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On the Damodaran Estimator of Price Adjustment Coefficients

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This paper investigates the properties of the Damodaran (Journal of Finance, 1993) estimator of price adjustment. It is concluded that strong bias and low precision of the Damodaran estimator renders it useless for empirical work, even when the available sample size is very large. As an alternative, a GMM-based estimator is derived. Its properties are significantly better than those of the Damodaran estimator. However, for empirical applications it is still preferable to estimate price adjustment speeds using concurrent information from related time series.

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  • Säfvenblad, Patrik, 1997. "On the Damodaran Estimator of Price Adjustment Coefficients," SSE/EFI Working Paper Series in Economics and Finance 208, Stockholm School of Economics.
  • Handle: RePEc:hhs:hastef:0208
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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    3. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211.
    4. Brisley, Neil & Theobald, Michael, 1996. "A Simple Measure of Price Adjustment Coefficients: A Correction," Journal of Finance, American Finance Association, vol. 51(1), pages 381-382, March.
    5. Richardson, Matthew & Smith, Tom, 1991. "Tests of Financial Models in the Presence of Overlapping Observations," The Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 227-254.
    6. Chan, Kalok, 1993. "Imperfect Information and Cross-Autocorrelation among Stock Prices," Journal of Finance, American Finance Association, vol. 48(4), pages 1211-1230, September.
    7. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    8. Amihud, Yakov & Mendelson, Haim, 1987. "Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-553, July.
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    More about this item

    Keywords

    Informational efficiency; price adjustment; GMM estimation; power test; simulation;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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