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The scaling function-based estimator of the long memory parameter: a comparative study

Author

Listed:
  • jérôme Fillol

    () (MODEM - CNRS)

  • Fabien Tripier

    () (MODEM - CNRS)

Abstract

In this paper an original estimator of long memory is considered. It is based on the scaling function directly extracted from multifractal formalism. Monte Carlo simulations show that the scaling function gives interesting results, notably in terms of confidence intervals, which are smaller than the usual methods.

Suggested Citation

  • jérôme Fillol & Fabien Tripier, 2003. "The scaling function-based estimator of the long memory parameter: a comparative study," Economics Bulletin, AccessEcon, vol. 3(23), pages 1-7.
  • Handle: RePEc:ebl:ecbull:eb-03c10006
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    File URL: http://www.accessecon.com/pubs/EB/2003/Volume3/EB-03C10006A.pdf
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    References listed on IDEAS

    as
    1. Diebold, Francis X. & Rudebusch, Glenn D., 1989. "Long memory and persistence in aggregate output," Journal of Monetary Economics, Elsevier, vol. 24(2), pages 189-209, September.
    2. Laurent Calvet & Adlai Fisher, 2002. "Multifractality In Asset Returns: Theory And Evidence," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 381-406, August.
    3. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    4. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
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    Cited by:

    1. Goddard, John & Onali, Enrico, 2012. "Self-affinity in financial asset returns," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 1-11.
    2. Jérôme Fillol, 2003. "Multifractality: Theory and Evidence an Application to the French Stock Market," Economics Bulletin, AccessEcon, vol. 3(31), pages 1-12.

    More about this item

    Keywords

    Long memory;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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