2003/01/01 by Jukka‐Pekka Onnela, J. -P. Onnela, A. Chakraborti +7 · 6 citations
Decision Sciences · Economics, Econometrics and Finance · Physics and Astronomy · #Complex Systems and Time Series Analysis #Economic theories and models #Stock Market Forecasting Methods #cond-mat.stat-mech #physics.soc-ph
paper · pdf · doi:10.1238/physica.topical.106a00048
published as Physica Scripta T106, 48 (2003) · 8 pages including 10 figures. Uses REVTeX. Submitted for the conference proceedings of "Unconventional Applications of Statistical Physics", Kolkata (2003)
openalex publication_date 2003/01/01 · arxiv created 2003/03/27 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
This paper introduces a new methodology for constructing a network of companies called a dynamic asset graph. This is similar to the dynamic asset tree studied recently, as both are based on correlations between asset returns. However, the new modified methodology does not, in general, lead to a tree but a disconnected graph. The asset tree, due to the minimum spanning tree criterion, is forced to "accept" edge lengths that are far less optimal (longer) than the asset graph, thus resulting in higher overall length for the tree. The same criterion also causes asset trees to be more fragile in structure when measured by the single-step survival ratio. Over longer time periods, in the beginning the asset graph decays more slowly than the asset tree, but in the long run the situation is reversed. The vertex degree distributions indicate that the possible scale free behavior of the asset graph is not as evident as it is in the case of the asset tree.