April 10, 2024

US: March 2024 CPI: Nailed It Again!

The Saga Goes On

Preamble. A Strong Reccomendation: do NOT pay any attention to the sell-side “stories” for each CPI component. Think about it: the only thing that matters, as we always say, is the distribution of price changes (more appropriately, pi*). Today’s CPI was, once again, a confirmation that our approach is simple but it is superior; The “stories” you hear are for social media and… for the show.

Table 1. Updated MoM (sa) UnderlyingInflation forecast errors in the last 6 months.

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

Evidence from the distributions

Distribution, still unfriendly. This month, all percentiles of the distribution moved down, but the distribution is way more disperse (ridge plot here). The median (Figure 2) moved down compared to February and remains very volatile.

In the last three months (black line in Figure 1) the distribution shows movements to the right and a thicker right tail. The shape of the distribution continues to be different than pre-Covid. For this reason, as we wrote in previous notes, we remain careful in declaring victory or claiming that 2% is around the corner. It cannot be done right now. If anything, the evidence in Figure 1 indicates that the US economy continues to be more consistent with an inflation rate above target (3%+) going forward.

Please, note that the last paragraph is identical to what we wrote last month and the previous several months. On the other hand, the distribution in PCE space is more friendly. Put it simply: the distribution in core CPI space suggests a 3%+ reading, while in core PCE space it suggests around 2.5%. If the reader is still unconvinced, another way of putting it is the following: we need to disinflate services ex rents/OER and they are still accelerating (see here the metrics).

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 net of Covid and idiosyncratic shocks, the common component in March is solid. Figure 3 shows the decomposition of the MoM of core CPI in the “common” vs “idiosyncratic” component.  The model estimates that in March the common component increased by 28bps, while the idiosyncratic shock is also positive (8bps). The common component expanded at a solid pace. The 3m/3m of the “common” component (Figure 4) is around 3%. Overall, the evidence of the CI model suggests that the “true” underlying pace of the data remains well above target and possibly around 3% (ar).

Figure 3. Contributions to MoM changes of CPI excluding food and energy items (CI-C 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-C model, a 2-stage OLS-LASSO regression 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-C model.

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

The medium-term forecast of core PCE price inflation is largely unrevised. Compared to last run, the model forecast is largely unrevised. We are working under the Q1 nowcast of 3.5% (QoQ saar). Conditional on this, the model forecast is: 3.0% (Q4/Q4) in 2024, 2.65% in 2025, and 2.6% in 2026. This forecast is now above the latest SEP at every horizon.

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).

Implications for the Fed Board staff and the FOMC

Fed on hold. The problem is not today’s CPI. The problem is bigger. In this cycle, we have been on the (very) inflationista/hawkish side. We turned more dovish toward the end of last year when the core PCE distribution started to cooperate. But, if anything, the problem in core CPI only got worse in recent months. Right now, it remains difficult to see core PCE averaging 2% going forward.

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