The Hurst exponent in energy futures prices

Apostolos Serletis and Aryeh Adam Rosenberg

Physica A: Statistical Mechanics and its Applications, 2007, vol. 380, issue C, 325-332

Abstract: This paper extends the work in Elder and Serletis [Long memory in energy futures prices, Rev. Financial Econ., forthcoming, 2007] and Serletis et al. [Detrended fluctuation analysis of the US stock market, Int. J. Bifurcation Chaos, forthcoming, 2007] by re-examining the empirical evidence for random walk type behavior in energy futures prices. In doing so, it uses daily data on energy futures traded on the New York Mercantile Exchange, over the period from July 2, 1990 to November 1, 2006, and a statistical physics approach—the ‘detrending moving average’ technique—providing a reliable framework for testing the information efficiency in financial markets as shown by Alessio et al. [Second-order moving average and scaling of stochastic time series, Eur. Phys. J. B 27 (2002) 197–200] and Carbone et al. [Time-dependent hurst exponent in financial time series. Physica A 344 (2004) 267–271; Analysis of clusters formed by the moving average of a long-range correlated time series. Phys. Rev. E 69 (2004) 026105]. The results show that energy futures returns display long memory and that the particular form of long memory is anti-persistence.

Keywords: Efficient market hypothesis; Random walk; Power laws; Detrending moving average analysis (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (46)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:380:y:2007:i:c:p:325-332

DOI: 10.1016/j.physa.2007.02.055

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