Financial interaction networks inferred from traded volumes
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- Mantegna,Rosario N. & Stanley,H. Eugene, 2007.
"Introduction to Econophysics,"
Cambridge Books,
Cambridge University Press, number 9780521039871, October.
- Mantegna,Rosario N. & Stanley,H. Eugene, 1999. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521620086, September.
- Thomas Bury, 2012. "Statistical pairwise interaction model of stock market," Papers 1206.4420, arXiv.org, revised Jan 2014.
- Elad Schneidman & Michael J. Berry & Ronen Segev & William Bialek, 2006. "Weak pairwise correlations imply strongly correlated network states in a neural population," Nature, Nature, vol. 440(7087), pages 1007-1012, April.
- Iacopo Mastromatteo & Matteo Marsili, 2011. "On the criticality of inferred models," Papers 1102.1624, arXiv.org, revised Sep 2011.
- Christoly Biely & Stefan Thurner, 2008.
"Random matrix ensembles of time-lagged correlation matrices: derivation of eigenvalue spectra and analysis of financial time-series,"
Quantitative Finance, Taylor & Francis Journals, vol. 8(7), pages 705-722.
- Christoly Biely & Stefan Thurner, 2006. "Random matrix ensembles of time-lagged correlation matrices: Derivation of eigenvalue spectra and analysis of financial time-series," Papers physics/0609053, arXiv.org.
- L. Kullmann & J. Kertesz & K. Kaski, 2002. "Time dependent cross correlations between different stock returns: A directed network of influence," Papers cond-mat/0203256, arXiv.org, revised May 2002.
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This paper has been announced in the following NEP Reports:- NEP-NET-2013-11-22 (Network Economics)
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