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The European Physical Journal BISSN: 1434-6028 (printed version) Abstract Volume 2 Issue 2 (1998) pp 277-282 "Direct" causal cascade in the stock market
A. Arnéodo (1), J.-F. Muzy (1), D. Sornette (2)(3) (a)
(1) Centre de Recherche Paul Pascal (CNRS UPR 8641), Université de Bordeaux I, avenue Schweitzer, 33600 Pessac, France Received: 9 January 1998 / Received in final form and accepted: 13 January 1998 Abstract: We use wavelets to decompose the volatility (standard deviation) of intraday (S&P500) return data across scales. We show that when investigating two-point correlation functions of the volatility logarithms across different time scales, one reveals the existence of a causal information cascade from large scales (i.e. small frequencies) to fine scales. We quantify and visualize the information flux across scales. We provide a possible interpretation of our findings in terms of market dynamics.
PACS. 02.50.-r Probability theory, stochastic processes, and statistics -05.40.+j Fluctuation phenomena, random processes, and Brownian motion -89.90.+n Other areas of general interest to physicists
(a) e-mail: sornette@naxos.unice.fr Online publication: May 5, 1998 |