The three-month average of the Chicago Fed National Activity Index (CFNAI) is expected to increase slightly to -0.07 in the March update that’s scheduled for Monday (Apr. 20), based on The Capital Spectator’s median point forecast for several econometric estimates. The projection is incrementally above the -0.08 reading for February, which reflected a a mildly below-average pace of economic growth for the US relative to the historical trend. Only negative values below -0.70 indicate an “increasing likelihood” that a recession has started, according to guidelines from the Chicago Fed. Using today’s estimate for March as a guide, CFNAI’s three-month average is expected to remain at a rate of growth that’s slightly below the historical trend.
Here’s a closer look at the numbers, followed by brief definitions of the methodologies behind The Capital Spectator’s projections that are used to calculate the median forecast:
VAR-4A: A vector autoregression model that analyzes four economic time series to project the Chicago Fed National Activity Index: the Capital Spectator’s Economic Trend & Momentum Indexes, the Philadelphia Fed US Leading Indicator, and the Philadelphia Fed US Coincident Economic Activity Indicator. VAR analyzes the interdependent relationships of these series with CFNAI through history. The forecasts are run in R with the “vars” package.
VAR-4B: A vector autoregression model that analyzes four economic time series to project the Chicago Fed National Activity Index: US private payrolls, real personal income less current transfer receipts, real personal consumption expenditures, and industrial production. VAR analyzes the interdependent relationships of these series with CFNAI through history. The forecasts are run in R with the “vars” package.
ARIMA: An autoregressive integrated moving average model that analyzes the historical record of the Chicago Fed National Activity Index in R via the “forecast” package.
ES: An exponential smoothing model that analyzes the historical record of the Chicago Fed National Activity Index in R via the “forecast” package.