July 15, 2025

US: June 2025 CPI – Nailed It!

Models Are Saying Acceleration Might Be Coming Soon

In a nutshell: All it would take is one “unlucky” month for the Federal Reserve—meaning a month where idiosyncratic disinflationary shocks are absent—for us to see very large month-over-month increases in core CPI (as high as 5% ar). And we believe that scenario might not be far off. Ultimately, it appears that the impact of tariffs is beginning to show in the data and is likely to persist throughout the summer. If this assessment proves accurate, we would subjectively assign a near-zero probability to the Fed cutting rates in September—unless there is an extremely weak non-farm payroll (NFP) report, akin to an economic “recession.”

A PDF containing all relevant CPI charts has been posted. You can download it here.

Evidence from the distributions

The distribution remains unfavorable and inconsistent with the target. This month, the distribution is more dispersed than last month and remains very different than pre-Covid (see ridge plot). The median (Figure 2) moved  up significantly. As shown in Figure 1, the overall picture remains unchanged: the distribution continues to differ from the pre-Covid pattern, with little progress over the past nine months. We will monitor closely the distribution to assess the impact of the upcoming tariffs.

Figure 1. Kernel of CPI excluding food and energy items changes (MoM %, a.r.)

Note: the Figure shows the fitted Kernel (Epanechnikov) distribution of MoM percent changes at annual rate of CPI prices excluding food and energy items.

Figure 2.  Median (core) CPI metrics

Note: the Figure shows the median (MoM %, a.r.) of the distribution of CPI prices changes excluding food and energy items (left panel) and the YoY (right panel).

Evidence from our CI-C model

Our CI model estimates that, excluding idiosyncratic shocks, the common component is very high. Figure 3 illustrates the decomposition of the MoM core CPI into “common” and “idiosyncratic” components. This month, the model estimates that the common component increased by 40bps, the highest reading since March 2023 (!), while the idiosyncratic shock was negative (-17bps). The 3m/3m of the “common” component (Figure 4) stands at 2.8%. Overall, the CI model indicates a strong common component, masked by a string of 5 negative idiosyncratic shocks in the last 5 months. We invite everyone to be extra careful, as it is likely to have a strong core CPI MoM reading in near-term going forward.

An Excel file containing the results shown in Figure 3 and 4 can be downloaded here.

Figure 3. Contributions to MoM changes of CPI excluding food and energy items (CI model)

Note: the Figure shows the decomposition of the MoM percent changes of CPI prices excluding food and energy items. The contributions are estimated using our CI model.

Figure 4. Estimated “Common” component: YoY, 3m/3m a.r. and 6m/6m a.r.

Note: the Figure shows the 3m/3m at annual rate (green line), the 6m/6m at annual rate (red line), and the YoY (blue line) of the “common component” estimated using our CI model.

Implications for the medium-term forecast of core PCE price inflation

The medium-term is unrevised. Compared to the run at the time of the preview, the medium-term “main” model forecast is unrevised, as the data came in as expected.

The model’s latest Q4/Q4 forecasts are as follows: 3.4% in 2025, 3.4% in 2026, and 2.9% in 2027. This forecast remains above the latest SEP.

Figure 5. “Main” Phillips curve model forecast, core PCE price inflation (YoY, %).

Note: the figure shows the latest run of our “main” Phillips curve model. The confidence intervals (C.I.) are estimated using quasi-out-of-sample methods (estimate the model over a sub-sample, forecast, and calculate the root mean squared forecast errors).

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Disclaimer

Trezzi consulting is a Swiss registered firm that offers independent economic and statistical consulting services. Trezzi consulting does not have access to any classified information of any central bank, including the Federal Reserve. All econometric and statistical models included in the packages are either developed in-house or they are based on publicly available documents such as papers and notes.