Cliometrics of world stock markets evolving networks

Bastidon, Cécile; Parent, Antoine

doi:10.1007/s10479-022-04564-z

Cited by 5 publications

(3 citation statements)

References 52 publications

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“…In this context, the research actions funded by the European Union represent a relevant, high-quality instance for a clear view of such scientific interrelations and their evolution over time(Bastidon & Parent, 2022 ; Cerqueti et al, 2022 ; Cinelli et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

“…Complex networks tools can be significant in revealing complex systems’ underlying structure and organization, which can be evaluated with quantitative measures. This explains the popularity of complex networks for modelling purposes in contexts like social network(Borgatti & Everett, 2006 ; Scott & Carrington, 2011 ), but also significantly in finance(Bastidon & Parent, 2022 ; Boginski et al, 2006 ; Cerqueti et al, 2021 , 2022 ; Cinelli et al, 2021 ; Yan & Qi, 2021 ; Zhu et al, 2018 ), or healthcare and physiology (Butenko & Wilhelm, 2006 ; Vieira et al, 2010 ) and even for the understanding of the historical patterns (Pablo-Martí et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

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Clustering networked funded European research activities through rank-size laws

2023

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This paper treats a well-established public evaluation problem, which is the analysis of the funded research projects. We specifically deal with the collection of the research actions funded by the European Union over the 7th Framework Programme for Research and Technological Development and Horizon 2020. The reference period is 2007–2020. The study is developed through three methodological steps. First, we consider the networked scientific institutions by stating a link between two organizations when they are partners in the same funded project. In doing so, we build yearly complex networks. We compute four nodal centrality measures with relevant, informative content for each of them. Second, we implement a rank-size procedure on each network and each centrality measure by testing four meaningful classes of parametric curves to fit the ranked data. At the end of such a step, we derive the best fit curve and the calibrated parameters. Third, we perform a clustering procedure based on the best-fit curves of the ranked data for identifying regularities and deviations among years of research and scientific institutions. The joint employment of the three methodological approaches allows a clear view of the research activity in Europe in recent years.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Clustering networked funded European research activities through rank-size laws

2023

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“…Other work carried out within the framework of CAC by economists is largely inspired by Complexity methods, and in particular the comparative dynamics of sub-graphs within global economic and financial networks. These methods are applied to the long dynamics of financial integration [4]; to the characterisation in terms of graphs of path dependence [5], convergence [6], and the impact of regulatory shocks [7]; and more recently, to macroeconomic dynamics during a pandemic [8].…”

Section: Introductionmentioning

confidence: 99%

The Contours of a Cliophysics. How Can Econophysics Enrich Cliometrics? Case Studies in Debt Issues and Global Capital Markets

et al. 2022

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In this article we illustrate what the contours of “Cliophysics” are. The term was coined by the “Cliometrics and Complexity” (CAC) team, composed of economists and physicists, and hosted by the Complex Systems Institute of ENS Lyon (IXXI). Cliophysics consists in the application of methodological tools from Complexity and Econophysics to the field of Economic history. More precisely, this new scientific challenge aims at combining Cliometrics, i.e. the application of economic modelling and econometrics to the field of Economic history, together with Complexity analysis and Econophysics. In this article, we highlight how using statistical signal processing, topological analysis and network analysis can enrich Cliometrics. To that end, we present three case studies taken from the research agenda developed within the CAC Team: 1) An original research in Cliophysics involving coïncidence analysis based on symbolic time series, aiming to revisit the classical standards of the link between public debt and economic growth in Economic history; 2) An approach in Cliophysics involving topological representations of asset markets networks, aiming to detect homogeneous eras of international monetary regimes; 3) An approach in Cliophysics involving the segmentation of multivariate time series derived from assets returns, aiming to allow for the identification of the structural breaks in the history of global capital markets. We provide evidence that Cliophysics 1) reveals new stylized facts in Economic history, 2) unveils key moments in the history of capital flows, different from the conventional view, and 3) fills a gap in historical analysis, by focusing on “structure matters in Economic history”.

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