Some preliminary thoughts on Q3 earnings season

Preface: Explaining our market timing models

We maintain several market timing models, each with differing time horizons. The “Ultimate Market Timing Model” is a long-term market timing model based on the research outlined in our post, Building the ultimate market timing model. This model tends to generate only a handful of signals each decade.

 

The Trend Asset Allocation Model is an asset allocation model that applies trend-following principles based on the inputs of global stock and commodity prices. This model has a shorter time horizon and tends to turn over about 4-6 times a year. The performance and full details of a model portfolio based on the out-of-sample signals of the Trend Model can be found here.

 

 

My inner trader uses a trading model, which is a blend of price momentum (is the Trend Model becoming more bullish, or bearish?) and overbought/oversold extremes (don’t buy if the trend is overbought, and vice versa). Subscribers receive real-time alerts of model changes, and a hypothetical trading record of the email alerts is updated weekly here. The hypothetical trading record of the trading model of the real-time alerts that began in March 2016 is shown below.

 

 

The latest signals of each model are as follows:
  • Ultimate market timing model: Buy equities (Last changed from “sell” on 28-Jul-2023)
  • Trend Model signal: Bullish (Last changed from “neutral” on 11-Oct-2024)
  • Trading model: Bullish (Last changed from “neutral” on 15-Oct-2024)

Update schedule: I generally update model readings on my site on weekends. I am also on X/Twitter at @humblestudent. Subscribers receive real-time alerts of trading model changes, and a hypothetical trading record of those email alerts is shown here.
 

Subscribers can access the latest signal in real time here.

 

 

Diversity wins

As the S&P 500 continues to grind upwards, it’s been led by a trio of sectors, financials, industrials and technology, which has becoming an emerging leader. I interpret this as a constructive sign, as the diversity of both value and growth stocks indicate the bull move.
 

 

 

Strong bullish leadership

Financial stocks led the way with the onset of earnings season after the major banks reported their results. While the pop in share prices was encouraging, relative strength is evident in regional banks and overseas in Europe, which is the confirmation of a broadly based move.
 

 

The industrial sector began to exhibit positive relative strength in July. The combination of financial and industrial relative strength is a signal of a cyclical revival.
 

 

A study by SentimenTrader found simultaneous strength in financial and industrial stocks tends to be intermediate-term bullish.
 

 

By contrast, the technology sector appears to be just starting a recovery, as evidenced by better relative strength and improving relative breadth (bottom two panels).
 

 

I interpret the profit warning by ASML and the earnings beat by Taiwan Semiconductor (TSMC) as bullish signs for the important semiconductor group and sets a positive backdrop for the NVIDIA, which is expected to report earnings on November 20, and other AI-related plays.

 

ASML’s CEO stated on the earnings call, “While there continue to be strong developments and upside potential in AI, other market segments are taking longer to recover. It now appears the recovery is more gradual than previously expected.” Translation: the company is experiencing slower-than-expected growth in non-leading-edge machinery, but the leading-edge AI is strong. TSMC’s CEO confirmed the overall strength in AI on his earnings call, “We continue to observe extremely robust AI-related demand from our customers [read: NVIDIA] throughout H1 2024, leading to increasing overall capacity utilization rate for our leading-edge three-nanometer and five-nanometer process technologies.”

 

From a technical perspective, the Semiconductor Index fell to successfully test a rising trend line and its uptrend continues. Relative performance is holding up above a key relative support zone — all constructive signs for the group and the technology sector in general.

 

 

In the meantime, the relative performance of defensive sectors are all flat to down, which is an indication that the bulls are in control of the tape.

 

 

 

Strong momentum

The S&P 500 has been up for six straight weeks, which is an impressive display of price momentum. Nautilus Research pointed out another exhibition of momentum. The Dow is up 50% from its bear market low. If history is any guide, the next month should see strong returns, followed by a pullback in the following month.

