Abstract :
We reexamine the results of Serletis and Rosenberg [Serletis A, Rosenberg A. Mean reversion
in the US stock market. Chaos, Solitons and Fractals 2009;40:2007–2015.] who claim
that the returns of the most important US stock indices (DJI, NASDAQ, NYSE and S&P500)
are strongly anti-persistent and thus mean reverting. We apply various methods to detect
long-range dependence – detrending moving average, detrended fluctuation analysis, generalized
Hurst exponent approach, classical rescaled range analysis and modified rescaled
range analysis. We show that there are no signs of anti-persistence in any of the indices.
Moreover, we discuss that the authors did not find any anti-persistence but rather showed
returns of the said assets do not follow the scaling power law around their moving average
with varying window length. Anti-persistence is thus spurious and due to wrong application
of detrending moving average method.