Print Email Facebook Twitter Describing financial crisis propagation through epidemic modelling on multiplex networks Title Describing financial crisis propagation through epidemic modelling on multiplex networks Author Bozhidarova, Malvina (University of Nottingham) Ball, Frank (University of Nottingham) van Gennip, Y. (TU Delft Mathematical Physics) O’Dea, Reuben D. (University of Nottingham) Stupfler, Gilles (IBS-CHU) Date 2024 Abstract This paper proposes a novel framework for modelling the spread of financial crises in complex networks, combining financial data, Extreme Value Theory and an epidemiological transmission model. We accommodate two key aspects of contagion modelling: fundamentals-based contagion, where the transmission is due to direct financial linkages, and pure contagion, where a crisis might trigger additional crises due to global effects. We use stock price, geographical location and economic sector data for a set of 398 companies to construct multiplex networks of four layers, on which a susceptible-infected-recovered transmission model is defined, in order to model the spread of financial shocks between companies by accounting for their interconnected nature. By utilizing stock price data for the 2008 and 2020 financial crises, we investigate and assess the effectiveness of our model in forecasting the propagation of financial shocks through the network, where a shock is detected by measuring stock price volatility. The results suggest that the proposed framework is effective in predicting the spread of financial crises. Our findings demonstrate the significance of each layer of the multiplex network structure, which differentiates between various transmission pathways, for predicting the number of affected companies, as well as for company-, sector- or location-specific predictions. Subject epidemic modellingfinancial crisismultiplex networkSIR modeltail dependence To reference this document use: http://resolver.tudelft.nl/uuid:58cdc57b-5fcf-4e52-adef-5b08600e4ace DOI https://doi.org/10.1098/rspa.2023.0787 ISSN 1364-5021 Source Royal Society of London. Proceedings A. Mathematical, Physical and Engineering Sciences, 480 (2287) Part of collection Institutional Repository Document type journal article Rights © 2024 Malvina Bozhidarova, Frank Ball, Y. van Gennip, Reuben D. O’Dea, Gilles Stupfler Files PDF bozhidarova-et-al-2024-de ... tworks.pdf 1.57 MB Close viewer /islandora/object/uuid:58cdc57b-5fcf-4e52-adef-5b08600e4ace/datastream/OBJ/view