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Efficient estimation of price adjustment coefficients

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Abstract

The price adjustment coefficient model of Amihud and Mendelson (1987) is shown to be suitable for estimation by the Kalman filter. A techique that, under some commonly used conditions, is asymptotically efficient. By Monte Carlo simulations it is shown that both bias and mean squared error are much smaler compared to the estimator proposed by Damodaran and Lim (1991) and Damodaran (1993). A test for the adeqacy of the model is also proposed. Using data from four minor, the nordic countries except Iceland, and one major, US, stock markets the results are that the markets under-react to new information, but for most of the nordic countries, the model is not adequate.

Suggested Citation

  • Lyhagen, Johan, 1999. "Efficient estimation of price adjustment coefficients," SSE/EFI Working Paper Series in Economics and Finance 332, Stockholm School of Economics.
  • Handle: RePEc:hhs:hastef:0332
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    Cited by:

    1. Daya, Wael & Mazouz, Khelifa & Freeman, Mark, 2012. "Information efficiency changes following FTSE 100 index revisions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 1054-1069.

    More about this item

    Keywords

    Estimation; efficiency; price adjustment;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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