arXiv Analytics

Sign in

arXiv:cond-mat/0104369AbstractReferencesReviewsResources

Levels of complexity in financial markets

Giovanni Bonanno, Fabrizio Lillo, Rosario N. Mantegna

Published 2001-04-19Version 1

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.

Comments: 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
Related articles: Most relevant | Search more
arXiv:cond-mat/0007385 (Published 2000-07-25)
Scaling and Multi-scaling in Financial Markets
arXiv:cond-mat/0210509 (Published 2002-10-23)
Endogenous versus Exogenous Crashes in Financial Markets
arXiv:cond-mat/0303099 (Published 2003-03-06, updated 2003-10-24)
Wavelet Correlation Coefficient of 'strongly correlated' financial time series