Business-Cycle Risk Has Not been Raised
The downshift in US economic output in the first quarter hasn’t raised business-cycle risk, based on the latest economic updates.
A proprietary set of analytics developed by CapitalSpectator.com show that the probability remains virtually nil that a recession has started or is imminent.
The low-risk macro profile will likely be confirmed in the April report of the Chicago Fed National Activity Index (CFNAI), which is scheduled for release on Monday (April 21). Numbers published to date point to a strong likelihood that CFNAI’s three-month average will hold well above the -0.70 mark that signals the start of downturns.
Meanwhile, several econometric models continue to project a solid gain for second-quarter GDP. For example, Now-casting.com today estimates Q2 growth will be 3.65%, a strong improvement over Q1’s 2.3% increase. The Atlanta Fed’s GDPNow model is looking for an even faster 4.1% gain in Q2, based on the May 16 update. It’s still early in the current quarter and so any projections should be considered preliminary at this stage, but for the moment the outlook is bright.
Given the upbeat backdrop, it’s no surprise that The Capital Spectator estimates a near-zero chance that a new downturn started in April, based on a diversified set of economic indicators. (For a more comprehensive review of the macro trend on a weekly basis, see The US Business Cycle Risk Report.)
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Aggregating the data in the table above translates into a strong positive trend overall. The Economic Trend and Momentum indices (ETI and EMI, respectively) remain well above their respective danger zones (50% for ETI and 0% for EMI). When/if the indexes fall below those tipping points, the declines will mark clear warning signs that recession risk is elevated and a new downturn is imminent. The analysis is based on a methodology that’s profiled in my book on monitoring the business cycle.
Translating ETI’s historical values into recession-risk probabilities via a probit model also points to low business-cycle risk for the US through last month. Analyzing the data in this framework indicates that the odds remain effectively zero that NBER will declare April as the start of a new recession.
For the near-term outlook, consider how ETI may evolve as new data is published. One way to project values for this index is with an econometric technique known as an autoregressive integrated moving average (ARIMA) model, based on calculations via the “forecast” package in R. The ARIMA model calculates the missing data points for each indicator for each month — in this case through June 2018. (Note that February 2018 is currently the latest month with a complete set of published data for ETI.) Based on today’s projections, ETI is expected to remain well above its danger zone through next month.
Forecasts are always suspect, but recent projections of ETI for the near-term future have proven to be reliable guesstimates vs. the full set of published numbers that followed. That’s not surprising, given ETI’s design to capture the broad trend based on multiple indicators. Predicting individual components, by contrast, is subject to greater uncertainty. The assumption here is that while any one forecast for a given indicator will likely be wrong, the errors may cancel out to some degree by aggregating a broad set of predictions. That’s a reasonable view, based on the generally accurate historical record for the ETI forecasts in recent years.
The current projections (the four black dots in the chart above) suggest that the economy will continue to expand. The chart also shows the range of vintage ETI projections published on these pages in previous months (blue bars), which you can compare with the actual data (red dots) that followed, based on current numbers.
For more perspective on the track record of the ETI forecasts, here are the vintage projections in the past three months:
Note: ETI is a diffusion index (i.e., an index that tracks the proportion of components with positive values) for the 14 leading/coincident indicators listed in the table above. ETI values reflect the 3-month average of the transformation rules defined in the table. EMI measures the same set of indicators/transformation rules based on the 3-month average of the median monthly percentage change for the 14 indicators. For purposes of filling in the missing data points in recent history and projecting ETI and EMI values, the missing data points are estimated with an ARIMA model.