The Weekly Leading Index (WLI) of the Economic Cycle Research Institute (ECRI) slipped fractionally in the latest public data. It is now at 127.2 versus the previous week's 127.4. See the WLI chart in the Appendix below. However, the WLI annualized growth indicator (WLIg) rose, now at 4.6, up from last week's 3.9. WLIg has been in expansion territory since August 24th, although it is off its high at 6.0 on October 12th.
ECRI continues to post its proprietary indicators on one-week delayed basis to the general public, but they aren't publicly discussing them. Instead ECRI's Lakshman Achuthan has switched focus to his company's version of the Big Four Economic Indicators I've been tracking for the past several months. See, for example, this CNBC video that ECRI has posted on their website.
And here are links to the November 29th TV interviews in which Achuthan reaffirmed his company's recession call, now pinpointing July as the business cycle peak. That would put us in the sixth month of a recession.
ECRI's December 7th article, The Tell-Tale Chart, makes clear the focus on the Big Four.
The Big Four Indicators that I track includes real retail sales based on the same formula as the Federal Reserve economists (see this PDF file for details). By this metric, sales continued to increase until October, the data for which was significantly impacted by Hurricane Sandy, but then bounced back in November.
In contrast, ECRI uses Manufacturing and Trade Sales data, which is updated monthly along with the BEA's Personal Consumption and Expenditures release. However, the numbers lag by one month from the other PCE data. The series is available on the BEA website. See Section 0 - Real Inventories and Sales and look for Table 2BU.
Here is a side-by-side comparison of the two measures of sales showing the percent off the all-time high.
Here is a closer look at the pair since 2010. I've used markers to clarify the monthly changes. Note that the latest Manufacturing data, released Friday, is through October. The Real Retail Sales data I track includes November.
My Personal View...
The US economy has been walking a tightrope much of this year. The average of the Big Four indicators has been wavering around a flat-line for the past several months (the gray line in the chart below). However, the rebound in Friday's release of the November Personal Income data showed a significant improvement. And this follows a strong rebound in November Industrial Production reported last week. In my opinion the economic data does not support a recession call. If we have reasonably good holiday sales, recession risk declines further. Of course, our politicians could torpedo the economy by mishandling the Fiscal Cliff budget issues.
In sticking with their recession call, ECRI can take some temporary solace in their use of Manufacturing Data and Trade Sales, which won't include November data until the end of January. But the November strength exhibited by Personal Incomes and Industrial Production certainly undermines their recession call.
As for the recent data, of course they are subject to revision, so we must view these numbers accordingly.
Appendix: A Closer Look at the ECRI Index
The first chart below shows the history of the Weekly Leading Index and highlights its current level.
For a better understanding of the relationship of the WLI level to recessions, the next chart shows the data series in terms of the percent off the previous peak. In other words, a new weekly high registers at 100%, with subsequent declines plotted accordingly.
As the chart above illustrates, only once has a recession occurred without the index level achieving a new high -- the two recessions, commonly referred to as a "double-dip," in the early 1980s. Our current level is 11.9% off the most recent high, which was set over five years ago in June 2007. We're now tied with the previously longest stretch between highs, which was from February 1973 to April 1978. But the index level rose steadily from the trough at the end of the 1973-1975 recession to reach its new high in 1978. The pattern in ECRI's indictor is quite different, and this has no doubt been a key factor in their business cycle analysis.
ECRI, however, has "walked the plank" with the company's recession call. And and at this point there's no "Peter Pan" recession to save them from a sea of crocodiles.
The WLIg Metric
The best known of ECRI's indexes is their growth calculation on the WLI. For a close look at this index in recent months, here's a snapshot of the data since 2000.
Now let's step back and examine the complete series available to the public, which dates from 1967. ECRI's WLIg metric has had a respectable record for forecasting recessions and rebounds therefrom. The next chart shows the correlation between the WLI, GDP and recessions.
The History of ECRI's Latest Recession Call
ECRI's weekly leading index has become a major focus and source of controversy ever since September 30th of last year, when ECRI publicly announced that the U.S. is tipping into a recession, a call the Institute had announced to its private clients on September 21st. Here is an excerpt from the announcement:
|Early last week, ECRI notified clients that the U.S. economy is indeed tipping into a new recession. And there's nothing that policy makers can do to head it off. |
ECRI's recession call isn't based on just one or two leading indexes, but on dozens of specialized leading indexes, including the U.S. Long Leading Index, which was the first to turn down - before the Arab Spring and Japanese earthquake - to be followed by downturns in the Weekly Leading Index and other shorter-leading indexes. In fact, the most reliable forward-looking indicators are now collectively behaving as they did on the cusp of full-blown recessions, not "soft landings." (Read the report here.)
Year-over-Year Growth in the WLI
Triggered by another ECRI commentary, Why Our Recession Call Stands, I now include a snapshot of the year-over-year growth of the WLI rather than ECRI's previously favored method of calculating the WLIg series from the underlying WLI (see the endnote below). Specifically the chart immediately below is the year-over-year change in the 4-week moving average of the WLI. The red dots highlight the YoY value for the month when recessions began.
As the chart above makes clear, the WLI YoY, now at 3.2%, down from 3.7% the previous week. Nevertheless, this is higher than at the onset of all but one of the seven recessions in the chart timeframe. The second half of the early 1980s double dip, which was to some extent an engineered recession to break the back of inflation, is a conspicuous outlier in this series, starting with a WLI YoY at 4.1%.
Additional Sources for Recession Forecasts
Dwaine van Vuuren, CEO of RecessionAlert.com, and his collaborators, including Georg Vrba and Franz Lischka, have developed a powerful recession forecasting methodology that shows promise of making forecasts with fewer false positives, which I take to include excessively long lead times, such as ECRI's September 2011 recession call.
Here is today's update of Georg Vrba's analysis, which is explained in more detail in this article.
Earlier Video Chronology of ECRI's Recession Call
- September 30, 2011: Recession Is "Inescapable" (link)
- September 30, 2011: Tipping into a New Recession (link)
- February 24, 2012: GDP Data Signals U.S. Recession (link)
- May 9, 2012: Renewed U.S. Recession Call (link)
- July 10, 2012: "We're in Recession Already" (link)
- September 13, 2012: "U.S. Economy Is in a Recession" (link)
Note: How to Calculate the Growth series from the Weekly Leading Index
ECRI's weekly Excel spreadsheet includes the WLI and the Growth series, but the latter is a series of values without the underlying calculations. After a collaborative effort by Franz Lischka, Georg Vrba, Dwaine van Vuuren and Kishor Bhatia to model the calculation, Georg discovered the actual formula in a 1999 article published by Anirvan Banerji, the Chief Research Officer at ECRI: The three Ps: simple tools for monitoring economic cycles - pronounced, pervasive and persistent economic indicators.
Here is the formula:
"MA1" = 4 week moving average of the WLI
"MA2" = moving average of MA1 over the preceding 52 weeks
WLIg = [m*(MA1/MA2)^n] - m