Published May 30, 2009 | Version v1
Journal article

Mean reversion in the US stock market

  • 1. Department of Economics, University of Calgary, Calgary, Alberta, T2N 1N4 (Canada)

Description

This paper revisits the evidence for the weaker form of the efficient market hypothesis, building on recent work by Serletis and Shintani [Serletis A, Shintani M. No evidence of chaos but some evidence of dependence in the US stock market. Chaos, Solitons and Fractals 2003;17:449-54], Elder and Serletis [Elder J, Serletis A. On fractional integrating dynamics in the US stock market. Chaos, Solitons and Fractals 2007;34;777-81], Koustas et al. [Koustas Z, Lamarche J.-F, Serletis A. Threshold random walks in the US stock market. Chaos, Solitons and Fractals, forthcoming], Hinich and Serletis [Hinich M, Serletis A. Randomly modulated periodicity in the US stock market. Chaos, Solitons and Fractals, forthcoming], and Serletis et al. [Serletis A, Uritskaya OY, Uritsky VM. Detrended Fluctuation analysis of the US stock market. Int J Bifurc Chaos, forthcoming]. In doing so, we use daily data, over the period from 5 February 1971 to 1 December 2006 (a total of 9045 observations) on four US stock market indexes - the Dow Jones Industrial Average, the Standard and Poor's 500 Index, the NASDAQ Composite Index, and the NYSE Composite Index - and a new statistical physics approach - namely the 'detrending moving average (DMA)' technique, recently introduced by Alessio et al. [Alessio E, Carbone A, Castelli G, Frappietro V. Second-order moving average and scaling of stochastic time series. Euro Phys J B 2002;27;197-200.] and further developed by Carbone et al. [Carbone A, Castelli G, Stanley HE. Time dependent hurst exponent in financial time series. Physica A 2004;344;267-71, Carbone A, Castelli G, Stanley HE. Analysis of clusters formed by the moving average of a long-range correlated time series. Phys Rev E 2004;69;026105.]. The robustness of the results to the use of alternative testing methodologies is also investigated, by using Lo's [Lo AW. Long-term memory in stock market prices. Econometrica 1991;59:1279-313.] modified rescaled range analysis. We conclude that US stock market returns display anti-persistence (mean reversion).

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2007.09.085

Additional details

Identifiers

DOI
10.1016/j.chaos.2007.09.085;
PII
S0960-0779(07)00829-6;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
40
Journal Issue
4
Journal Page Range
p. 2007-2015
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41008999
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
CHAOS THEORY; FLUCTUATIONS; GRAPH THEORY; MARKET; PERIODICITY; PRICES; RANDOMNESS; STOCHASTIC PROCESSES; TIME DEPENDENCE
Descriptors DEC
MATHEMATICS; VARIATIONS

Optional Information

Copyright
Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.