We develop and empirically test a model of information acquisition in capital markets. In the model, investors are uncertain about the returns to acquiring private information before they acquire it. This results in a novel reason for why past price movements impact future capital market outcomes: investors use public information, including past prices, as a screen to estimate the returns to acquiring private information and efficiently allocate their limited information-processing capacity across firms. The model predicts that larger unexplained price movements lead to more private information acquisition, higher future price volatility, and higher future trading volume. Using fine-grained data measuring information acquisition on Edgar and Bloomberg, we provide empirical evidence in support of the model’s predictions.
