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When is inter-transaction time informative?

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  • Craig H. Furfine

Abstract

We investigate the information content of inter-transaction time and find that it varies both across stocks and over time. On average, inter-transaction time is found to be informative whenever stocks are sufficiently traded. The magnitude of the information content is found to be larger for less liquid, but still fairly actively traded stocks. In general, trades arriving quickly move prices more than trades arriving more slowly. Further, the information content of inter-transaction time is negatively correlated with proxies for the amount of private information in the trading of a particular stock. We then distinguish between trades in the same direction as the previous trade from trades in the reverse direction and find that the price impact of a trade as well as the information content of inter-transaction time is dependent on trade type. In general, reversing trades are more informative. Further, same-direction trades arriving quickly move prices more than same-direction trades arriving more slowly, but reversing trades arriving quickly move prices less than reversing trades arriving more slowly.

Suggested Citation

  • Craig H. Furfine, 2003. "When is inter-transaction time informative?," Working Paper Series WP-03-04, Federal Reserve Bank of Chicago.
    • Handle: RePEc:fip:fedhwp:wp-03-04
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    References listed on IDEAS

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    1. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    2. Alfonso Dufour & Robert F. Engle, 2000. "Time and the Price Impact of a Trade," Journal of Finance, American Finance Association, vol. 55(6), pages 2467-2498, December.
    3. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    4. David Easley & Robert F. Engle & Maureen O'Hara & Liuren Wu, 2008. "Time-Varying Arrival Rates of Informed and Uninformed Trades," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 171-207, Spring.
    5. Spierdijk, L. & Nijman, T.E. & van Soest, A.H.O., 2002. "The Price Impact of Trades in Illiquid Stocks in Periods of High and Low Market Activity," Other publications TiSEM d8b70967-e398-4f5d-825b-1, Tilburg University, School of Economics and Management.
    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 733-746, June.
    7. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    8. Richard K. Lyons, 1996. "Foreign Exchange Volume: Sound and Fury Signifying Nothing?," NBER Chapters, in: The Microstructure of Foreign Exchange Markets, pages 183-208, National Bureau of Economic Research, Inc.
    9. Liang Peng, 2001. "Trading Takes Time," Yale School of Management Working Papers ysm234, Yale School of Management.
    10. Jeffrey A. Frankel & Giampaolo Galli & Alberto Giovannini, 1996. "The Microstructure of Foreign Exchange Markets," NBER Books, National Bureau of Economic Research, Inc, number fran96-1.
    11. 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.
    12. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
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    Stock exchanges; Stock - Prices; Stocks;
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