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Price Discovery in Fragmented Markets

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  • de Jong, Frank
  • Schotman, Peter C

Abstract

This Paper proposes a structural time series model for the intra-day price dynamics of fragmented financial markets. We generalize the structural model of Hasbrouck (1993) to a multivariate setting. We discuss identification issues and propose a new measure for the contribution of each market to price discovery. We illustrate the model by an empirical example using Nasdaq dealer quotes.

Suggested Citation

  • de Jong, Frank & Schotman, Peter C, 2003. "Price Discovery in Fragmented Markets," CEPR Discussion Papers 3987, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:3987
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    References listed on IDEAS

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    1. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    2. Lehmann, Bruce N., 2002. "Some desiderata for the measurement of price discovery across markets," Journal of Financial Markets, Elsevier, vol. 5(3), pages 259-276, July.
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    5. Upper, Christian & Werner, Thomas, 2002. "Tail Wags Dog? Time-Varying Information Shares in the Bund Market," Discussion Paper Series 1: Economic Studies 2002,24, Deutsche Bundesbank.
    6. Roger D. Huang, 2002. "The Quality of ECN and Nasdaq Market Maker Quotes," Journal of Finance, American Finance Association, vol. 57(3), pages 1285-1319, June.
    7. Hupperets, Erik C. J. & Menkveld, Albert J., 2002. "Intraday analysis of market integration: Dutch blue chips traded in Amsterdam and New York," Journal of Financial Markets, Elsevier, vol. 5(1), pages 57-82, January.
    8. Zhou, Bin, 1996. "High-Frequency Data and Volatility in Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 45-52, January.
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    11. de Jong, Frank & Mahieu, Ronald J & Schotman, Peter C, 1999. "Price Discovery on Foreign Exchange Markets," CEPR Discussion Papers 2296, C.E.P.R. Discussion Papers.
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    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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