 Measuring the Liquidity Part of VolumeSerge Darolles, Gaelle Le Fol and Gulten Mero Post-Print from HAL Abstract: Based on the concept that the presence of liquidity frictions can increase the daily traded volume, we develop an extended version of the mixture of distribution hypothesis model (MDH) along the lines of Tauchen and Pitts (1983) to measure the liquidity portion of volume. Our approach relies on a structural definition of liquidity frictions arising from the theoretical framework of Grossman and Miller (1988), which explains how liquidity shocks affect the way in which information is incorporated into daily trading characteristics. In addition, we propose an econometric setup exploiting the volatility–volume relationship to filter the liquidity portion of volume and infer the presence of liquidity frictions using daily data. Finally, based on FTSE 100 stocks, we show that the extended MDH model proposed here outperforms that of Andersen (1996) and that the liquidity frictions are priced in the cross-section of stock returns. Keywords: Volatility-volume relationship; Mixture of distribution hypothesis; Information-based trading; Liquidity shocks; GMM tests; Liquidity arbitrage (search for similar items in EconPapers) Published in Journal of Banking and Finance, 2015, 50, ⟨10.1016/j.jbankfin.2014.09.007⟩ There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01632766 DOI: 10.1016/j.jbankfin.2014.09.007 Access Statistics for this paper More papers in Post-Print from HAL |
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