In this paper we perform the stability analysis of the risk-free equi- librium point which characterizes a financial contagion dynamics. The model is formulated in the Susceptible-Infected-Recovered approach by employing an analogy between economic sectors and ecosystems. The dynamics is nonlinear and characterized by a time delay which repre- sents a period of financial immunity got after risk infection. In addition, contagion phenomenon is modelled by employing a Holling Type II func- tional response taking into account an incubation time for risk infection. The analysis around the risk-free steady state is performed in terms of both local asymptotic stability and global asymptotic stability by clas- sical approach. Our results highlight the crucial role of the incubation time in establishing whether risk crisis can be eliminated from the eco- nomic sector at the long run or it continues to exist in.

A nonlinear dynamics for risk contagion: analyzing the risk-free equilibrium

Ciano, Tiziana
Conceptualization
;
2023-01-01

Abstract

In this paper we perform the stability analysis of the risk-free equi- librium point which characterizes a financial contagion dynamics. The model is formulated in the Susceptible-Infected-Recovered approach by employing an analogy between economic sectors and ecosystems. The dynamics is nonlinear and characterized by a time delay which repre- sents a period of financial immunity got after risk infection. In addition, contagion phenomenon is modelled by employing a Holling Type II func- tional response taking into account an incubation time for risk infection. The analysis around the risk-free steady state is performed in terms of both local asymptotic stability and global asymptotic stability by clas- sical approach. Our results highlight the crucial role of the incubation time in establishing whether risk crisis can be eliminated from the eco- nomic sector at the long run or it continues to exist in.
2023
Risk contagion, Financial immunity, SIR model, Delay Differ- ential equation, Stability analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14087/11608
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