Expectations Matter: When (not) to Use Machine Learning Earnings Forecasts

Replication package for the paper titled "Expectations Matter: When (not) to Use Machine Learning Earnings Forecasts"

Mendeley Data00

DEMAND FORECASTING USING MACHINE LEARNING

This study examines the importance and approaches of demand forecasting in the context of digitalization of business processes. This paper examines the differences between traditional statistical meth

Zenodo2026-03-26 更新40

Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases

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 machin

NBER2020-09-01 更新60