 Similarity-based heterogeneity and cohesiveness of networked companies issuing minibondsRoy Cerqueti, Catherine Deffains-Crapsky and Saverio Storani Chaos, Solitons & Fractals, 2022, vol. 164, issue C Abstract: This paper adopts a complex network approach for discussing the level of heterogeneity and cohesiveness among firms that have used a particular financial instrument — the so-called minibond. The nodes of the networks represent firms, and the weight of a link is assumed to be increasing with the similarity of the corresponding nodes/firms — where similarity is intended in terms of specific economic-financial characteristics of the firms. We assess the level of heterogeneity through the strength degree and the level of cohesiveness through the clustering coefficient. The empirical experiments are based on the paradigmatic case of the Italian reality, where minibonds have been and are currently efficiently used. The analysis reveals regularities and discrepancies among firms’ financial characteristics. Furthermore, the results suggest the potential identification of the main determinants of minibonds issuance. Keywords: Complex networks; Minibonds; Centrality measures; Heterogeneity; Cohesiveness (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:164:y:2022:i:c:s0960077922008335 DOI: 10.1016/j.chaos.2022.112654 Access Statistics for this article Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros More articles in Chaos, Solitons & Fractals from Elsevier |
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