Back to top

Image: Bigstock

How to Find Strong Oils and Energy Stocks Slated for Positive Earnings Surprises

Read MoreHide Full Article

Two factors often determine stock prices in the long run: earnings and interest rates. Investors can't control the latter, but they can focus on a company's earnings results every quarter.

The earnings figure itself is key, of course, but a beat or miss on the bottom line can sometimes be just as, if not more, important. Therefore, investors should consider paying close attention to these earnings surprises, as a big beat can help a stock climb and vice versa.

Now that we know how important earnings and earnings surprises are, it's time to show investors how to take advantage of these events to boost their returns by utilizing the Zacks Earnings ESP filter.

The Zacks Earnings ESP, Explained

The Zacks Expected Surprise Prediction, or ESP, works by locking in on the most up-to-date analyst earnings revisions because they can be more accurate than estimates from weeks or even months before the actual release date. The thinking is pretty straightforward: analysts who provide earnings estimates closer to the report are likely to have more information.

The core of the ESP model is comparing the Most Accurate Estimate to the Zacks Consensus Estimate, where the resulting percentage difference between the two equals the Expected Surprise Prediction. The Zacks Rank is also factored into the ESP metric to better help find companies that appear poised to top their next bottom-line consensus estimate, which will hopefully help lift the stock price.

In fact, when we combined a Zacks Rank #3 (Hold) or better and a positive Earnings ESP, stocks produced a positive surprise 70% of the time. Perhaps most importantly, using these parameters has helped produce 28.3% annual returns on average, according to our 10 year backtest.

Stocks with a ranking of #3 (Hold), or 60% of all stocks covered by the Zacks Rank, are expected to perform in-line with the broader market. Stocks with rankings of #2 (Buy) and #1 (Strong Buy), or the top 15% and top 5% of stocks, respectively, should outperform the market; Strong Buy stocks should outperform more than any other rank.

Should You Consider ConocoPhillips?

Now that we understand what the ESP is and how beneficial it can be, let's dive into a stock that currently fits the bill. ConocoPhillips (COP - Free Report) earns a #3 (Hold) right now and its Most Accurate Estimate sits at $3.29 a share, just 30 days from its upcoming earnings release on February 2, 2023.

ConocoPhillips' Earnings ESP sits at +1.74%, which, as explained above, is calculated by taking the percentage difference between the $3.29 Most Accurate Estimate and the Zacks Consensus Estimate of $3.23. COP is also part of a large group of stocks that boast a positive ESP. Make sure to utilize our Earnings ESP Filter to uncover the best stocks to buy or sell before they've reported.

COP is part of a big group of Oils and Energy stocks that boast a positive ESP, and investors may want to take a look at Magellan Midstream Partners as well.

Magellan Midstream Partners, which is readying to report earnings on February 1, 2023, sits at a Zacks Rank #2 (Buy) right now. It's Most Accurate Estimate is currently $1.33 a share, and MMP is 29 days out from its next earnings report.

Magellan Midstream Partners' Earnings ESP figure currently stands at +2.15% after taking the percentage difference between its Most Accurate Estimate and its Zacks Consensus Estimate of $1.30.

Because both stocks hold a positive Earnings ESP, COP and MMP could potentially post earnings beats in their next reports.

Find Stocks to Buy or Sell Before They're Reported

Use the Zacks Earnings ESP Filter to turn up stocks with the highest probability of positively, or negatively, surprising to buy or sell before they're reported for profitable earnings season trading. Check it out here >>


See More Zacks Research for These Tickers


Normally $25 each - click below to receive one report FREE:


ConocoPhillips (COP) - free report >>

Published in