Advanced Search

Papers Articles Authors Institutions Data (FRED®)

Abstract

The aim of this paper is to model the trading intensity of the US Treasury bond market which has a unique expandable limit order book which distinguishes its structure from other asset markets. An analysis of tick data from the eSpeed database suggests that the US bond market displays a greater degree of clustering in trade durations than is evident in other asset markets. Duration is affected by the presence of news particularly in the hour following the release of scheduled news to the markets. Finally, the length of time taken to complete a given transaction, or ‘workup’, has a measurable impact on the trade duration

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://eprints.utas.edu.au/10446/1/DP2010-02_Dungey_Henry_McKenzie_May2010.pdf
Download Restriction: no

Bibliographic Info

Paper provided by University of Tasmania, School of Economics and Finance in its series Working Papers with number 10446.

as HTML HTML with abstract plain text plain text with abstract BibTeX RIS (EndNote, RefMan, ProCite) ReDIF in new window

Length: 39 pages
Date of creation: 01 May 2010
Date of revision: 01 May 2010
Publication status: Published by the University of Tasmania. Discussion paper 2010-02
Handle: RePEc:tas:wpaper:10446

Contact details of provider:
Postal: Private Bag 85, Hobart, Tasmania 7001
Phone: +61 3 6226 7672
Fax: +61 3 6226 7587
Web page: http://www.utas.edu.au/economics-finance/
More information through EDIRC

Related research

Keywords: US Treasuries; trade duration; workups; news;

Find related papers by JEL classification:

• C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
• G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as HTML HTML with abstract plain text plain text with abstract BibTeX RIS (EndNote, RefMan, ProCite) ReDIF in new window

1. Eleanor Xu, Xiaoqing & Chen, Peter & Wu, Chunchi, 2006. "Time and dynamic volume-volatility relation," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1535-1558, May.
2. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
   
   • Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2007. "Real-Time Price Discovery in Global Stock, Bond and Foreign Exchange Markets," CREATES Research Papers 2007-20, School of Economics and Management, University of Aarhus.
   • Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2006. "Real-time price discovery in global stock, bond and foreign exchange markets," International Finance Discussion Papers 871, Board of Governors of the Federal Reserve System (U.S.).
3. Michael Johannes, 2004. "The Statistical and Economic Role of Jumps in Continuous-Time Interest Rate Models," Journal of Finance, American Finance Association, vol. 59(1), pages 227-260, 02.
4. Fernandes, Marcelo & Grammig, Joachim, 2002. "A Family of Autoregressive Conditional Duration Models," Economics Working Papers (Ensaios Economicos da EPGE) 440, Graduate School of Economics, Getulio Vargas Foundation (Brazil).
   
   • Fernandes, Marcelo & Grammig, Joachim, 2006. "A family of autoregressive conditional duration models," Journal of Econometrics, Elsevier, vol. 130(1), pages 1-23, January.
   • FERNANDES, Marcelo & GRAMMIG, Joachim, 2001. "A family of autoregressive conditional duration models," CORE Discussion Papers 2001036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
   • Fernandes, Marcelo & Grammig, Joachim, 2003. "A family of autoregressive conditional duration models," Economics Working Papers (Ensaios Economicos da EPGE) 501, Graduate School of Economics, Getulio Vargas Foundation (Brazil).
5. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
6. Bauwens, Luc & Veredas, David, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations," Journal of Econometrics, Elsevier, vol. 119(2), pages 381-412, April.
7. Bauwens, Luc, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations. J. Econom," Open Access publications from Université catholique de Louvain info:hdl:2078.1/40491, Université catholique de Louvain.
8. Robert F. Engle, 2000. "The Econometrics of Ultra-High Frequency Data," Econometrica, Econometric Society, vol. 68(1), pages 1-22, January.
   
   • Robert F. Engle, 1996. "The Econometrics of Ultra-High Frequency Data," NBER Working Papers 5816, National Bureau of Economic Research, Inc.
9. Engle, Robert F. & Russell, Jeffrey R., 1997. "Forecasting the frequency of changes in quoted foreign exchange prices with the autoregressive conditional duration model," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 187-212, June.
10. Dungey, Mardi & McKenzie, Michael & Smith, L. Vanessa, 2009. "Empirical evidence on jumps in the term structure of the US Treasury Market," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 430-445, June.
    
    • Mardi Dungey & Michael McKenzie & Vanessa Smith, 2007. "Empirical Evidence On Jumps In The Term Structure Of The Us Treasury Market," CAMA Working Papers 2007-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
11. Bauwens, Luc, 2006. "Econometric Analysis of Intra-daily Trading Activity on the Tokyo Stock Exchange," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 24(1), pages 1-23, March.
12. Boni, Leslie & Leach, Chris, 2004. "Expandable limit order markets," Journal of Financial Markets, Elsevier, vol. 7(2), pages 145-185, February.
13. Luc BAUWENS & Pierre GIOT, 2000. "The Logarithmic ACD Model: An Application to the Bid-Ask Quote Process of Three NYSE Stocks," Annales d'Economie et de Statistique, ENSAE, issue 60, pages 117-149.
14. Luc Bauwens & Nikolaus Hautsch, 2007. "Modelling Financial High Frequency Data Using Point Processes," SFB 649 Discussion Papers SFB649DP2007-066, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    
    • BAUWENS, Luc & HAUTSCH, Nikolaus, 2006. "Modelling financial high frequency data using point processes," CORE Discussion Papers 2006080, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Luc, BAUWENS & Nikolaus, HAUTSCH, 2006. "Modelling Financial High Frequency Data Using Point Processes," Discussion Papers (ECON - Département des Sciences Economiques) 2006039, Université catholique de Louvain, Département des Sciences Economiques.
15. Kuttner, Kenneth N., 2001. "Monetary policy surprises and interest rates: Evidence from the Fed funds futures market," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 523-544, June.
    
    • Kenneth N. Kuttner, 2000. "Monetary policy surprises and interest rates: evidence from the Fed funds futures markets," Staff Reports 99, Federal Reserve Bank of New York.
16. Michael J. Fleming & Eli M. Remolona, 1997. "What moves the bond market?," Research Paper 9706, Federal Reserve Bank of New York.
    
    • Michael J. Fleming & Eli M. Remolona, 1997. "What moves the bond market?," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 31-50.
17. T. Clifton Green, 2004. "Economic News and the Impact of Trading on Bond Prices," Journal of Finance, American Finance Association, vol. 59(3), pages 1201-1234, 06.
18. Bruce Mizrach & Christopher J. Neely, 2006. "The transition to electronic communications networks in the secondary treasury market," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 527-542.
19. Easley, David & O'Hara, Maureen, 1992. " Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
20. Joachim Grammig & Kai-Oliver Maurer, 2000. "Non-monotonic hazard functions and the autoregressive conditional duration model," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 16-38.
21. Paolo Pasquariello & Clara Vega, 2006. "Informed and strategic order flow in the bond markets," International Finance Discussion Papers 874, Board of Governors of the Federal Reserve System (U.S.).
    
    • Paolo Pasquariello & Clara Vega, 2007. "Informed and Strategic Order Flow in the Bond Markets," Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1975-2019, November.
22. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(04), pages 523-543, December.
23. Michael J. Fleming & Eli M. Remolona, 1999. "Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information," Journal of Finance, American Finance Association, vol. 54(5), pages 1901-1915, October.
24. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.

Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:tas:wpaper:10446

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Derek Rowlands).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

---

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.

Privacy Legal