 

 

Not only is price momentum evident at the index level, the momentum factor, which measures whether high relative strength stocks continue to rise, has been strong. The accompanying chart shows the relative performance of different price momentum ETFs, which have all been rising since early September.

 

 

 

Key risks

Even though the path of resistance looks like it’s up, equity bulls shouldn’t sound the all-clear just yet. They face a number of key risks.

 

Forward 12-month EPS estimates revisions have been flat while the S&P 500 forward P/E is elevated, which is a concern as we are still early in Q3 earnings season. While the percentage of companies beating EPS estimates was above their five-year average, the sales beat rate was subpar.

 

 

The Fed may be considering a pause in its rate cut cycle at its November meeting. As both CPI and PPI have been reported for September, estimates of PCE, the Fed’s preferred inflation metric, should be relatively accurate. The Cleveland Fed’s core PCE nowcast rose to 0.26%, which is an unwelcome sign of inflationary regression and a possible reason for the Fed to pause in November.
 

 

As a consequence, inflationary expectations, as measured by the 5-year breakeven rate, rose from a bottom in early September to an elevated, but not overly alarming rate.
 

 

As well, Treasury yields have risen since the Fed announced its half-point rate cute, which is bound to pressure equity valuations.
 

 

In conclusion, the tactical bullish set-up that I outlined last week triggered a buy signal. Diverse leadership by financial, industrial and technology stocks points to further gains in stock prices. Investors should be aware of the key risk of earnings disappointment during Q3 earnings season, and signs of resurgent inflation may lead the Fed to put its November rate cut on hold.

 

My inner trader is maintaining his long position in the S&P 500. The usual disclaimers apply to my trading positions.
I would like to add a note about the disclosure of my trading account after discussions with some readers. I disclose the direction of my trading exposure to indicate any potential conflicts. I use leveraged ETFs because the account is a tax-deferred account that does not allow margin trading and my degree of exposure is a relatively small percentage of the account. It emphatically does not represent an endorsement that you should follow my use of these products to trade their own account. Leverage ETFs have a known decay problem that don’t make the suitable for anything other than short-term trading. You have to determine and be responsible for your own risk tolerance and pain thresholds. Your own mileage will and should vary.

 

 

Disclosure: Long SPXL

 

An ominous sign for stock returns?

Goldman Sachs recently reported that the allocation to equities as a percentage of household assets had risen to levels last seen at the height of the NASDAQ Bubble. Is this an ominous sign of a crowded trade? Are investors in a crowded long that stocks are about to enter a painful 2000–2002-style bear market?
 

 

 

A less alarming view

The Goldman study, which is based on Federal Reserve data, calculates equity exposure as a percentage of household assets. But the demographics of the household change over time and investors go through a savings and investing cycle as they age.
 

In 2011, a team of academics led by John Geanakoplos wrote a paper entitled Demography and the Long-Run Predictability of the Stock Market. Geanakoplos et al related demography to long-term stock returns. They found that P/E ratios were correlated to the ratio of middle-aged people to young adults, otherwise known as the MY ratio. When MY rises, the market P/E will tend to rise and when it falls, P/Es tend to fall.
 

In 2012, a San Francisco Fed study, Boomer Retirement: Headwinds for U.S. Equity Markets?, used a slightly different methodology than the paper by Geanakoplos et al, and they postulated a market bottom in 2021.
 

 

A San Francisco Fed follow-up study in 2018 found that the forecast P/E ratios had deviated from the population ratio and attributed the deviation to the pronounced effect of Baby Boomers’ retirement.
 

 

The Gen X demographic, which is the age cohort behind the Baby Boomers who are just entering retirement, is now in their prime earnings and savings years. The stock market boom may be attributable to fund flows from Gen Xers.
 

 

Investors can see a demographic-adjusted view of portfolio allocation by the AAII Asset Allocation Survey. Unlike the weekly survey, which asks AAII members how they feel about the stock market, the AAII monthly survey asks members how they are invested. That is to say, what they are doing with their money instead of how they feel.

