We use the k-nearest neighbors (i.e., k-NN) algorithm to forecast a firm’s annual earnings by matching its recent trend in annual earnings to historical earnings sequences of “neighbor” firms. Our forecasts are more accurate than forecasts obtained from the random walk, the regression...