Causal Hierarchy in the Financial Market Network—Uncovered by the Helmholtz–Hodge–Kodaira Decomposition [Kausale Hierarchie im Finanzmarktnetzwerk—Enthüllt durch die Helmholtz-Hodge-Kodaira-Zerlegung]

Wand, Tobias; Kamps, Oliver; Iyetomi, Hiroshi

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

Granger causality can uncover the cause-and-effect relationships in financial networks. However, such networks can be convoluted and difficult to interpret, but the Helmholtz–Hodge–Kodaira decomposition can split them into rotational and gradient components which reveal the hierarchy of the Granger causality flow. Using Kenneth French’s business sector return time series, it is revealed that during the COVID crisis, precious metals and pharmaceutical products were causal drivers of the financial network. Moreover, the estimated Granger causality network shows a high connectivity during the crisis, which means that the research presented here can be especially useful for understanding crises in the market better by revealing the dominant drivers of crisis dynamics.

Details zur Publikation

FachzeitschriftEntropy
Jahrgang / Bandnr. / Volume26
Ausgabe / Heftnr. / Issue10
Artikelnummer858
StatusVeröffentlicht
Veröffentlichungsjahr2024
Sprache, in der die Publikation verfasst istEnglisch
DOI10.3390/e26100858
Link zum Volltexthttps://www.mdpi.com/1099-4300/26/10/858
StichwörterCausal Inference; Granger Causality; Finance; Quantitative Finance; Networks; Graphs; Helmholtz-Hodge; Data Science

Autor*innen der Universität Münster

Kamps, Oliver
Center for Nonlinear Science (CeNoS)
Wand, Tobias
Center for Nonlinear Science (CeNoS)