Skip to main content
Log in

The non-random walk of stock prices: the long-term correlation between signs and sizes

  • Published:
The European Physical Journal B Aims and scope Submit manuscript

Abstract

We investigate the random walk of prices by developing a simple model relating the properties of the signs and absolute values of individual price changes to the diffusion rate (volatility) of prices at longer time scales. We show that this benchmark model is unable to reproduce the diffusion properties of real prices. Specifically, we find that for one hour intervals this model consistently over-predicts the volatility of real price series by about 70%, and that this effect becomes stronger as the length of the intervals increases. By selectively shuffling some components of the data while preserving others we are able to show that this discrepancy is caused by a subtle but long-range non-contemporaneous correlation between the signs and sizes of individual returns. We conjecture that this is related to the long-memory of transaction signs and the need to enforce market efficiency.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. L. Bachelier, in The Random Character of Stock Prices, edited by H.P. Cooper (Cambridge, 1964)

  2. P. Cootner, The random character of stock prices (MIT Press, Cambridge, MA, 1964)

    Google Scholar 

  3. R.F. Engle, Econometrica 50, 987 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  4. Z. Ding, C.W.J. Granger, R.F. Engle, J. Empir. Finance 1, 83 (1993)

    Article  Google Scholar 

  5. F.J. Breidt, N. Crato, P.J.F. de Lima, Working paper (Johns Hopkins University, 1993)

  6. A.C. Harvey, Working paper (London School of Economics, 1993)

  7. M. Montero, J. Perello, J. Masoliver, F. Lillo, S. Micciche, R. Mantegna, Phys. Rev. E 72, 056101 (2005)

    Article  ADS  Google Scholar 

  8. Y.J. Campbell, A.W. Lo, A.C. Mackinlay, The Econometrics of Financial Markets (Princeton University Press, Princeton, 1997)

    MATH  Google Scholar 

  9. R. Engle, J. Rangel, Tech. rep., NYU and UCSD (2005)

  10. R. Engle, E. Ghysels, B. Sohn, Tech. rep., New York University and University of North Carolina at Chapel Hill (2006)

  11. R. Roll, Am. Econ. Rev. 861 (1984)

  12. K. French, R. Roll, J. Financ. Econ. 17, 5 (1986)

    Article  Google Scholar 

  13. D.M. Cutler, J.M. Poterba, L.H. Summers, The Journal of Portfolio Management 15, 4 (1989)

    Article  Google Scholar 

  14. P.K. Clark, Econometrica 41, 135 (1973)

    Article  MATH  MathSciNet  Google Scholar 

  15. V. Plerou, P. Gopikrishnan, L.A.N. Amaral, X. Gabaix, H.E. Stanley, Phys. Rev. E 62, R3023 (2000)

    Article  ADS  Google Scholar 

  16. T. Ane, H. Geman, J. Financ. 55, 2259 (2000)

    Article  Google Scholar 

  17. T. Andersen, T. Bollerslev, F. Diebold, P. Labys, Econometrica 71, 579 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  18. L. Gillemot, J.D. Farmer, F. Lillo, Quant. Finance 6, 371 (2006)

    Article  MATH  Google Scholar 

  19. J.P. Bouchaud, Y. Gefen, M. Potters, M. Wyart, Quantit. Finance 4, 176 (2004)

    ADS  Google Scholar 

  20. F. Lillo, J.D. Farmer, Studies in Nonlinear Dynamics & Econometrics 8, 1 (2004)

    Article  ADS  Google Scholar 

  21. J.P. Bouchaud, J. Kockelkoren, M. Potters, Quant. Finance 6, 115 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  22. J. Farmer, A. Gerig, F. Lillo, S. Mike, Quantit. Finance 6, 107 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  23. J. Hamilton, Time series analysis (Princeton University Press, Princeton, 1994)

    MATH  Google Scholar 

  24. E.F. Fama, The Journal of Business 38, 34 (1965)

    Article  Google Scholar 

  25. B. Mandelbrot, The Journal of Business 36, 394 (1963)

    Article  Google Scholar 

  26. F.M. Longin, The Journal of Business 69, 383 (1996)

    Article  Google Scholar 

  27. T. Lux, Appl. Fin. Econ. 6, 463 (1996)

    Article  ADS  Google Scholar 

  28. P. Gopikrishnan, M. Meyer, L. Amaral, H. Stanley, Eur. Phys. J. B. 3, 139 (1998)

    Article  ADS  Google Scholar 

  29. B.M. Hill, Ann. Stat. 3, 1163 (1975)

    Article  MATH  Google Scholar 

  30. J. Beran, Statistics for Long-Memory Processes (Chapman & Hall, New York, 1994)

    MATH  Google Scholar 

  31. C.K. Peng, S.V. Buldyrev, S. Havlin, M. Simons, H.E. Stanley, A.L. Goldberger, Phys. Rev. E 49, 1685 (1994)

    Article  ADS  Google Scholar 

  32. P. Weber, Phys. Rev. E. 75, 016105 (2006)

    Article  ADS  Google Scholar 

  33. J.P. Bouchaud, A. Matacz, M. Potters, Phys. Rev. Lett. 87, 228701 (2001)

    Article  ADS  Google Scholar 

  34. A. Gerig, Ph.D. thesis, University of Illinois (2007), http://www.santafe.edu/~gerig/Gerig07_TheoryMarketImpact.pdf

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G. La Spada.

Rights and permissions

Reprints and permissions

About this article

Cite this article

La Spada, G., Farmer, J.D. & Lillo, F. The non-random walk of stock prices: the long-term correlation between signs and sizes. Eur. Phys. J. B 64, 607–614 (2008). https://doi.org/10.1140/epjb/e2008-00244-4

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1140/epjb/e2008-00244-4

PACS

Navigation