stance and rate paths

  • "Fed ECB BOJ BOE rate decision outlook"
  • "[Country] central bank policy rate path expectations"
  • "G7 monetary policy divergence"

Capture the last action, current guidance, and market-implied path for the Fed, BoJ, ECB, BoE, and BoC. Policy divergence across the bloc is usually the single most important driver of relative returns — treat it as a headline finding, not a footnote.

Step 3 — Comparative economic analysis

  • "G7 economic comparison GDP growth rates"
  • "G7 inflation comparison"
  • "G7 fiscal position debt sustainability"

Identify who is leading and lagging on growth, who is winning and losing the inflation fight, and whose fiscal position constrains policy.

Step 4 — Market positioning

  • "G7 equity market valuations comparison"
  • "G7 sovereign bond yields comparison"
  • "USD EUR JPY GBP CAD currency outlook"
  • "credit spreads investment grade high yield [region]"

Cover equity valuations, 10-year yields and curve shape, currency levels and outlook, and credit where relevant.

Step 5 — Divergence and convergence themes

Name the 2–3 themes running through the bloc — for example policy divergence, fiscal stress, energy exposure, demographics, or trade policy — and which members each helps or hurts.

Step 6 — Ranked view

Rank the seven on relative attractiveness for the user's focus (or overall), with a one-line reason each and the key risk to the ranking.

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:

  • All seven members present in the indicator table, on the same metrics, with gaps marked "Not available"
  • Euro-area members differentiated on fiscal position, growth, and market pricing — not treated as one country
  • Central bank divergence treated as a headline driver
  • A ranked view delivered, with reasons and the key risk
  • Every claim from a source carries an inline citation and appears in the Sources table

來源與署名

來源:Bigdata-com/bigdata-plugins-marketplace位於plugins/bigdata-com/skills/bigdata-g7-comparison提交2a52a00

授權條款: 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

檢舉或申請下架