6 reasons equities likely rally next 8 weeks. Seasonals of "rule of 1st 5 days" implies 4,250 by end of April. With 14.8X P/E (ex-FAANG), S&P 500 not expensive.

The softness in equities since mid-February has not yet reversed, but we believe the window is soon emerging where this softness will give way to an 8-week period where equities will rally strongly. This is a scenario that many investors are hesitant to embrace (more likely skeptical) because of the understandable lack of clarity on inflation trajectory, Fed policy path, earnings risk and general heightened concerns about recession. And as usually is the case, when there is uncertainty, investors lean negative—meaning, the conditions confirm investors leaning bearish or outright bearish.

Here are the reason we see equities gaining in the next 8 weeks:

• The last of the “hot” inflation data was the 4Q ULC (unit labor cost) at +3.2% and beginning next week, will be incoming February economic and inflation data, which we believe will show “softer” jobs and “softer” inflationary pressures. This will reverse, to an extent, the somewhat alarming surge in inflation and jobs data of Jan (part seasonal, part noisy data).
• Fed chair Powell actually kicks off this period with his semi-annual testimony to the Senate Banking Committee and House Financial Services Committee and we expect Powell to reinforce the “data dependent” message. Meaning, +25bp is the path for March FOMC, barring evidence of continued acceleration of inflation (see above). Fed’s Bostic said the same essentially yesterday in his speech.
• The bond market will likely pivot dovish in March. The “hot” Jan inflation data caused the bond market to price in higher odds of +50bp in March and April, and Fed speak seems to be pushing back against that — meaning, Fed is less hawkish than recent move in bonds.
• Falling VIX. If the incoming data tilts the way we expect (“softer”), then bond volatility should fall, which supports a stock rally in March to April. This means VIX could fall, and a falling VIX is supportive of higher equity prices.
• Seasonals are also a strong argument. We have been using the composite of “rule of 1st 5 days” using the 7 precedent years where gains >1.4% in the first 5 days (ala 2023). This composite implied market gains into Feb 16 and a consolidation thru early March (3/7). 2023 is following this pretty closely.
• This same composite now implies March to end of April will be the strongest 8 week period for 2023 with a median gain implied of 7%. If 2023 follows this path, the S&P 500 could reach 4,250-ish by the end of April. By the way, this lines up with the ~4,300 level in the coming weeks.
• I am not sure I agree with those who say the stock market is expensive. I think many cite this as another “confirmation bias” to stay on the sidelines.
• As highlighted earlier this week, ex-FAANG, the P/E (2024) of S&P 500 is 14.8X. And sectors like Energy are 10X and Financials 11X. These are not demanding valuations. And consider the fact that the US 10-yr at 4.0% yield is an implied P/E of a bond of 25X. Yup. The bond market is still far pricier than stocks.
  

CALENDAR: Key incoming data starting March 10

There is lot of incoming economic data this week (durable goods, housing, unit labor costs and ISM) but for the key inflation-related data, there is a bit of a dead spot until early March. As shown below, this really starts March 10th:

• 3/7 10 am ET Powell testifies to Congress Senate Banking Committee
• 3/8 10am ET Powell testifies to Congress House Fin Svcs Committee
• 3/8 10am ET JOLTS Job Openings (Jan)
• 3/10 8:30am ET Feb employment report
• 3/13 Feb NY Fed survey inflation exp.
• 3/14 6am ET NFIB Feb small biz survey

• 3/14 8:30am ET CPI Feb
• 3/15 8:30am ET PPI Feb
• 3/17 10am ET U. Mich. March prelim 1-yr inflation
• 3/22 2pm ET March FOMC rate decision
• 3/31 8:30am ET PCE Feb

JOLTS: Kicks off the “softer” data

The January JOLTS data (it is severely lagged) is set to be released on 3/8 next week at 10am ET. For the past few months, JOLTS job openings has been stubbornly strong relative to other job opening measures from indeed.com to ZipRecruiter to Linkup.

• As the WSJ points out, JOLTs is showing +49% since Feb 2020
• While ZipRecruiter shows +16%
• If JOLTS matched the % gain of ZipRecruiter, job openings would fall to 8 million versus 11 million (JOLTS Dec).
• So, this 3 million differential is a massive gap.

Even the NFIB small business survey shows job filling difficulty is back to April 2021 levels. Yet, JOLTS sees jobs as tight as July 2022.

In case you are wondering, JOLTS and NFIB Job openings have a long history of being synchronized.

