By applying the multifractal detrended fluctuation analysis to the high-frequency tick-by-tick data from Deutsche Borse both in the price and in the time domains, we investigate multifractal properties of the time series of logarithmic price increments and inter-trade intervals of time. We show that both quantities reveal multiscaling and that this result holds across different stocks. The origin of the multifractal character of the corresponding dynamics is, among others, the long-range correlations in price increments and in inter-trade time intervals as well as the non-Gaussian distributions of the fluctuations. Since the transaction-to-transaction price increments do not strongly depend on or are almost independent of the inter-trade waiting times, both can be sources of the observed multifractal behaviour of the fixed-delay returns and volatility. The results presented also allow one to evaluate the applicability of the Multifractal Model of Asset Returns in the case of tick-by-tick data. (C) 2004 Elsevier B.V. All rights reserved.
机构:
Univ Sao Paulo, Fac Econ Adm & Contabilidade Ribeirao Preto, FEA RP, Ribeirao Preto, SP, BrazilUniv Sao Paulo, Fac Econ Adm & Contabilidade Ribeirao Preto, FEA RP, Ribeirao Preto, SP, Brazil
Maganini, Natalia Diniz
Da Silva Filho, Antonio Carlos
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Ctr Univ Municipal Franca Uni FACEF, Bairro Sao Jose, BrazilUniv Sao Paulo, Fac Econ Adm & Contabilidade Ribeirao Preto, FEA RP, Ribeirao Preto, SP, Brazil
Da Silva Filho, Antonio Carlos
Lima, Fabiano Guasti
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Univ Sao Paulo, Fac Econ Adm & Contabilidade Ribeirao Preto, FEA RP, Ribeirao Preto, SP, BrazilUniv Sao Paulo, Fac Econ Adm & Contabilidade Ribeirao Preto, FEA RP, Ribeirao Preto, SP, Brazil
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Nihon Univ, Grad Sch Integrated Basic Sci, Setagaya Ku, 3-25-40 Sakura Josui, Tokyo, JapanNihon Univ, Grad Sch Integrated Basic Sci, Setagaya Ku, 3-25-40 Sakura Josui, Tokyo, Japan