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Stats › Opties, shorts en positionering › Analyst optimism

Analysts are optimistic at every horizon and a statistical model is unbiased at every horizon

HorizonAnalyst biastModel errorPrice scaled gap
One quarter0.0286.59-0.0000.012
Two quarters0.05310.31-0.0010.024
Three quarters0.07211.550.0020.031
Eén jaar0.1546.240.0270.057
Two years0.3848.33-0.0040.190

Analyst bias is the forecast minus realised earnings per share, 1986 to 2019, with autocorrelation corrected t statistics. The model column is the same quantity for a machine learning forecast built on the same information set. The price scaled gap is the difference between the two divided by price, and all five values are statistically different from zero.

Measured against realised earnings, analyst forecasts are too high at one quarter, two quarters, three quarters, one year and two years, with t statistics from 6.24 to 11.55. A machine learning benchmark on the same data has errors indistinguishable from zero.

0.028, t = 6.59Analyst bias, one quarter ahead
0.154, t = 6.24One year ahead
0.384, t = 8.33Two years ahead
indistinguishable from zeroMachine learning errors, all five horizons

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