Abstract
We develop a model of the daily return-volume relationship which incorporates information and liquidity shocks. First, we distinguish between two trading strategies, information-based and liquidity-based trading and suggest that their respective impacts on returns and volume should be modeled differently. Second, we integrate the microstructure setting of Grossman-Miller (1988) with the information flow perspective of Tauchen-Pitts (1983) and derive a modified MDH model with two latent factors related to information and liquidity. Our model explains how the liquidity frictions can increase the daily traded volume, in the presence of liquidity arbitragers. Finally, we propose a stock-specific liquidity measure using daily return and volume observations of FTSE100 stocks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
