Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases
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https://www.nber.org/papers/w27843
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We introduce a real-time measure of conditional biases in firms' earnings forecasts. The measure is defined as the difference between analysts' expectations and a statistically optimal unbiased machine-learning benchmark. Analysts' conditional expectations are, on average, biased upwards, and the
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美国国家经济研究局创建时间：
2020-09-01
