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arXiv:2609.03782physics.soc-ph

ESRIcascade.jl: A Julia package for fast computation of the Economic Systemic Risk Index

Mitja Devetak, Peter Klimek

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Abstract

This work presents ESRIcascade.jl, a Julia package for computing the Economic Systemic Risk Index (ESRI). The package combines computational efficiency with a documented interface designed for research workflows. Our benchmarks show that ESRIcascade.jl is from 140 to 300 times faster than existing implementations. For a realistically sized synthetic economy, this reduces computational time from 16 hours to 7 minutes. By reducing computation times, ESRIcascade.jl makes repeated analyses of larger production networks practical and feasible and may enable broader use of ESRI in empirical and methodological research. The package and its documentation are freely available at https://github.com/Devetak/ESRIcascade.jl under the MIT License.

arXiv comments
Code avaiable at https://github.com/Devetak/ESRIcascade.jl
Journal reference
DOI
Subjects
physics.soc-phPhysics and Society

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