• my take?
• job market is tight, but there seems to be a case to be made that the statistical flaws of JOLTS are making it seem far tighter than it is

PAYBACK (aka Calendar): Feb = payback, March+April = Fire

As you know, we are using the composite of the “rule of 1st 5 days” as the template for 2023 — this is a calendar template. The other is the breakaway momentum (see note Monday). And as we flagged earlier this year, Feb is a “payback” month:

• of the 7 precedent instances, Feb is up only 57% of the time, which is worst of any calendar month
• median gain of +0.2% is the worst of any month
• hence, Feb is not a month that investors can arguably see gains
• Feb 2023 sort of validates this template still valid

Next 8 weeks is “buy the dip”

But this same template says March + April should be very good months for stocks:

• win-rate is 100% or 7 of 7 times March is a gain
• Median gain of March and April are the strongest
• Even stronger than January
• Hence, we think the next 8 weeks is a period of “buy the dip”

For those tactically focused, this composite below shows March 7 is the ideal window:

• this coincides with Mark Newton, Head of Technical Strategy, who sees markets chopping here near term
• but this softness is a buy the dip moment, as the next 8 weeks should be among the strongest

VALUATION: Ex-FAANG, S&P 500 P/E is 14.8X, hardly demanding

We hear investors say the market is too expensive. But this is distorted by the higher multiples of FAANG, and we think the higher multiples of FAANG are justified.

• ex-FAANG, P/E is 14.8X
• this is hardly demanding
• Energy is 10.5X, whoa
• so, still think the equity market is expensive?

TECHNOLOGY: Still our favorite Sector pick for 2023

As we noted in our 2023 outlook, Technology is our top sector pick, which we expect to be led by FAANG.

• Technology and FAANG are now established meaningful breakouts as shown below
• this after sliding down the slope of hope in much of 2022
• this reversal has fundamental arguments

TECH EPS: Bottoming before the overall market

The two best performing sectors YTD are:

• FAANG +1,180bp outperformance (vs S&P 500)
• Technology +210bp
• Defensives have been terrible, despite those arguing for a recession
• Tech/FAANG EPS has been slightly better than the overall market
• Thus, leadership is coming from groups with EPS bottoming

7 of 14 sub-groups in Technology seeing upward bias in EPS revisions

Take a look at 2023 EPS in the 14 sub-groups (GICS 4) of Technology.

• Half, or 7 of 14 are seeing upward bias in 2023 EPS revisions
• So, those saying Technology is a “sell” are overlooking that EPS momentum is turning positive

STRATEGY: VIX matters far more for 2023 returns than EPS growth

Our data science team compiled the impact on 2023 equity returns from variables:

• S&P 500 post-negative year (2022)
• the varying impacts of
• VIX or volatility
• USD change
• Interest rates
• EPS growth
• All of the 4 above, positive or negative YoY
• Data is based on rolling quarters and summarized below

The surprising math and conclusions are as follows:

• most impactful is VIX
• Post-negative year (rolling LTM)
• if VIX falls, equity gain is 22% (win ratio 83%, n=23)
• if VIX rises, equity lose -23% (win ratio 14%, n=7)
• I mean, this shows this all comes down to the VIX
• EPS growth has little impact
• If EPS growth is negative YoY (likely), median gain +14.8% (win-ratio 70% n=33)
• If EPS growth is positive YoY, median gain is 15.5% (win-ratio is 78%)
• Hardly a sizable bifurcation

As the scatter below highlights, we can see the sizable influence of the VIX. Even in all years, the VIX is a key factor:

• in our view, if inflation falls sharply
• and wage growth slows
• Fed doesn’t have to cut, but this is a dovish development
• we see VIX falling to sub-20
• hence, >20% upside for stocks

And as shown below, EPS growth has a somewhat important correlation, but hardly as strong as VIX changes.

• the difference in median gain is a mere 70bp (positive vs negative) post-negative year
• the importance of EPS growth is stronger in other years

STRATEGY: Financial conditions should ease in 2023, driving higher equity prices. Technology, Discretionary and Industrials levered to easing FCI

The “base” case for 2023 should be below. That stocks gained >1.4% in the first 5 trading days, and this portends strong gains for the full year:

• Post-neg year + up >1.4% on first 5 days
• Day 5 to first half median gain is 9.5%
• Full year median gain is 26%, implies >4,800 S&P 500
• 7 of 7 years saw gains.

Those 7 precedent years are shown below.

• the range of full year gains is +13% to +38%
• so, this is a VERY STRONG signal
• the two most recent are 2012 and 2019
• we think 2023 will track >20%

The path to higher equity prices is discussed above:

• core inflation falling faster than Fed and consensus expects
• wage inflation is already approaching 3.5% target of Fed (aggregate payrolls)
• Fed could “dovishly” leg down its inflation view
• allowing financial conditions to ease
• bond market has already seen this and is well below Fed on terminal rate

BASE CASE: The “maths” for what to expect in 2023, post a “negative return” year (2022)

Question: how common is a “flat” year? Our team calculated the data and it is shown below:

• since 1950, there are 19 instances of a negative S&P 500 return year. In the following year,
• stocks are “flat” (+/- 5%) only 11% of the time (n=2)
• stocks are up >20% 53% of the time (n=10)
• yup, stocks are 5X more likely to rise 20% than be flat
• and more than half of the instances are >20% gains

So, does a “flat year” still make sense?

As shown below, these probabilities are far higher compared to typical years:

• since 1950, based upon all 73 years
• stocks are “flat” 16% of the time vs 11% post-negative years — BIG DIFFERENCE
• stocks are up >20% 27% of the time vs 53% post-negative years — BIG DIFFERENCE
• see the point? The odds of a >20% gain are double because of the decline in 2022

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