Levels of complexity in financial markets
arXiv:cond-mat/0104369 · doi:10.1016/S0378-4371(01)00279-5
Abstract
We consider different levels of complexity which are observed in the empirical investigation of financial time series. We discuss recent empirical and theoretical work showing that statistical properties of financial time series are rather complex under several ways. Specifically, they are complex with respect to their (i) temporal and (ii) ensemble properties. Moreover, the ensemble return properties show a behavior which is specific to the nature of the trading day reflecting if it is a normal or an extreme trading day.
14 pages, 5 figures, to appear on Physica A, Proceedings of the NATO Advanced Research Workshop on Application of Physics in Economic Modeling, Prague February 8-10 2001
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