We study market liquidity via daily close relative spreads and daily traded volumes in a sample of 426 S&P500 constituents recorded over the years 2004-2006, a period of “normal” liquidity conditions. We use recent results on the Generalized Dynamic Factor Model (GDFM) with block structure to provide a sound definition of unobservable market liquidity and to assess the complementarity of those two liquidity measures. The advantage of defining market liquidity as dynamic factors is that, contrary to other definitions that can be found in the literature, it tackles time dependence and commonness at the same time, without making any restrictive assumptions on the underlying data generating process. Both relative spread and volume in the dataset under study appear to be driven by the same one-dimensional common shocks, which therefore naturally qualify as the unobservable market liquidity shocks.
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Paper provided by Université Libre de Bruxelles, Ecares in its series ECARES Working Papers with number
2009_004.
Find related papers by JEL classification: C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
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Björn Hagströmer & Richard G. Anderson & Jane M. Binner & Birger Nilsson, 2009.
"Dynamics in systematic liquidity,"
Working Papers
2009-025, Federal Reserve Bank of St. Louis.
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Other versions:
Hagströmer, Björn & Anderson, Richard G. & Binner, Jane & Nilsson, Birger, 2009.
"Dynamics in Systematic Liquidity,"
Working Papers
2009:7, Lund University, Department of Economics.
[Downloadable!]