The Microstructure of a U.S. Treasury ECN: The Brokertec Platform
AbstractThis paper assesses the microstructure of the U.S. Treasury securities market using tick data from the BrokerTec electronic trading platform. We examine trading activity, bid-ask spreads, and depth for the on-the-run 2-, 3-, 5-, 10- and 30-year securities and find that liquidity is markedly greater than that reported by earlier studies using data from GovPX. We analyze the price impact of trades and find that the effects are overstated if order book changes are ignored, and that order book changes affect prices by themselves. We also explore a novel feature of this platform – the ability to enter "iceberg" orders – and find that such orders are more common when price volatility is higher, as predicted by theory.
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Bibliographic InfoPaper provided by Rutgers University, Department of Economics in its series Departmental Working Papers with number 200803.
Length: 20 pages
Date of creation: 09 Apr 2008
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microstructure; Treasury market; bid-ask spread; price impact; hidden orders;
Other versions of this item:
- Michael J. Fleming & Bruce Mizrach, 2009. "The microstructure of a U.S. Treasury ECN: the BrokerTec platform," Staff Reports 381, Federal Reserve Bank of New York.
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- D4 - Microeconomics - - Market Structure and Pricing
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
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- Nikolaus Hautsch & Ruihong Huang, 2012.
"On the Dark Side of the Market: Identifying and Analyzing Hidden Order Placements,"
SFB 649 Discussion Papers
SFB649DP2012-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Hautsch, Nikolaus & Huang, Ruihong, 2012. "On the dark side of the market: Identifying and analyzing hidden order placements," CFS Working Paper Series 2012/04, Center for Financial Studies (CFS).
- Frey, Stefan & Sandås, Patrik, 2009. "The impact of iceberg orders in limit order books," CFR Working Papers 09-06, University of Cologne, Centre for Financial Research (CFR).
- Coluzzi, Chiara & Ginebri, Sergio, 2008. "Order Dynamics in the Italian Treasury Security Wholesale Secondary Market," Economics & Statistics Discussion Papers esdp08050, University of Molise, Dept. EGSeI.
- Robert Engle & Michael Fleming & Eric Ghysels & Giang Nguyen, 2012. "Liquidity, volatility, and flights to safety in the U.S. treasury market: evidence from a new class of dynamic order book models," Staff Reports 590, Federal Reserve Bank of New York.
- Moinas, Sophie, 2010.
"Hidden Limit Orders and Liquidity in Order Driven Markets,"
IDEI Working Papers
600, Institut d'Économie Industrielle (IDEI), Toulouse.
- Moinas, Sophie, 2010. "Hidden Limit Orders and Liquidity in Order Driven Markets," TSE Working Papers 10-147, Toulouse School of Economics (TSE).
- Hajime Tomura, 2012. "On the Existence and Fragility of Repo Markets," Working Papers 12-17, Bank of Canada.
- Bruce Mizrach & Christopher J. Neely, 2007. "The microstructure of the U.S. treasury market," Working Papers 2007-052, Federal Reserve Bank of St. Louis.
- Chaboud, Alain P. & Chiquoine, Benjamin & Hjalmarsson, Erik & Loretan, Mico, 2010.
"Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets,"
Journal of Empirical Finance, Elsevier,
Elsevier, vol. 17(2), pages 212-240, March.
- Alain Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2008. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," BIS Working Papers 249, Bank for International Settlements.
- Alain Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2007. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.) 905, Board of Governors of the Federal Reserve System (U.S.).
- Jens H.E. Christensen & James M. Gillan, 2011. "A model-independent maximum range for the liquidity correction of TIPS yields," Working Paper Series 2011-16, Federal Reserve Bank of San Francisco.
- Dunne, Peter & Hau, Harald & Moore, Michael, 2008. "A Tale of Two Platforms: Dealer Intermediation in the European Sovereign Bond Market," CEPR Discussion Papers 6969, C.E.P.R. Discussion Papers.
- William C. Dudley & Jennifer Roush & Michelle Steinberg Ezer, 2009. "The case for TIPS: an examination of the costs and benefits," Economic Policy Review, Federal Reserve Bank of New York, Federal Reserve Bank of New York, issue Jul, pages 1-17.
- Coluzzi, Chiara & Ginebri, Sergio & Turco, Manuel, 2008. "Measuring and Analyzing the Liquidity of the Italian Treasury Security Wholesale Secondary Market," Economics & Statistics Discussion Papers esdp08044, University of Molise, Dept. EGSeI.
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