expectation dispersion and economic uncertainty for the stock-market reaction to indicator releases. We find that the strength of …. Uncertainty, in contrast, increases the response. We rationalize our findings in a model of imperfect information. In the model … content of indicators, while higher fundamental uncertainty makes this informational content more valuable …

We develop a novel firm-level measure of cybersecurity risk using textual analysis of cybersecurity-risk disclosures in … corporate filings. The measure successfully identifies firms extensively discussing cybersecurity risk in their 10-K, displays … intuitive relations with quantitative measures of cybersecurity risk disclosure language, exhibits a positive trend over time …

anomalies give rise to profit opportunities by applying a trading simulation approach. The results suggest the presence of the …

forecasts based on pooled and individual estimates and develop a novel forecast poolability test that can be used as a … stock returns, we show that no single forecasting approach dominates uniformly. However, forecast combination and shrinkage … methods provide better overall forecasting performance and offer more attractive risk profiles compared to individual, pooled …

has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the … the futures price by the estimated risk premium, a common problem is that there are as many measures of the market … expectation as there are estimates of the risk premium. We propose a general solution to this problem that allows us to select the …

considers the evidence on return predictability, risk aversion and market efficiency. The paper then focuses on the theoretical … inefficiencies (assuming that they exist) can be exploited for profit. …

Prediction markets - markets used to forecast future events - have been used to accurately forecast the outcome of …