Risk contagion among financial players modelled by a SIR model with time delay

We revisit a mathematical approach using epidemiological models to describe risk contagion and propagation among financial players and markets. The link between the financial system and the ecosystem is explained by a SIR model with time delay. We aim to apply this on more complex financial systems, where cryptocurrencies, new participants and traditional financial operators play together. This work represents a starting point for a deep stochastic analysis of the contagion term influence over risk contagion dynamics.