Financial analysts’ earnings forecasts are a key determinant of stock prices and understanding how these forecasts evolve over time is important. This paper studies the asymmetric behavior of negative and positive values of analysts’ earnings revisions and links it to the conservatism principle of accounting. Using a new three-state mixture of log-normals model that accounts for dierences in the magnitude and persistence of positive, negative and zero revisions, we find evidence that revisions to analysts’ earnings expectations which under conventional assumptions should follow a martingale dierence process can be predicted using publicly available information such as lagged interest rates and past revisions. We also find that our forecasts of revisions to analysts’ earnings estimate help predict the actual earnings figure beyond the information contained in analysts’ earnings expectations.