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Information-based trading, price impact of trades, and trade autocorrelation

  • University of Louisiana at Monroe
  • University of Memphis

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

In this study we show that both the price impact of trades and serial correlation in trade direction are positively and significantly related to the probability of information-based trading (PIN). The positive relation remains significant even after controlling for the effects of stock attributes. Higher trading activity (i.e., shorter intervals between trades) induces both larger price impact and stronger positive serial correlation in trade direction. The effect of time interval between trades on quote revision is stronger for stocks with higher PIN values. These results provide direct empirical support for the information models of trade and quote revision.

Original languageEnglish
Pages (from-to)1645-1669
Number of pages25
JournalJournal of Banking and Finance
Volume29
Issue number7
DOIs
StatePublished - Jul 2005

Keywords

  • Asymmetric information
  • Price impact
  • Quote revisions
  • Trade autocorrelation

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