inherent noise of social media content. Addressing these limitations, this study explores crowd-based trading signals, explicit …, and Telegram. We apply an event study methodology to analyze over 28,000 trading signals extracted using natural language …-based signals significantly predict short-term cryptocurrency price movements, particularly for assets with lower market …

inflation threshold, signals clear and firms reverse to follow. Existing information-friction models restrict weights between …

signals in the labor market, using Greece as a case study and utilizing Eurostat time series data (2000-2023). Weak signals …

, and evaluation by admissions agents, who rely on noisy signals of skills. Building upon the theoretical framework of the … Roy model, our analysis examines how the presence of noise in signals of skills influences admission behaviour and the … optimally assign positive weight to skill signals that are uncorrelated and unproductive in the relevant sector-a phenomenon we …