Inferring Trade Direction from Intraday Data

Inferring Trade Direction from Intraday Data

  • CHARLES M. C. LEE
  • MARK J. READY

Article first published online: 30th April 2012 DOI: 10.1111/j.1540-6261.1991.tb02683.x

Abstract


This paper evaluates alternative methods for classifying individual trades as market buy or market sell orders using intraday trade and quote data. We document two potential problems with quote‐based methods of trade classification: quotes may be recorded ahead of trades that triggered them, and trades inside the spread are not readily classifiable. These problems are analyzed in the context of the interaction between exchange floor agents. We then propose and test relatively simple procedures for improving trade classifications.

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