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Long memory and nonlinearity in stock markets

Author

Listed:
  • Derek Bond
  • Kenneth Dyson

Abstract

In this article the long memory and nonlinear properties of share prices in the UK's stock exchange and alternative investment markets are explored. The results suggest that the most commonly traded shares exhibit long memory. Thus, the validity of market efficiency is questioned.

Suggested Citation

  • Derek Bond & Kenneth Dyson, 2008. "Long memory and nonlinearity in stock markets," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 4(1), pages 45-48.
  • Handle: RePEc:taf:apfelt:v:4:y:2008:i:1:p:45-48
    DOI: 10.1080/17446540701367451
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    References listed on IDEAS

    as
    1. Gil-Alana, L.A., 2006. "Fractional integration in daily stock market indexes," Review of Financial Economics, Elsevier, vol. 15(1), pages 28-48.
    2. Diebold, Francis X. & Inoue, Atsushi, 2001. "Long memory and regime switching," Journal of Econometrics, Elsevier, vol. 105(1), pages 131-159, November.
    3. Hamilton, James D, 2001. "A Parametric Approach to Flexible Nonlinear Inference," Econometrica, Econometric Society, vol. 69(3), pages 537-573, May.
    4. Dahl, Christian M. & Gonzalez-Rivera, Gloria, 2003. "Testing for neglected nonlinearity in regression models based on the theory of random fields," Journal of Econometrics, Elsevier, vol. 114(1), pages 141-164, May.
    5. Juan J. Dolado & Jesus Gonzalo & Laura Mayoral, 2002. "A Fractional Dickey-Fuller Test for Unit Roots," Econometrica, Econometric Society, vol. 70(5), pages 1963-2006, September.
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    Citations

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    Cited by:

    1. Quinton Morris & Gary Van vuuren & Paul Styger, 2009. "Further Evidence Of Long Memory In The South African Stock Market," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 81-101, March.

    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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