📈 69% of S&P 500 stocks beating the index - a historic record! Pick the best ones with AI.See top stocks

S&P 500 Earnings Analysis: Signs Of The Q4 ’18 Correction

Published 02/23/2019, 11:35 PM
Updated 07/09/2023, 06:31 AM
US500
-
KHC
-

What about the weekly S&P 500 earnings data would have given clues to anticipating the Q4 ’18 selloff?

I didn’t see this deterioration in the S&P 500 earnings estimate for 2019 coming nor did I think it would be as steep or severe as it has turned out to be.

Two strategists who did catch the deterioration early on were LizAnn Sanders of Schwab (Trinity controls all client assets with Schwab as third-party custodian) and Bob Doll of Nuveen.

Going back and looking at the data from late September ’18 forward, it was the “4-week change” in the 2019 S&P 500 estimate that started to deteriorate first:

EPS 2019 To 2020

Note in the above data set how in late September 2018 the “4-week change” row turned negative and then really started to deteriorate in late November ’18.

As a comparison (see spreadsheet data below), note the “4-week change” in the S&P 500 2019 EPS estimate from 9/21/18 back through early May, late April 2018 (reading from left to right):

SP 500 2019 EPS Estimate

(All data sourced from I/B/E/S for Refinitiv)

The 4-week change was always positive for the bulk of 2018, until late September ’18.

——–

So that brings us today: what does the current S&P 500 earnings data tell us??

  • Fwd 4-qtr est: $168.27 vs last week’s $168.65
  • PE ratio: 16.6x
  • PEG ratio: 4.89x
  • S&P 500 earnings yield: +6.03% vs last week’s 6.08%
  • Year-over-year growth in fwd est: +3.4% vs last week’s +3.6%

(Source: I/B/E/S for Refinitiv as of 2/22/19)

Summary

Jeff Miller encouraged me to start this blog in 2012 since Jeff knew I wrote about S&P 500 earnings regularly. The problem, like any metric used for “predicting” the direction of the S&P 500 is that one has to ask if the metric is a leading indicator, coincident, or even a lagging indicator? The 13% Q4 ’18 correction in the S&P 500 and reviewing the data since tells me that the “4-week” change (in this case the 2019 EPS estimate) had some predictive ability at least to this last correction.

Although this blog has been around since 2012, S&P 500 earnings data has been tracked since 2000, and as has been discussed in this blog many times over the years. The “forward 4-quarter” estimate” for the S&P 500 didn’t actually peak until the week of July 23 – 25, in 2008, just 5 – 6 weeks prior to Lehman defaulting.

When the long-term chart of the S&P 500 is overlaid on an S&P 500 earnings chart (or vice versa) the two are usually highly correlated, particularly if you look at the 2001 – 2002 recession and then the 2008 recession. But the question remains is there a “leading indicator” type component to the earnings that would aid in “market-timing” and if so, would the same indicator get you back into the S&P 500 at near the bottom.

The S&P 500 fell 13% in Q4 ’18 and is already up 11% in calendar ’19 and more so if we look at the bottom from December 24th and December 26th, 2018, and yet the S&P 500 earnings data according to the first data set is just starting to get “less worse” from a rate of change perspective. (So far anyway, if readers want a classic example of why not to “market time” the 4th quarter correction was it, even though the S&P 500 really needs to take out the Sept ’18 highs near 2,940 to assuage all the anxiety over what lays ahead.)

But here is one aspect to tracking S&P 500 earnings I’ve found very helpful: analyzing the sector growth rates over time, noting in years like 2019 presently, when S&P 500 earnings growth has been revised lower from 10% as of Oct 1 ’18 to just 4% today, the Financial sector has show little deterioration in its “expected” earnings growth rate of 9% for 2019 which has been constant over the same period. (Maybe the Kraft Heinz (NASDAQ:KHC) news around Berkshire, the sector’s largest market cap weight, will change that growth rate the next few weeks.) Clients remain overweight in the Financial sector, and that weight might be lifted even further.

In order words, watching relative sector growth rates has been a good tell for me as a portfolio manager, and divergent anomalies are even better tells, like Financials currently are showing.

The whole point of today’s post was to take the time and analyze some of the data from the correction period in Q4 ’18, and then share the frustration with readers on picking out predictive tells. Will the “4-week rate of change” work for the next correction? Tough to say. You can bet I’ll continue to watch it now.

What about full-year 2019 S&P 500 earnings? Will the benchmark’s earnings growth be just 4 %? I actually think earnings growth should get stronger through 2019 as it did through 2016, but more on that tomorrow.

Latest comments

Loading next article…
Risk Disclosure: Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Prices of cryptocurrencies are extremely volatile and may be affected by external factors such as financial, regulatory or political events. Trading on margin increases the financial risks.
Before deciding to trade in financial instrument or cryptocurrencies you should be fully informed of the risks and costs associated with trading the financial markets, carefully consider your investment objectives, level of experience, and risk appetite, and seek professional advice where needed.
Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. The data and prices on the website are not necessarily provided by any market or exchange, but may be provided by market makers, and so prices may not be accurate and may differ from the actual price at any given market, meaning prices are indicative and not appropriate for trading purposes. Fusion Media and any provider of the data contained in this website will not accept liability for any loss or damage as a result of your trading, or your reliance on the information contained within this website.
It is prohibited to use, store, reproduce, display, modify, transmit or distribute the data contained in this website without the explicit prior written permission of Fusion Media and/or the data provider. All intellectual property rights are reserved by the providers and/or the exchange providing the data contained in this website.
Fusion Media may be compensated by the advertisers that appear on the website, based on your interaction with the advertisements or advertisers.
© 2007-2024 - Fusion Media Limited. All Rights Reserved.