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 …

Germany. We initially employ a purely statistical approach to predicting prevalence of COVID19 if RSC were upheld after April …, these activities can most easily be identified if federal states of Germany adopted exit strategies that differ across …

We measure the economic risk of epidemics at a geo-spatially detailed resolution. In addition to data about the …'s resilience (its ability of the recover rapidly from the shock). We find that the economic risk of epidemics is particularly high …-hoc (equal) weighting algorithm for the four components of the index, with one based on an estimation algorithm using Disability …

as predictors. Third, we pool the forecasts in clusters to hedge against model risk and to evaluate the usefulness of …, and reducing tail risk. Using the same approach for return forecasts, however, does not lead to a consistent …