The microstructure of a U.S. Treasury ECN: The BrokerTec platform

Michael J. Fleming, Bruce Mizrach, Giang Nguyen

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

We assess the microstructure of the U.S. Treasury securities market following its migration to electronic trading. We model price discovery using a vector autoregression model of price and order flow. We show that both trades and limit orders affect price dynamics, suggesting that traders also choose limit orders to exploit their information. Moreover, while limit orders have a smaller price impact, their greater variation contributes more to the variance of price updates. Lastly, we find an increased price impact of trades and especially limit orders following announcements, suggesting that the private information derived from public information is disproportionally exploited through limit orders.

Original languageEnglish (US)
Pages (from-to)2-22
Number of pages21
JournalJournal of Financial Markets
Volume40
DOIs
StatePublished - Sep 2018

Fingerprint

Microstructure
Limit orders
Price impact
Traders
Public information
Private information
Price discovery
Order flow
Electronic trading
Price dynamics
Securities market
Announcement
Treasury securities
Vector autoregression model

All Science Journal Classification (ASJC) codes

  • Finance
  • Economics and Econometrics

Cite this

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The microstructure of a U.S. Treasury ECN : The BrokerTec platform. / Fleming, Michael J.; Mizrach, Bruce; Nguyen, Giang.

In: Journal of Financial Markets, Vol. 40, 09.2018, p. 2-22.

Research output: Contribution to journalArticle

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