We study how institutional investor attention to a firm affects the timeliness of analysts' forecasts for that firm. We measure abnormal institutional attention (AIA) using Bloomberg news search activity for the firm on earnings announcement days. We find that analysts issue more timely...

Using machine learning-based algorithms, we measure key impressions about sell-side analysts using their LinkedIn profile photos. We find that analysts’ trustworthiness (TRUST) and dominance (DOM) are positively associated with forecast accuracy, especially after recent in-person meetings...