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Trades and Quotes: A Bivariate Point Process

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Author Info
Robert F. Engle
Asger Lunde

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Abstract

Recent empirical work has studied point processes of transactions in financial markets and observed clear time dependent patterns in these arrival times. However these studies do not examine the timing of quoted price changes. This paper formulates a bivariate point process to jointly analyze transaction and quote arrivals. In microstructure models, transactions may reveal private information which is then incorporated into new prices. This paper examines the speed of this information flow and the circumstances which govern it. One of the main conclusions are that conditional on past quote times, the impact of trade information is to make quote durations longer when there is more information flow rather than less. This is interpreted as evidence that limit order suppliers become more cautious in the presence of apparent informational trading.

* University of Aarhus

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Paper provided by Department of Economics, UC San Diego in its series University of California at San Diego, Economics Working Paper Series with number 98-07.

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Date of creation: Feb 1998
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Handle: RePEc:cdl:ucsdec:98-07

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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.:
  1. Tim Bollerslev & Jeffrey Wooldridge, 1992. "Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances," Econometric Reviews, Taylor and Francis Journals, vol. 11(2), pages 143-172. [Downloadable!] (restricted)
  2. Alfonso Dufour & Robert F. Engle, 1999. "Time and the Price Impact of a Trade," University of California at San Diego, Economics Working Paper Series 99-15, Department of Economics, UC San Diego. [Downloadable!]
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  3. Robert F. Engle, 1996. "The Econometrics of Ultra-High Frequency Data," NBER Working Papers 5816, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  4. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November. [Downloadable!] (restricted)
  5. Tim Bollerslev & Jeffrey M. Wooldridge, 1988. "Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances," Working papers 505, Massachusetts Institute of Technology (MIT), Department of Economics.
  6. Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-46, June. [Downloadable!] (restricted)
  7. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January. [Downloadable!] (restricted)
  8. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June. [Downloadable!] (restricted)
  9. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September. [Downloadable!] (restricted)
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(explanations, 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.)

  1. Erick Rengifo & Andresas Heinen, 2004. "Comovements in Trading activity: A Multivariate Autoregressive Model of Time Series Count Data Using Copulas," Econometric Society 2004 Far Eastern Meetings 755, Econometric Society. [Downloadable!]
  2. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," PIER Working Paper Archive 04-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania. [Downloadable!]
    Other versions:
  3. Spierdijk, L. & Nijman, T.E. & Soest, A.H.O., 2002. "The price impact of trades in illiquid stocks in periods of high and low market activity," Discussion Paper 29, Tilburg University, Center for Economic Research. [Downloadable!]
  4. BAUWENS, Luc & HAUTSCH, Nikolaus, 2003. "Dynamic latent factor models for intensity processes," CORE Discussion Papers 2003103, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
  5. Wing Lon NG, 2004. "Duration and Order Type Clusters," Econometric Society 2004 Australasian Meetings 272, Econometric Society. [Downloadable!]
  6. Chiara Scotti, 2006. "A bivariate model of Fed and ECB main policy rates," International Finance Discussion Papers 875, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  7. Wei Sun & Svetlozar Rachev & Frank Fabozzi & Petko Kalev, 2008. "Fractals in trade duration: capturing long-range dependence and heavy tailedness in modeling trade duration," Annals of Finance, Springer, vol. 4(2), pages 217-241, March. [Downloadable!] (restricted)
  8. Clive G. Bowsher, 2003. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2003-W03, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
  9. Wing Lon NG, 2004. "Duration and Order Type Clusters," Econometric Society 2004 Far Eastern Meetings 730, Econometric Society. [Downloadable!]
  10. 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. [Downloadable!]
    Other versions:
  11. Spierdijk, L. & Nijman, T.E. & Soest, A.H.O. van, 2002. "Modeling comovements in trading intensities to distinguish sector and stock specific news," Discussion Paper 69, Tilburg University, Center for Economic Research. [Downloadable!]
  12. Nikolaus Hautsch, 1999. "Analyzing the Time between Trades with a Gamma Compounded Hazard Model. An Application to LIFFE Bund Future Transactions," CoFE Discussion Paper 99-03, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
    Other versions:
  13. Anthony Tay & Christopher Ting & Yiu Kuen Tse & Mitch Warachka, 2004. "Transaction-Data Analysis of Marked Durations and Their Implications for Market Microstructure," Working Papers 09-2004, Singapore Management University, School of Economics. [Downloadable!]
  14. Joel Hasbrouck, 1999. "Trading Fast and Slow: Security Market Events in Real Time," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-012, New York University, Leonard N. Stern School of Business-. [Downloadable!]
  15. Simonsen, Ola, 2005. "An Empirical Model for Durations in Stocks," UmeÃ¥ Economic Studies 657, Umeå University, Department of Economics. [Downloadable!]
  16. Ola Simonsen, 2007. "An empirical model for durations in stocks," Annals of Finance, Springer, vol. 3(2), pages 241-255, March. [Downloadable!] (restricted)
  17. GRAMMIG, Joachim & HEINEN, AndrŽas & RENGIFO, Erick, 2004. "Trading activity and liquidity supply in a pure limit order book market," CORE Discussion Papers 2004058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
  18. Spierdijk, L., 2002. "An empirical analysis of the role of the trading intensity in information dissemination on the NYSE," Discussion Paper 30, Tilburg University, Center for Economic Research. [Downloadable!]
  19. GIOT, Pierre & ,, 1999. "Time transformations, intraday data and volatility models ," CORE Discussion Papers 1999044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
  20. Stanislav Anatolyev & Dmitry Shakin, 2006. "Trade intensity in the Russian stock market:dynamics, distribution and determinants," Working Papers w0070, Center for Economic and Financial Research (CEFIR). [Downloadable!]
    Other versions:
  21. Clive G. Bowsher, 2005. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2005-W26, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
    Other versions:
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