IDEAS home Printed from https://ideas.repec.org/p/hhs/hastef/0208.html
   My bibliography  Save this paper

On the Damodaran Estimator of Price Adjustment Coefficients

Author

Listed:

Abstract

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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://swopec.hhs.se/hastef/papers/hastef0208.pdf.zip
    File Function: Complete Rendering
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0208.pdf
    File Function: Complete Rendering
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0208.ps.zip
    File Function: Complete Rendering
    Download Restriction: no

    File URL: http://swopec.hhs.se/hastef/papers/hastef0208.ps
    File Function: Complete Rendering
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. Chan, Kalok, 1993. "Imperfect Information and Cross-Autocorrelation among Stock Prices," Journal of Finance, American Finance Association, vol. 48(4), pages 1211-1230, September.
    5. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    6. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Säfvenblad, Patrik, 1997. "Lead-Lag Effects When Prices Reveal Cross-Security Information," SSE/EFI Working Paper Series in Economics and Finance 189, Stockholm School of Economics.
    2. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    3. Gębka, Bartosz & Wohar, Mark E., 2013. "The determinants of quantile autocorrelations: Evidence from the UK," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 51-61.
    4. Safvenblad, Patrik, 2000. "Trading volume and autocorrelation: Empirical evidence from the Stockholm Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 24(8), pages 1275-1287, August.
    5. Harvey, Campbell R. & Huang, Roger D., 2002. "The impact of the Federal Reserve Bank's open market operations," Journal of Financial Markets, Elsevier, vol. 5(2), pages 223-257, April.
    6. Andersen, Torben G. & Cebiroglu, Gökhan & Hautsch, Nikolaus, 2017. "Volatility, information feedback and market microstructure noise: A tale of two regimes," CFS Working Paper Series 569, Center for Financial Studies (CFS).
    7. Simone Bianco & Roberto Reno, 2009. "Unexpected volatility and intraday serial correlation," Quantitative Finance, Taylor & Francis Journals, vol. 9(4), pages 465-475.
    8. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    9. de Jong, Frank & Nijman, Theo, 1997. "High frequency analysis of lead-lag relationships between financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 259-277, June.
    10. 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.
    11. Roll, Richard & Schwartz, Eduardo & Subrahmanyam, Avanidhar, 2014. "Trading activity in the equity market and its contingent claims: An empirical investigation," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 13-35.
    12. Gehrig, Thomas & Haas, Marlene, 2016. "Anomalous Trading Prior to Lehman Brothers' Failure," CEPR Discussion Papers 11194, C.E.P.R. Discussion Papers.
    13. Bruno Biais & Pierre Hillion & Chester Spatt, 1999. "Price Discovery and Learning during the Preopening Period in the Paris Bourse," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1218-1248, December.
    14. Hiremath, Gourishankar S, 2009. "Effects of Option Introduction on Price and Volatility of Underlying Assets - A Review," MPRA Paper 46512, University Library of Munich, Germany.
    15. Andersen, Torben G. & Archakov, Ilya & Cebiroglu, Gökhan & Hautsch, Nikolaus, 2022. "Local mispricing and microstructural noise: A parametric perspective," Journal of Econometrics, Elsevier, vol. 230(2), pages 510-534.
    16. Säfvenblad, Patrik, 1999. "The Informational Advantage of Foreign Investors: An Empirical Study of the Swedish Bond Market," Working Paper Series 86, Sveriges Riksbank (Central Bank of Sweden).
    17. Jos Van Bommel & Jay Dahya & Zhihong Shi, 2010. "An empirical investigation of the speed of information aggregation: a study of IPOs," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(1), pages 47-79.
    18. Anderson, Robert M. & Eom, Kyong Shik & Hahn, Sang Buhm & Park, Jong-Ho, 2013. "Autocorrelation and partial price adjustment," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 78-93.
    19. Chelley-Steeley, Patricia L. & Lambertides, Neophytos & Steeley, James M., 2015. "The effects of non-trading on the illiquidity ratio," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 204-228.
    20. Yu Cong & Rani Hoitash & Murugappa Krishnan, 2010. "Event study with imperfect competition and private information: earnings announcements revisited," Review of Quantitative Finance and Accounting, Springer, vol. 34(3), pages 383-411, April.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:hastef:0208. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Helena Lundin (email available below). General contact details of provider: https://edirc.repec.org/data/erhhsse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.