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Applications of physical methods in high-frequency futures markets

Bartolozzi, M; Mellen, C; Chan, F; Oliver, D; Di Matteo, Tiziana; Aste, Tomaso

Description

In the present work we demonstrate the application of different physical methods to high-frequency or tick-by-tick financial time series data. In particular, we calculate the Hurst exponent and inverse statistics for the price time series taken from a range of futures indices. Additionally, we show that in a limit order book the relaxation times of an imbalanced book state with more demand or supply can be described by stretched exponential laws analogous to those seen in many physical systems.

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
URI: http://hdl.handle.net/1885/50219
Source: Complex Systems II (Proceedings of SPIE Vol. 6802 )
DOI: 10.1117/12.758431

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