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Price Discovery on Foreign Exchange Markets with Differentially Informed Traders

Author

Listed:
  • de Jong, F.
  • Mahieu, R.
  • Schotman, P.
  • Leeuwen, I.

Abstract

This paper uses Reuters exchange rate data to investigate the contributions to the price discovery process by individual banks in the foreign exchange market. We propose multivariate time series models as well as models in tick time to study the dynamic relations between the quotes of individual banks. We investigate the hypothesis that German banks are price leaders in the deutschmark/dollar market.

Suggested Citation

  • de Jong, F. & Mahieu, R. & Schotman, P. & Leeuwen, I., 1999. "Price Discovery on Foreign Exchange Markets with Differentially Informed Traders," Papers 99-56, Southern California - School of Business Administration.
    • Handle: RePEc:fth:socabu:99-56
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    Cited by:

    1. Tsang, Kwok Ping & Yang, Zichao, 2021. "The market for bitcoin transactions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    2. Sapp, Stephen G., 2002. "Price Leadership in the Spot Foreign Exchange Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 425-448, September.
    3. Calcagno, R. & Lovo, S.M., 2002. "Market Efficiency and Price Formation When Dealers are Asymmetrically Informed," Discussion Paper 2002-42, Tilburg University, Center for Economic Research.
    4. Calcagno, R. & Lovo, S.M., 2002. "Market Efficiency and Price Formation When Dealers are Asymmetrically Informed," Other publications TiSEM 30951a58-24f2-43f0-9e35-e, Tilburg University, School of Economics and Management.
    5. LOVO, Stefano M. & CALCAGNO, R., 2001. "Market efficiency and Price Formation when Dealers are Asymmetrically Informed," HEC Research Papers Series 737, HEC Paris.

    More about this item

    Keywords

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • 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

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