High frequency market microstructure noise estimates and liquidity measures

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Abstract

Using recent advances in the econometrics literature, we disentangle from high frequency observations on the transaction prices of a large sample of NYSE stocks a fundamental component and a microstructure noise component. We then relate these statistical measurements of market microstructure noise to observable characteristics of the underlying stocks and, in particular, to different financial measures of their liquidity. We find that more liquid stocks based on financial characteristics have lower noise and noise-to-signal ratio measured from their high frequency returns. We then examine whether there exists a common, market-wide, factor in high frequency stock-level measurements of noise, and whether that factor is priced in asset returns.

Original languageEnglish (US)
Pages (from-to)422-457
Number of pages36
JournalAnnals of Applied Statistics
Volume3
Issue number1
DOIs
StatePublished - Mar 2009

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • Statistics, Probability and Uncertainty

Keywords

  • High frequency data
  • Liquidity
  • Market microstructure noise
  • Robust volatility estimation
  • Stock returns

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