This paper shows that firms talking less about the future in their annual reports generate positive abnormal returns of about 5% annually. I measure how much companies talk about the future in their annual 10-K reports by the frequency of the verbs will, shall, and going to. The evidence favors a risk-based interpretation: firms that use less future tense in their report offer higher returns since they are riskier. These results are consistent with finance theories stating that investors need to be rewarded for holding stocks of firms that put less information about the future in the marketplace.

For a comprehensive set of 21 equity premium predictors we find extreme variation in out-of-sample predictability results depending on the choice of the sample split date. To resolve this issue we propose reporting in graphical form the out-of-sample predictability criteria for every possible sample split, and two out-of-sample tests that are invariant to the sample split choice. We provide Monte Carlo evidence that our bootstrap-based inference is valid. The in-sample, and the sample split invariant out-of-sample mean and maximum tests that we propose, are in broad agreement. Finally we demonstrate how one can construct sample split invariant out-of-sample predictability tests that simultaneously control for data mining across many variables.