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A Different Statistic for the Management of Portfolios - the Hurst Exponent: Persistent, Antipersistent or Random Time Series?

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  • Ana-Maria CALOMFIR (METESCU)

    (Romanian Academy, Romania)

Abstract

In recent years, research in the capital markets and management of portfolios has been producing more questions than it has been answering: the need for a new paradigm or a new way of looking at things has become more and more concludent. The existing and classical view of capital markets, based on efficient market hypothesis, has a definite theory for the last six decades, but it is still not capable of significantly increase the understanding of how capital markets function. The purpose of this article is to theoretically describe a less used statistic coefficient, having a vast area of applicability due to its robustness, and which can easily divide the random series from a non-random series, even if the random series is non-Gaussian: the Hurst exponent.

Suggested Citation

  • Ana-Maria CALOMFIR (METESCU), 2015. "A Different Statistic for the Management of Portfolios - the Hurst Exponent: Persistent, Antipersistent or Random Time Series?," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 18(2), pages 285-292, December.
    • Handle: RePEc:rom:econmn:v:18:y:2015:i:2:p:285-292
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    More about this item

    Keywords

    random walk; Hurst exponent; fractal dimension; capital markets.;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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