IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v387y2008i4p861-875.html
   My bibliography  Save this article

Market efficiency and the phase-lagging model of the price evolution

Author

Listed:
  • Kulish, Vladimir V.

Abstract

The paper presents a novel mathematical model of price evolution within the market. The model accounts for a finite time lag between the disturbance (news) and the market response to it. It follows from the model that any single disturbance brings the market out of its efficient state and the market is to come back into this state after some finite relaxation time. A quantitative measure of the market efficiency–the market efficiency coefficient–has been introduced. It has been demonstrated that a phase-lagging market is never either fully efficient or fully inefficient due to the finiteness of the frequency of disturbances (news) acting upon the market.

Suggested Citation

  • Kulish, Vladimir V., 2008. "Market efficiency and the phase-lagging model of the price evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 861-875.
  • Handle: RePEc:eee:phsmap:v:387:y:2008:i:4:p:861-875
    DOI: 10.1016/j.physa.2007.10.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437107010643
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2007.10.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    2. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    3. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    4. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    5. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    6. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Lei & Liu, Chunlin & Meng, Qingbin & Zeng, Hongchao, 2018. "Price discovery in China's inter-bank bond market," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 84-98.

    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. Razvan Stefanescu & Ramona Dumitriu, 2016. "Contrarian and Momentum Profits during Periods of High Trading Volume preceded by Stock Prices Shocks," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 378-384.
    2. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    3. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    4. Thomas Delcey, 2019. "Samuelson vs Fama on the Efficient Market Hypothesis: The Point of View of Expertise [Samuelson vs Fama sur l’efficience informationnelle des marchés financiers : le point de vue de l’expertise]," Post-Print hal-01618347, HAL.
    5. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    6. Stefanescu, Razvan & Dumitriu, Ramona, 2015. "Conţinutul analizei seriilor de timp financiare [The Essentials of the Analysis of Financial Time Series]," MPRA Paper 67175, University Library of Munich, Germany.
    7. Lu Zhang, 2019. "Q-factors and Investment CAPM," NBER Working Papers 26538, National Bureau of Economic Research, Inc.
    8. Roland Rothenstein, 2018. "Quantification of market efficiency based on informational-entropy," Papers 1812.02371, arXiv.org.
    9. Scruggs, John T., 2007. "Noise trader risk: Evidence from the Siamese twins," Journal of Financial Markets, Elsevier, vol. 10(1), pages 76-105, February.
    10. Kallberg, Jarl & Liu, Crocker H. & Pasquariello, Paolo, 2008. "Updating expectations: An analysis of post-9/11 returns," Journal of Financial Markets, Elsevier, vol. 11(4), pages 400-432, November.
    11. Berardi, Michele, 2021. "Uncertainty, sentiments and time-varying risk premia," MPRA Paper 106922, University Library of Munich, Germany.
    12. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    13. Fatma SIALA GUERMEZI, & Amani BOUSSAADA, 2016. "The Weak Form Of Informational Efficiency: Case Of Tunisian Banking Sector," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(1), pages 1-1, January.
    14. Rácz, Dávid Andor & Huszár, Gergely, 2019. "The Effects of Earnings Surprises in Quarterly Reports on S&P 500 Components," Public Finance Quarterly, Corvinus University of Budapest, vol. 64(2), pages 239-259.
    15. Sonntag, Dominik, 2018. "Die Theorie der fairen geometrischen Rendite [The Theory of Fair Geometric Returns]," MPRA Paper 87082, University Library of Munich, Germany.
    16. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    17. Maloney, Michael T. & Mulherin, J. Harold, 2003. "The complexity of price discovery in an efficient market: the stock market reaction to the Challenger crash," Journal of Corporate Finance, Elsevier, vol. 9(4), pages 453-479, September.
    18. Stefanescu, Razvan & Dumitriu, Ramona & Nistor, Costel, 2012. "Overreaction and underreaction on the BUCHAREST STOCK EXCHANGE," MPRA Paper 41555, University Library of Munich, Germany, revised 25 Sep 2012.
    19. Enrique Sentana, 1993. "The econometrics of the stock market I: rationality tests," Investigaciones Economicas, Fundación SEPI, vol. 17(3), pages 401-420, September.
    20. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.

    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:eee:phsmap:v:387:y:2008:i:4:p:861-875. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.