Till date, empirical works on the utility of social media sentiments in predicting financial market outcomes have yielded mixed results. This paper contributes to this discourse by providing new insights into the limited salience of uncertainty sentiments on Twitter for a broad range of...

This paper is among the first to investigate high-frequency herding tendencies among exchange traded funds (ETF) traders within the commodities asset class. Operating on 64 popularly traded and liquid ETFs spread across five sub-sectors from 2009 to 2021, we apply four different...

In this study, we use high-frequency microstructure components to explore commodity ETF herding. We employ a new GARCH model incorporating cross-sectional and market volatility at 15-, 30-, 45-, and 60-minute intervals. We document that during market instability and the COVID-19 pandemic,...