It’s January and the beginning, once again, of a busy period for financial market participants as earnings season anticipation begins.
Earnings surprises and consensus revisions are well-known drivers of stock price movements and StarMine has a proven ability to predict these surprises and revisions, via SmartEstimate®.
This model is more accurate than the consensus, as it puts more weight on recent forecasts from top-rated analysts.
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Every quarter, the Thomson Reuters StarMine team reveals 10 companies with a high probability of reporting quarterly earnings surprises in the direction that is called: five likely to beat the analysts’ consensus estimate and five likely to fall short.
When SmartEstimates® diverge significantly from Consensus, you can anticipate the occurrence of earnings surprises with an accuracy rate of 70 percent.
Revenue SmartEstimates® are even more predictive of surprises, with a historical accuracy rate of 78 percent
Let’s take a look at the analysis.
Companies picked for earning hits
The StarMine team selected five North American companies, using Thomson Reuters’ Eikon Screener, that are expected to beat 2017 Q4 earnings estimates, based on SmartEstimate® and Predicted Surprise data.
The North American selections for 2017 Q3 were 100 percent accurate. Historically (since 2011 Q4), the picks have demonstrated an accuracy rate of about 80.8 percent giving investors an edge ahead of earnings announcements.
The North American picks for positive Predicted Surprises in 2017 Q4 are:
Companies picked for earnings misses
The StarMine team also selected five North American companies that are expected to miss 2017 Q4 earnings estimates.
The North American selections for 2017 Q3 misses were 41.2 percentage points above the S&P 500’s 17 Q3 earnings miss rate.
Historically (since 2011 Q4), the negative Predicted Surprise picks have demonstrated an accuracy rate of about 64.4 percent, giving investors an edge ahead of earnings announcements.
The North American picks for negative Predicted Surprises in 2017 Q4 are: