On collective non-gaussian dependence patterns in high frequency financial data

Details On collective non-gaussian dependence patterns in high frequency financial data On collective non-gaussian dependence patterns in high frequency financial data

2005-06-08

arxiv.org/abs/physics/0506072v3

Physics

Physics and Society

misprints corrected

Scientific paper

The analysis of observed conditional distributions of both lagged and simultaneous intraday price increments of a basket of stocks reveals phenomena of dependence - induced volatility smile and kurtosis reduction. A model based on multivariate t-Student distribution shows that the observed effects are caused by colelctive non-gaussian dependence properties of financial time series.

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