Price discovery in the U.S. Treasury market: Automation vs. intermediation

Kasing Man, Junbo Wang, Chunchi Wu

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

14 Citations (Scopus)

Abstract

This paper examines the contribution to price discovery by electronic and voice-based trading systems in the U.S. Treasury market. Evidence shows that the electronic trading system has more price discovery and that trading automation increases the speed of incorporating information into prices. However, human trading generates significant price discovery, though its volume is low. The relative contribution of a trading system to price discovery depends on liquidity, volatility, volume, trade size, and order imbalance. The voice-based trading system contributes more to price discovery when trade size is large and liquidity is low. These findings provide important implications for the design of electronic markets for securities with different characteristics and trading environments. © 2013 INFORMS.
Original languageEnglish
Pages (from-to)695-714
JournalManagement Science
Volume59
Issue number3
DOIs
Publication statusPublished - Mar 2013

Research Keywords

  • Electronic trading
  • Error correction
  • Information share
  • Liquidity
  • Price discovery

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