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Inferring the private information content of trades: a regime-switching approach The views presented in the paper are not necessarily shared by the European Central Bank

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  • Ken Nyholm

    (European Central Bank, Risk Management Division, Kaiserstrasse 29 D-60311 Frankfurt am Main, Germany)

Abstract

This paper presents an empirical model for inferring the private information content of trades at the transaction level. The trade-indicator model of Glosten and Harris (1988) is extended to a two-state regime-switching setting, and the model is estimated using tick-by-tick data from the New York Stock Exchange (NYSE). The specialist is found to react in accordance with the proposed model. Bid-ask quotes set after the execution of a trade reflect the conjectured information content of that particular trade. Based on the estimated model four empirical results emerge: (a) the suggested regime-switching model fit data well; (b) the reverse J-shaped pattern of intra-daily quoted spreads is shown to agree with the clustering of costs incurred by the specialist through trading with better-informed agents; (c) on average 9% of all trades are found to reveal private: information to the specialist; (d) results regarding the trading volume of informed traders support the stealth trading hypothesis suggested by Barclay and Warner (1993). Copyright © 2003 John Wiley & Sons, Ltd.

Suggested Citation

  • Ken Nyholm, 2003. "Inferring the private information content of trades: a regime-switching approach The views presented in the paper are not necessarily shared by the European Central Bank," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 457-470.
    • Handle: RePEc:jae:japmet:v:18:y:2003:i:4:p:457-470
    DOI: 10.1002/jae.707
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    References listed on IDEAS

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    1. Madhavan, Ananth & Smidt, Seymour, 1993. "An Analysis of Changes in Specialist Inventories and Quotations," Journal of Finance, American Finance Association, vol. 48(5), pages 1595-1628, December.
    2. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    3. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    4. 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.
    5. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    6. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 61-82, Suppl. De.
    7. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    8. McInish, Thomas H & Wood, Robert A, 1992. "An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks," Journal of Finance, American Finance Association, vol. 47(2), pages 753-764, June.
    9. Goodwin, Thomas H, 1993. "Business-Cycle Analysis with a Markov-Switching Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 331-339, July.
    10. Foster, F Douglas & Viswanathan, S, 1996. "Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-1478, September.
    11. Hansen, Bruce E, 1996. "Erratum: The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 195-198, March-Apr.
    12. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    13. Madhavan, Ananth & Sofianos, George, 1998. "An empirical analysis of NYSE specialist trading," Journal of Financial Economics, Elsevier, vol. 48(2), pages 189-210, May.
    14. Hasabrouck, Joel & Sofianos, George, 1993. "The Trades of Market Makers: An Empirical Analysis of NYSE Specialists," Journal of Finance, American Finance Association, vol. 48(5), pages 1565-1593, December.
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    Cited by:

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    2. David Abad & Antonio Rubia, 2005. "Modelos De Estimacion De La Probabilidad De Negociacion Informada: Una Comparacion Metodologica En El Mercado Español," Working Papers. Serie EC 2005-12, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. David Abad & Antonio Rubia, 2004. "Estimating The Probability Of Informed Trading: Further Evidence From An Order-Driven Market," Working Papers. Serie AD 2004-38, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Pedeli, Xanthi & Karlis, Dimitris, 2013. "Some properties of multivariate INAR(1) processes," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 213-225.

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