
A new concept, called balanced estimator of diffusion entropy, is proposed to detect scalings in short time series. The effectiveness of the method is verified by means of a large number of artificial fractional Brownian motions. It is used also to detect scaling properties and structural breaks in stock price series of Shanghai Stock market.
6 pages, 4 figures
FOS: Economics and business, Statistical Finance (q-fin.ST), Physics - Data Analysis, Statistics and Probability, Quantitative Finance - Statistical Finance, FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Data Analysis, Statistics and Probability (physics.data-an)
FOS: Economics and business, Statistical Finance (q-fin.ST), Physics - Data Analysis, Statistics and Probability, Quantitative Finance - Statistical Finance, FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Data Analysis, Statistics and Probability (physics.data-an)
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