 

The AAII Asset Allocation Survey shows that equity allocations (black line) is indeed elevated relative to its own history, but levels are nowhere near the NASDAQ Bubble years. Similar elevated readings have seen the S&P 500 either stage minor pullbacks or consolidate sideways. In all cases, excessive equity allocation is not an actionable intermediate-term sell signal.

 

 

 

Valuation challenges

Even then, U.S. equities face valuation challenges. John Authers at Bloomberg observed that, for the first time in 22 years, bonds are yielding more than stocks, though that’s also not an actionable investing signal. Nevertheless, it is a warning that the equity risk premium is becoming overly compressed.
 

 

 

A productivity debate

Even then, these valuation warnings are not an automatic sell signal. Much depends on the growth rate of earnings and, more importantly, the future trajectory of productivity gains from adoption of artificial intelligence.
 

 

AI boosters, like NVIDIA CEO Jensen Huang, have characterized AI as the start of another industrial revolution. On the other hand, labour economist and newly minted Nobel laureate Daron Acemoglu argued in a paper that productivity gains from AI will be limited to “no more than 0.66% increase in total factor productivity over 10 years” and predicts gains of “less than 0.53%”. In a NY Times interview, Acemoglu explained that AI “can automate only about 5 percent of an office worker’s tasks” by automating routine work and “free workers to tackle more brainy challenges like developing a business strategy for a new product launch”.

 

Aswath Damodarn, finance professor at NYU Stern School of Business who is considered the dean of company valuation, wrote about the challenges of AI in a Financial Times article when a friend put all of Damodarn’s work through an AI LLM to absorb everything Damodarn knew about company valuation. He concluded that, in today’s environment of AI adoption, analysts have to be better and more creative at what they do. AI has to be faster and perform better than humans at financial modeling using historical data, but will have difficulty with “valuation built around a business story, enriched with soft data”. Learn to avoid the “Google curse” or looking up answers instead of “reasoning answers on our own”. It’s no surprise that companies are seeking employees with soft skills instead of just hard modeling skills.

 

In conclusion, U.S. household equity allocations are becoming extended relative to their own history, which warns of a challenging long-term return outlook. Demographically adjusted allocations are less extended and similar episodes have resolved in either minor pullbacks or sideways consolidations. Equity valuations are stretched compared to bonds and the long-term outlook will depend on the future advances in productivity.

 

While excessive equity allocation could be a warning if a subdued long-term equity return outlook, perhaps the best short-term contrarian indicator of U.S. returns is this cover from the Economist.

 

 

A buy signal. but with a *

Mid-week market update: Further to my last post (see A buy signal setup), the 14-day RSI of the S&P 500 Intermediate Term Breadth Momentum Oscillator (ITBM) flashed a buy signal when it recycled from oversold to neutral. By the book, this is a legitimate buy signal.

 

 

Under the current circumstances, I have some doubts and I am putting a * next to the buy signal. Here’s why.

 

 

Earnings disappointment risk

I had highlighted the risk of earnings disappointment during Q3 reporting season, as forward 12-month EPS estimate revisions are falling, indicating negative fundamental momentum. Bloomberg reported that Citigroup’s earnings revisions index was highly negative in September.

 

 

 

A silver lining

Here is the silver lining in the dark cloud. John Butters at FactSet observed that the sector exhibiting the best earnings guidance is technology, which is surprising as the stocks in the sector had been struggling recently.

 

 

In fact, technology earnings guidance hasn’t been this positive since late 2020 and early 2021.

 

 

An analysis of the technical conditions of the sector reveals slow improvement in relative breadth (bottom two panels).

 

 

The relative performance of the NASDAQ 100 may be turning up after its normalized relative performance (black line) touched an oversold level. The 10 week MA of % bullish on P&F has also rebounded, indicating strength.