A new measure of the resilience for networks of funds with applications to socially responsible investments

DOI10.1016/J.PHYSA.2022.126976OpenAlexW4210393500MaRDI QIDQ2669424

Ambrogio Dalò, Rocco Ciciretti, Roy Cerqueti, Marco Nicolosi

Publication date: 9 March 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2022.126976

zbMATH Keywords

complex networkscommunity structureresiliencesocially responsible investmentsESG criteriainvestment funds

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Cites Work

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• TENET: tail-event driven network risk
• Community detection in networks via a spectral heuristic based on the clustering coefficient
• Detecting overlapping communities in networks using the maximal sub-graph and the clustering coefficient
• Better to stay apart: asset commonality, bipartite network centrality, and investment strategies
• The interconnectedness of the economic content in the speeches of the US presidents
• Statistical mechanics of complex networks
• Financial flow of funds networks
• The Structure and Function of Complex Networks

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