2/x I'm not delving into statistical adjustments, this is about the real backdrop & whats driving overall trends. From that I'll draw some clarifying conclusions.
Here's the recent payrolls numbers charted. The trend shows payrolls normalizing down from elevated levels w/ chop
3/x Why were they elevated at the beginning of '22? Its all about the re-hiring of workers laid off during COVID. This is still on going.
The Chart shows US Total Employed. The US shed ~15% of its workforce as COVID hit and only recently surpassed 2019 levels, now +2% vs then.
4/x Has re-hiring finished? NO and thats what is continually surprising the economists payrolls forecasts.
Trend can be looked at many ways. Simplistically, the past employment trend could put normal employment at 159m, +4m workers higher than now
5/x If we look at it in GDP terms, then we can see a similar dynamic
This chart shows real GDP per employed person & highlights that its still elevated above long term trends following the COVID handouts, fiscal spend and monetary looseness
Companies are still running...
6/x
...understaffed relative to their output/sales but with GDP/employed normalizing down since 2021, its likely this needs to decline more before businesses feel real pressure (due to margins/earnings) to fire workers.
Which industries are still in hiring mode?
7/x Government, Retail and Leisure/hospitality are the 3 areas still well under 2019 employment levels. Leisure was the big one driving ~30% of Jan's payrolls gain. Retail is not really net hiring again but govt is slowly.
8/x How does this compare to international employment trends?
Countries like Australia took a different approach to employment over COVID with job protection schemes that reduced layoffs and hastened rehiring.
Here's where Australia is now as an example reinforcing that the...
9/x US has more re-hiring to go. Australian total employment is +6% vs 2019 pre COVID levels vs the US at +2%
This is because Australia only shed 7% of its workforce & as "Jobkeeper" was instigated quickly, rehired those workers before they could move, emigrate, retire etc.
10/x Back to the US however and despite the rehiring trend post COVID still ongoing, we do still see evidence of the expected economic cycle playing out:
Contraction in the NAHB Home index, ISM manufacturing, ISM services and yield curve inversion
I always like this chart...
11/x which shows the cyclical forces at play that would be expected in a rate hike cycle. Rates, up, home building tails off followed by cyclical industry unemployment.
In this cycle, we simply need to understand that the COVID rehiring dynamic is at play delaying the impact...
12/x of the rate cycle on employment statistics.
When we see the intersection of the rehiring dynamic having played out, coupled with full lagged impacts of the rate hikes, then I'd expect "normal" recessionary trends to start to be seen...
13/x Unemployment rises, spending & GDP falls, the Fed cuts rates, corporate earnings fall, stocks fall.
The hardest part is knowing when that will be. Inflation is still supporting nominal earnings but it is receding.
Recent high freq data suggests the CPI glide path down...
14/x may be about to slow. We may see YoY CPI for Jan in line with December & only a small decline in Feb data given food and fuel prices rising.
CPI declines will likely be greater in Mar & April data as that cycles the worst from the prior year. But...
15/x we need to watch oil prices and any China consumption effects on commodities closely for threats of a new inflation wave that results in more rate hikes.
Meanwhile, it may take 9+ mths for that COVID rehiring of another 3-4m jobs to play out behind the scenes
So...
16/x
DON't be surprised if the term "soft-landing" remains around for a while before the rug being pulled in Q3 or Q4 this year.
If this is useful insight, consider pre-registering for the HedgQuarters.com platform launch this year.
Macro to micro connecting the dots
17/17 As a P.S., if you're wondering where all this labor can come from with unemployment at decade lows, it has to be from the participation rate normalizing upwards.
Pre COVID it was 63.3%, before the GFC 66%. Today 62.4%.
As savings disappear, people come out of retirement.
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2/ But less well understood is that under the payroll strength is both falling Hires and Separations.
With labor demand still strong, Quits remain elevated and Layoffs low. But Hires & Separations have both already normalized back to 2019 levels.
3/ From here, we may well see Separations flatten (already apparent) with reducing Quits as conditions soften (people hold onto jobs) offset by rising Layoffs.
However Hires are likely to continue to fall based on 2 things shown below: Employment intentions & Sales expectations
Renowned investors like Stanley Druckenmiller routinely monitor the performance of Cyclicals vs Defensives as a signal for #stocks, $SPY and #macro economy.
At HQ, we use the following monitor (chart). Whats it telling us now? a 🧵
2/ Lets focus on whats happened, before future expectations
The top panel of the chart shows the relative performance of Cyclical sectors over Defensive sectors ("CDR")
Panel 3 is the Z-score of the 13 week move in the CDR with 2 std dev movements marked...
3/ The final panel (4) shows the rolling cumulative performance of the CDR mapped against HQ's leading economic leading index ("HQLEI", rolling 13 week chg).
From mid '21, the HQLEI fell for the first time in a yr & this preceded the CDR peaking in Nov 21, signaled by...
1/ In Oct 22 we released our S&P 500 multi factor earnings forecast model based on data releases up to Sept 22. Now with 4-5 months more data we have updated the model and highlight the interesting changes
2/ As always we present 2 scenarios. With variable lags to the impact of rate hikes, these models map out 2 assumption sets:
A. the impact on FUTURE EPS of the latest leading econ data, by extending current settings of leading indicators into the future unchanged "STATIC MODEL"
3/ B. "RECESSION MODEL": the impact on future EPS of both current econ data and a forecast assumption set that maps out a possible recession scenario in the US (assumptions at end)
These 2 models allow investors to assess (1) what a recession may look like to earnings and