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Earnings Roundup: Will COVID-19 Lead To Lower Earnings?

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Summary

  • S&P 500 year-over-year 20Q1 earnings growth estimates have fallen to 1.6% from 5.4% on January 31, 2020.
  • StarMine models from Refinitiv suggest that more downward revisions will follow.
  • Since January 31, 2020, the outlook for 20Q1 earnings has fallen 3.6%.

By David Aurelio

As COVID-19 spreads, should investors expect to see an impact to 20Q1 earnings expectations? S&P 500 year-over-year (Y/Y) 20Q1 earnings growth estimates have fallen to 1.6% from 5.4% on January 31, 2020, and StarMine models from Refinitiv suggest that more downward revisions will follow.

Exhibit 1: S&P 500 ppts Change in Y/Y Earnings from Start of Quarter to Start of Earnings Season

Source: I/B/E/S data from Refinitiv

In a typical quarter, pervasive optimism bias in sell-side estimates tends to be self-corrected as earnings season approaches as analysts make downward revisions to estimates. Over the two months between the start of the quarter to the start of earnings season, the expected Y/Y earnings growth rate sees an average decline of 3.6 percentage points (ppts) and a median decline of 2.3 ppts. To date, the S&P 500's Y/Y 20Q1 earnings growth rate has fallen 3.8 ppts to 1.6% since the start of the quarter, and the historical declines in Exhibit 1 suggest that it is reasonable to expect that further declines will follow, as it shows that analyst revisions to earnings can be drastic and happen within a tight window. However, it doesn't provide any information as to whether estimates have already come down enough to account for the impacts of COVID-19.

Exhibit 2: S&P 500 20Q1 Earnings Predicted Surprise by Industry Group

Source: I/B/E/S data from Refintiv

Since January 31, 2020, the outlook for 20Q1 earnings has fallen 3.6%. Should more downward revisions be expected or are the negative impacts already priced in? One way to look at this is by using SmartEstimates from Refinitiv. SmartEstimates place a higher weighting on top rated analysts and more recent estimates. A Predicted Surprise is created by comparing the SmartEstimate to the I/B/E/S from Refinitiv mean estimate. When the Predicted Surprise is significant, it accurately predicts the direction of

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