Article ID Journal Published Year Pages File Type
979024 Physica A: Statistical Mechanics and its Applications 2010 12 Pages PDF
Abstract

Long term memory effects in stock market indices that represent internationally diversified stocks are analyzed in this paper and the results are compared with the S&P 500 index. The Hurst exponent and the Detrended fluctuation analysis (DFA) technique are the tools used for this analysis. The financial time-series data of these indices are tested with the Normalized Truncated Levy Flight to check whether the evolution of these indices is explained by the TLF.Some features that seem to be specific for international indices are discovered and briefly discussed. In particular, a potential investor seems to be faced with new investment opportunities in emerging markets during and especially after a crisis.

Related Topics
Physical Sciences and Engineering Mathematics Mathematical Physics
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