We examine intra-day market reactions to news in stock-specific sentiment disclosures. Using pre-processed data from an automated news analytics tool based on linguistic pattern recognition we extract information on the relevance as well as the direction of company-specific news....

High frequency trading (HFT) depends on sophisticated algorithms to closely monitor price changes across securities. Theory predicts this technological advantage should translate into market-wide liquidity co-variation, by transmitting information-based liquidity shocks. Using a dataset of...

This study links the role of momentum and illiquidity (as proxied by Amihud's Illiq) in the cross section of stock returns in India for the period 2000-2012. Illiquidity premium is more pronounced among winners. Illiquid winners outperform liquid winners by an average 2.7% per month. We report...