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Order Arrival, Quote Behavior, and the Return-Generating Process


  • Hasbrouck, Joel
  • Ho, Thomas S Y


This paper establishes three empirical results. The authors find positive autocorrelation in actual intraday stock returns, in intraday returns computed from quot e-midpoints, and in the arrival of buy and sell orders. They present a model of return generation which incorporates these features via la gged adjustment of the limit-order price and positive dependence in b id and ask transactions. The return model is observationally equivale nt to an ARMA process which is consistent with the observed return be havior. Copyright 1987 by American Finance Association.

Suggested Citation

  • Hasbrouck, Joel & Ho, Thomas S Y, 1987. "Order Arrival, Quote Behavior, and the Return-Generating Process," Journal of Finance, American Finance Association, vol. 42(4), pages 1035-1048, September.
  • Handle: RePEc:bla:jfinan:v:42:y:1987:i:4:p:1035-48

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    Cited by:

    1. Malinova, Katya & Park, Andreas, 2010. "Trading Volume in Dealer Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(6), pages 1447-1484, December.
    2. Caporin, Massimiliano & Kolokolov, Aleksey & Renò, Roberto, 2017. "Systemic co-jumps," Journal of Financial Economics, Elsevier, vol. 126(3), pages 563-591.
    3. Neal, Robert & Wheatley, Simon M., 1998. "Adverse selection and bid-ask spreads: Evidence from closed-end funds," Journal of Financial Markets, Elsevier, vol. 1(1), pages 121-149, April.
    4. Brown, Philip & Walsh, David & Yuen, Andrea, 1997. "The interaction between order imbalance and stock price," Pacific-Basin Finance Journal, Elsevier, vol. 5(5), pages 539-557, December.
    5. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    6. Weiyu Kuo & Yu‐Ching Li, 2011. "Trading Mechanisms and Market Quality: Call Markets versus Continuous Auction Markets," International Review of Finance, International Review of Finance Ltd., vol. 11(4), pages 417-444, December.
    7. Christian Gourieroux & Gaëlle Le Fol, 1997. "Volatilités et mesures de risque," Post-Print halshs-00877048, HAL.
    8. Li, Z. Merrick & Laeven, Roger J.A. & Vellekoop, Michel H., 2020. "Dependent microstructure noise and integrated volatility estimation from high-frequency data," Journal of Econometrics, Elsevier, vol. 215(2), pages 536-558.
    9. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    10. Patricia Chelley-Steeley, 2001. "Opening Returns, Noise, And Overreaction," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(4), pages 513-521, December.
    11. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    12. Shrestha, Keshab & Subramaniam, Ravichandran & Peranginangin, Yessy & Philip, Sheena Sara Suresh, 2018. "Quantile hedge ratio for energy markets," Energy Economics, Elsevier, vol. 71(C), pages 253-272.
    13. Angelo Ranaldo & Fabricius Somogyi, 2018. "Asymmetric Information Risk in FX Markets," Working Papers on Finance 1820, University of St. Gallen, School of Finance, revised Apr 2020.
    14. Zhang, Sijia & Gregoriou, Andros, 2019. "The price behavior around initial loan announcements: Evidence from zero-leverage firms in the UK," Research in International Business and Finance, Elsevier, vol. 50(C), pages 191-200.
    15. Huang, Ying & Jacoby, Gady & Jiang, Christine X., 2016. "The bonding hypothesis and the home market liquidity of Chinese cross-listed stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 146-157.
    16. Julius Bonart & Fabrizio Lillo, 2016. "A continuous and efficient fundamental price on the discrete order book grid," Papers 1608.00756,, revised Aug 2016.
    17. Bonart, Julius & Lillo, Fabrizio, 2018. "A continuous and efficient fundamental price on the discrete order book grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 698-713.
    18. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    19. Ahn, Hee-Joon & Cai, Jun & Hamao, Yasushi & Ho, Richard Y. K., 2002. "The components of the bid-ask spread in a limit-order market: evidence from the Tokyo Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 399-430, November.
    20. Yu Chuan Huang, 2004. "The components of bid‐ask spread and their determinants: TAIFEX versus SGX‐DT," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(9), pages 835-860, September.
    21. Philip, R., 2020. "Estimating permanent price impact via machine learning," Journal of Econometrics, Elsevier, vol. 215(2), pages 414-449.

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