Lakshman Achuthan of Economic Cycle Research Institute toured the TV
circuit again yesterday to revive and defend his firm's long-standing
forecast that recession risk is high (see interviews on Bloomberg, and Yahoo Finance).
He asserted that the recession started several months ago, noting that
this past July marks the peak in the current business cycle for the U.S.
The supporting evidence for this analysis, he explained, is patently
clear in the behavior of three indicators. It all sounds plausible, but
there's plenty of room for doubt too. The main problem is the ambiguity
of the model, as it was outlined. Transparency and clarity regarding the
underlying process are essential in business cycle analysis,
particularly if you're arguing in no uncertain terms that the forecast
is a virtual certainty. Essential, that is, if you're trying to evaluate
the legitimacy of the prediction. Unfortunately, those features were in
short supply in yesterday warnings.
[Related -Watch This Alternative Investment for a Buy Signal]
It doesn't help Achuthan's position that ECRI's recession forecast has been kicking around since September 2011, when the firm warned
that "the U.S. economy is indeed tipping into a new recession" and "if
you think this is a bad economy, you haven't seen anything yet." By most
accounts, the recession has yet to arrive. But Achuthan begs to differ
and says the proof is now visible in three indicators: industrial
production, personal income, and sales (manufacturing, wholesale and
retail). As an accompanying ECRI essay published yesterday explains:
Reviewing the indicators used to officially decide U.S.
recession dates, it looks like the recession began around July 2012.
This is because, in retrospect, three of those four coincident
indicators – the broad measures of production, income, employment and
sales – saw their high points in July (vertical red line in chart), with
only employment still rising.
[Related -US REITs Edged Higher Last Week As Emerging Markets Slumped]
The "tell-tale chart," according to ECRI, is as plain as the nose on your face. Judge for yourself:
Note that employment isn't signaling a recession, as Achuthan readily
concedes. But the other three indicators have peaked, he says, and so
the writing is on the wall. July 2012 was the turning point.
The problem is that it's not obvious how ECRI came up with this
analysis. Yes, it appears that industrial production, income and sales
have peaked. But if you spend any time looking at the historical records
of economic indicators you know that peaks in the data come and go
fairly regularly without the start of recessions. How can we filter the
numbers to elicit clearer signals? There are several methodologies that
can enhance clarity, even though nothing is flawless. We can also remain
skeptical of what's likely to lead us astray, starting with the shaky
notion that looking at indicators in recent history, without benefit of
crunching numbers for relative changes, is a short cut to clarity.
Note that the data presented above in ECRI's chart is the actual
values of the indicators and not changes. Evaluating data series this
way in search of business cycle insight is problematic for several
reasons. Unfiltered data of this nature often looks menacing when it
isn't. For example, consider industrial production's 10-year history. As
you can see, there were several times when it looked like this
indicator was rolling over only to resume its upward bias. To further
complicate matters, industrial production was trending higher in
late-2007, just as the last recession commenced.
This challenge is endemic to most, if not all economic and financial
indicators. One way to filter out some of the noise is by looking at
year-over-year changes. Let's take another look at industrial production
on a rolling one-year-percentage-change basis. In the next graph below,
industrial production seems to show a cleaner signal around and below
the zero mark in connection with recessions.
The signal is a bit clearer, but there's still the issue of
timeliness. What to do? Plugging a carefully selected array of
indicators into a diffusion index and tracking the broad trend—primarily
on a year-over-year basis, albeit with some exceptions—enhances the
aggregate signal a bit more in terms of clarity and timing. It's still a
lagging signal, but only marginally so if you do the analysis
correctly. The tradeoff is that you have a higher level of confidence in
the data analysis. In fact, this approach is a regular feature on these
pages via the updates of The Capital Spectator Economic Trend Index
(CS-ETI), with a recent update published here.
CS-ETI is no silver bullet, although it offers a solid starting point
for deeper analysis—a baseline, if you will, for business cycle
research and evaluating the risk of recession. Even so, bit of humility
One of the big problems in the grand scheme of economic predictions
is the assumption that recessions are always predictable events well in
advance. If we're looking out a few months, there's a reasonable
argument that risk can be assessed with some degree of confidence. For
example, I run a number of econometric applications that analyze the
economic trend from several angles for clues about where the data's
probably headed in the next one to three months. This is useful as an
exercise for assessing risk, particularly if you track and analyze the
But what you can't do is look ahead six months, 12 months, 18 months
down the road and reasonably argue that the economy will peak, or not.
There are simply too many unknowns when you're gazing that far into the
In fact, it's really, really hard to call business cycle peaks with a
high level of confidence before there's confirming data to back up your
claim. Many have tried, and failed. The record on this front is quite
clear, as many studies remind. The next best thing is looking for high
confidence signals as early as possible that the economy has recently
peaked. This type of analysis can be supplemented to a degree with
econometric applications that assess the near-term future.
The dirty little secret in business cycle analysis is that the risk
of missing the start of a recession is no less threatening than crying
wolf far in advance. Both of these extremes tend to come with a high
price in opportunity costs. The good news is that a compromise between
these two extremes is practical and, in many respects, the only game in
town. It takes quite a lot of work, however, and the analysis doesn't
lend itself to dramatic headlines. But if you're looking for genuine
perspective on how the big picture's unfolding, that's a small price to
So, yes, ECRI's latest warning that the recession is underway may
prove accurate. It's clear that the economy is vulnerable on several
fronts. But that was also true in September 2011. Has the beast finally
arrived? Possibly, although the econometric evidence isn't compelling,
at least not yet. When it is, you'll read about it here.