Search results for " multi-fractals"

showing 2 items of 2 documents

Using the Scaling Analysis to Characterize Financial Markets

2003

We empirically analyze the scaling properties of daily Foreign Exchange rates, Stock Market indices and Bond futures across different financial markets. We study the scaling behaviour of the time series by using a generalized Hurst exponent approach. We verify the robustness of this approach and we compare the results with the scaling properties in the frequency-domain. We find evidence of deviations from the pure Brownian motion behavior. We show that these deviations are associated with characteristics of the specific markets and they can be, therefore, used to distinguish the different degrees of development of the markets.

FOS: Economics and businessStatistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)jel:G1Quantitative Finance - Statistical FinanceFOS: Physical sciencesCondensed Matter - Statistical Mechanicsscaling exponents time series analysis multi-fractals financial market
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Long-term memories of developed and emerging markets: Using the scaling analysis to characterize their stage of development

2005

The scaling properties encompass in a simple analysis many of the volatility characteristics of financial markets. That is why we use them to probe the different degree of markets development. We empirically study the scaling properties of daily Foreign Exchange rates, Stock Market indices and fixed income instruments by using the generalized Hurst approach. We show that the scaling exponents are associated with characteristics of the specific markets and can be used to differentiate markets in their stage of development. The robustness of the results is tested by both Monte-Carlo studies and a computation of the scaling in the frequency-domain.

jel:G1jel:C1jel:C00jel:G00Scaling exponents; Time series analysis; Multi-fractals
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