New York Fed Global Supply Chain Pressure Index (GSCPI)
The synthetic gauge of supply-driven inflation: freight rates plus survey deliveries in standard-deviation units — above zero is pressure, below is slack.
Monthly (around the first week)
What it is
The GSCPI, published monthly by the New York Fed, composites global transport costs (ocean and air freight) with supplier-delivery measures from manufacturing PMIs via principal components, expressed in standard deviations — zero is the historical mean, positive values mean above-average pressure, negative below. Born of the 2020s supply-chain crisis (extremes once exceeded four standard deviations), it is the quantified dashboard of supply-shock inflation — compressing "port congestion / freight spikes" narratives into one comparable number.
Release schedule
| Item | Details |
|---|---|
| • | Frequency: monthly (prior month) |
| • | Release: around the first week (on the NY Fed website, no fixed time) |
| • | Contents: ocean and air freight rates plus supplier-delivery times from multiple PMIs (PCA-synthesized), in standard deviations |
| • | Reading range: 0 = historical mean; positive = above-average pressure; negative = slack (extreme highs appeared post-2020, with deep negatives too) |
| • | Position: a synthesized "bottleneck" gauge — global in scope, not US-only |
Why it matters
The value is quantifying the supply side of inflation: the 2021–22 price surge was widely attributed to "bottlenecks plus stimulus", and the GSCPI standardizes the bottleneck — its correlation with core inflation is strong in supply-led periods (its decline led inflation's). Three uses: judging the supply share of inflation (high GSCPI makes disinflation harder); a single dashboard for normalization progress (the slope down from highs); and cross-validating firms' cost expectations (with PMI delivery components). Limits: global scope, monthly synthetic noise, and blindness to demand-driven inflation.
Impact across assets
Typical impacts (using a hotter-than-expected print):
| Asset | Typical impact |
|---|---|
| US equities | Rising pressure → "supply-driven inflation" worry → marginally higher rate expectations → mild pressure; a decline → "inflation relief" evidence → supported |
| US Dollar Index | Mild — transmits indirectly through inflation expectations |
| Gold | Rising pressure → sticky-inflation narrative → neutral-positive; but if it drives a more hawkish Fed → short-term pressure — separate the time scales |
| Crypto | Follows rate expectations — limited elasticity |
| Treasuries | Rising pressure → marginally higher inflation compensation; a sustained normalization decline draws more attention on inflation pricing |
How to read it
The standard read:
| Dimension | How to read it |
|---|---|
| Versus the zero line | 0 = the historical mean: positive = above-average constraint; negative = slack — distance from zero measured in standard deviations |
| The slope down | The rate of decline from highs = normalization speed — a fast decline leads the supply component of inflation lower |
| Versus core inflation | High GSCPI with hot core inflation = a large supply share (wait for relief); low GSCPI with sticky inflation = demand-driven (needs policy cooling) |
| The meaning of extremes | Beyond 2 standard deviations = historically rare territory (the 2021–22 crisis); deep negatives = slack capacity with soft demand (supply-side disinflation evidence) |
The advanced frame: use the GSCPI as an inflation attributor — split inflation into the supply component (GSCPI) and the demand component (labor market and wages): a falling GSCPI with sticky wages means the "last mile" belongs to demand (the Fed's job); both falling together = both engines easing (an easing window opens). It is also the synthetic terminus of the freight-to-cost-to-price-to-CPI chain.
Limitations & common mistakes
- Treating it as US data: the GSCPI is global (world freight plus multiple PMIs) — US domestic logistics issues are not the core read.
- Ignoring the units: standard deviations — "+1.5" means 1.5 deviations above the mean, not a percentage.
- Taking monthly swings as trend: synthetic indexes are noisy — the 3-month trend is the normalization gauge.
- Using it for demand-side inflation: it measures bottlenecks only — demand-driven inflation (wages/stimulus) needs labor and consumption data.
- Conflating with a single freight index: it synthesizes rates plus delivery times — ocean-only tracking (like SCFI) misses the manufacturing-side signal.
Related macro data
How it links to other macro data:
- With CPI: the GSCPI's decline leads the supply component's relief — a high index is the supply-side explanation for CPI stickiness. cpi
- With ISM Manufacturing: supplier deliveries are a GSCPI input — read both to separate "weak demand" from "supply-chain improvement". pmi
- With the Fed decision: the supply-versus-demand attribution of inflation is a structural FOMC input — a falling GSCPI supports the dovish "wait for supply relief" argument. fed-rate
Symbols most sensitive to Supply Chain Pressure Index
Symbol pages that list this data as a factor to watch:
FAQ
Q When is the GSCPI released?
Around the first week of each month on the New York Fed's website (no fixed time), covering the prior month. It is a research index — the release is not a fixed "event move".
Q What do "standard-deviation units" mean?
The index is scaled around the historical mean (0) in standard deviations: +1.5 = pressure 1.5 deviations above the mean (notably tight); -1.0 = 1 deviation looser. The 2021–22 crisis produced extreme positive readings.
Q How does it relate to inflation?
It quantifies supply-driven inflation: a high GSCPI = bottlenecks lifting business costs → factory prices → CPI; its decline leads the supply component's relief. Demand-driven inflation (wages/stimulus) is invisible to it — attribute separately.
Q What goes into it?
Global ocean and air freight rates plus supplier-delivery times from multiple countries' manufacturing PMIs, synthesized by principal components — a global gauge, not US-specific.
Q How do I use it in trading?
Three uses: inflation attribution (supply versus demand) supporting rate-expectation calls; the single dashboard for normalization progress (the slope); and cross-validation with PMI delivery components. Not an event print — its value lives in macro narrative and inflation-structure frameworks.
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