Import Price Pass-Through

What Is Import Price Pass-Through?

Import price pass-through (also called exchange rate pass-through, or ERPT) quantifies how much a given percentage change in a country's exchange rate or in the price of imported goods ultimately flows through into domestic CPI, PPI, and core inflation measures. A pass-through coefficient of 0.3 means that a 10% depreciation in the domestic currency raises consumer prices by approximately 3% over a defined horizon, typically 12–24 months.

Pass-through operates through two distinct channels. The direct channel captures the immediate rise in the landed cost of imported consumer goods — clothing, electronics, food — that follows a currency depreciation. The indirect channel is slower and more insidious: higher import costs for intermediate inputs (steel, chemicals, energy) are absorbed by domestic producers and gradually repriced through the supply chain before appearing in final consumer prices. The relative weight of these channels varies by economy. In highly integrated manufacturing hubs like South Korea or Germany, indirect pass-through through intermediate goods can equal or exceed the direct effect. The time profile also differs: direct effects peak around 3–6 months, while indirect supply-chain effects often take 9–18 months to fully materialize in headline inflation.

The invoicing currency of trade is an underappreciated determinant of pass-through speed. When trade is invoiced predominantly in US dollars — as is the case for most commodity and EM trade — a depreciation of the local currency against the dollar transmits almost instantaneously into import costs, regardless of the bilateral exchange rate with the actual trading partner. This "dominant currency pricing" framework, formalized by Gita Gopinath and colleagues at Harvard, helps explain why dollar strength is a global inflation shock for EM economies even when their bilateral trade relationships are with the Eurozone or China.

Why It Matters for Traders

For macro traders, pass-through is the analytical bridge between FX moves and inflation surprises, and by extension, between currency markets and rates markets. A country running a large current account deficit that experiences sharp currency depreciation faces a materially larger inflation shock than its headline import share might imply if pass-through coefficients are elevated. This dynamic sits at the heart of EM currency crises, where currency weakness and inflation become mutually reinforcing — forcing central banks into painful rate hikes that compound growth deterioration.

In developed markets, pass-through calibration matters most when traders are assessing central bank reaction functions. If the Fed's internal models assume pass-through coefficients of 0.1–0.15 but the dollar weakens 10% simultaneously with a commodity price surge, upside CPI surprises become systematically likely over the following two to four quarters. This is a classic setup for long breakeven inflation trades via TIPS or inflation swaps, and it underpinned much of the 2021–2022 inflation trade. Conversely, an abrupt dollar strengthening cycle — as seen in 2022 when the DXY rallied roughly 15% — argues for downside pressure on goods inflation with a 6–12 month lag, a factor that contributed to core goods CPI deflation resuming through 2023.

Pass-through also interacts critically with central bank credibility. Where long-run inflation expectations are firmly anchored — as measured by 5y5y inflation swap rates remaining stable — firms and workers do not fully reprice in response to import cost pressures, compressing realized pass-through. A credibility shock that de-anchors expectations can cause nonlinear, abrupt increases in effective pass-through, a phenomenon observed in Turkey between 2021 and 2022 when repeated unorthodox rate cuts caused the lira to collapse and inflation to surge past 80% year-over-year.

How to Read and Interpret It

Pass-through coefficients are estimated from academic research, central bank working papers, or proprietary macro models, and they vary considerably across economies and time periods. Practical benchmarks:

• Small open economies (New Zealand, Sweden, Czech Republic): coefficients of 0.4–0.7 over a 2-year horizon, reflecting high import intensity and limited pricing power
• Large semi-closed economies (US, Eurozone): historically 0.1–0.3, though Fed and ECB research published post-2022 revised these upward toward 0.2–0.4 under supply-constrained conditions
• Emerging markets with credibility deficits: coefficients routinely exceed 0.8 and can approach 1.0 during crisis episodes

Traders should track the US Import Price Index (published monthly by the Bureau of Labor Statistics) and specifically the ex-petroleum sub-index, which strips out volatile energy and provides a cleaner read on goods price transmission. The standard analytical lag is 3–9 months from a significant FX move to its visible imprint on core goods CPI. Plotting the DXY on a 9-month lead against core goods CPI has historically produced a strong negative correlation, giving traders a probabilistic forward view on goods inflation.

Historical Context

The post-COVID inflation episode of 2021–2023 is the most instructive modern case study. The US import price index surged more than 11% year-over-year by mid-2021 as supply chain bottlenecks combined with a 20–25% rally in broad commodity indices. Core goods CPI — structurally negative for nearly a decade as globalization relentlessly compressed goods prices — reversed sharply and peaked above 12% year-over-year in February 2022. Fed researchers published revised pass-through estimates in 2022 acknowledging that the globalization-driven suppression of ERPT had partially reversed under supply-constrained, high-demand conditions, catching models that relied on 2010s-era coefficients significantly off guard.

The 1997–98 Asian financial crisis remains the canonical EM reference point. Thailand's baht depreciated roughly 55% from July 1997 to January 1998; Indonesian rupiah losses exceeded 80% at the trough. CPI inflation in Indonesia subsequently reached approximately 78% year-over-year by mid-1998 — near-complete pass-through compounded by domestic supply disruption and collapsing central bank credibility. Thailand's outcome was more contained — inflation peaked near 10% — partly because the Bank of Thailand maintained tighter monetary policy, illustrating how institutional response modulates the realized coefficient.

The 2022 sterling crisis offers a more recent developed-market example. Following the Truss government's mini-budget, GBP/USD fell roughly 10% in weeks. UK import price inflation, already elevated, received a further uplift that kept UK CPI above 10% into early 2023 even as US inflation was decelerating — a divergence that informed relative value trades in UK versus US rates.

Limitations and Caveats

Pass-through coefficients are not structural constants and should never be treated as fixed inputs in a forecasting framework. They shift materially with:

• Competitive dynamics: In highly competitive import markets, foreign exporters absorb exchange rate moves through margin compression (pricing-to-market) rather than passing them to consumers, suppressing measured pass-through
• Inflation regime: In low-inflation environments, firms hesitate to raise prices for fear of losing market share; in high-inflation environments, pass-through accelerates as repricing becomes normalized
• Central bank credibility: As noted, a credibility shock can cause step-change increases in realized pass-through that linear models entirely miss
• Commodity price direction: Currency depreciation coinciding with commodity price declines can produce near-zero net pass-through, masking the underlying coefficient entirely

The pricing-to-market behavior of large multinationals also means official import price indices frequently understate eventual consumer-level impact. A multinational may invoice to its subsidiary at a managed transfer price that doesn't immediately reflect FX reality, with the adjustment coming months later through renegotiated contracts.

What to Watch

• US Import Price Index ex-petroleum (monthly, BLS): the cleanest leading indicator for core goods CPI with a 6–9 month lag
• DXY trend on a 9-month lead: a sustained 5%+ move in either direction is typically sufficient to generate a statistically significant goods CPI impulse
• EM central bank FX reserve drawdowns and intervention intensity: heavy intervention signals that authorities are deliberately suppressing pass-through, compressing the near-term inflation read but building deferred pressure
• Supply chain stress indicators — Baltic Dry Index, container shipping rates, ISM and PMI supplier delivery times — which amplify pass-through during disruptions and dampen it during normalization
• 5y5y inflation swap rates and survey-based inflation expectations in the relevant country: stability signals that pass-through will remain contained; drift higher is an early warning of de-anchoring and nonlinear pass-through risk