Matthew V. Gordon

This paper examines the forecasting efficacy and implications of the recently popular breakdown of core inflation into three components: goods excluding food and energy, services excluding energy and housing, and housing. A comprehensive historical evaluation of the accuracy of point and density forecasts from a range of models and approaches shows that a BVAR with stochastic volatility in aggregate core inflation, its three components, and wage growth is an effective tool for forecasting inflation's components as well as aggregate core inflation. Looking ahead, the model's baseline projection puts core inflation at 2.6 percent in 2026, well below its 2023 level but still elevated relative to the Federal Reserve's 2 percent objective. The probability that core inflation will return to 2 percent or less is much higher when conditioning on goods or non-housing services inflation slowing to pre-pandemic levels than when conditioning on these components remaining above the same thresholds. Scenario analysis indicates that slower wage growth will likely be associated with reduced inflation in all three components, especially goods and non-housing services, helping to return core inflation to near the 2 percent target by 2026.

We study how congressional testimony about monetary policy by the Chair of the Board of Governors of the Federal Reserve System affects interest rates and stock prices. First, we study testimony associated with the Federal Reserve’s Monetary Policy Reports (MPRs) to Congress. Testimony for a particular MPR is usually given on two days, one day for each chamber of Congress. We separately study the first day and second day of MPR testimony. We also study testimonies not associated with MPRs but that are still related to monetary policy. We find that first-day MPR testimonies cause the largest movements in interest rates and generate negative co-movement between interest rates and stock prices. Testimonies not associated with MPRs have similar but weaker effects. Second-day MPR testimonies cause the smallest movements in interest rates and generate no co-movement between interest rates and stock prices.

We study how one form of Federal Reserve communication, the congressional testimony by the Fed Chair, affects interest rates on 2-year and 10-year Treasury Notes.

Models used in this article find that aggregate demand and supply factors such as supply chain disruptions have contributed significantly to recent high inflation.

Economists have pointed to multiple potential drivers of the recent high-inflation environment, and supply chain issues stand out among them.