We study how foreign investors’ access to corporate information varies with pairwise geopolitical tensions between the investor's and investee's countries. Using a sample of 1,760 country‐pairs, we find that geopolitical tensions between a conference call host firm's country and a foreign country relate negatively with investor participation from that foreign country as well as the quality and tone of management responses in the call, suggesting reduced foreign investor information access with rising tensions. A single‐country analysis of Chinese AB‐share firms produces similar inferences. With higher China–foreign tensions, foreign attendance at private meetings with management declines, and English translations of local language disclosures become less frequent and shorter in length. Curtailment in English translations is more pronounced when local language disclosures contain politically sensitive words, suggesting lower information supply by firm choice. Reduced disclosures from geopolitical tensions are impounded in foreign investors’ asset pricing decisions, resulting in steeper foreign‐share price discounts.

This study examines whether information revealed by firms’ earnings announcements (EAs) forecasts short-run market-wide volatility in equity index prices. Using an exponential generalized autoregressive conditional heteroskedasticity model that includes controls for the information in an array of macroeconomic announcements, we find that EA information aggregated across firms forecasts market volatility at daily and weekly intervals. EA information’s forecasting power is greatest when more firms announce earnings on a given day, when EAs convey negative news, and for EA information about core earnings. Out-of-sample tests confirm that forecasts incorporating EA information better predict short-run market volatility than forecasts omitting EA information. We conclude that firm-level EAs are a significant source of systematic, market-wide information relevant for predicting near-term market volatility. Data Availability: All data are publicly available from sources cited in the text.