2026-04-17T17:20:55Zhttps://recercat.cat/oai/requestoai:recercat.cat:2445/2247562026-04-07T21:33:42Zcom_2072_1057col_2072_478811col_2072_478917
RECERCAT
author
Cortés Rufé, Marc
author
Yu, Yihao
author
Marti Pidelaserra, Jordi
2025-12-09T13:00:40Z2025-12-09T13:00:40Z2025-12-012025-12-09T13:00:41Z
The global push for electrification and decarbonization has sharply increased demand for critical raw materials—especially lithium and copper—heightening financial and strategic pressures on firms that lead these supply chains. Yet, the systemic financial risks arising from inter-firm interdependencies in this sector remain largely unexplored. This article presents a novel distance-based network framework to analyze systemic risk among the world’s top 15 lithium and copper producers (2020–2024). Firms are represented through standardized vectors of profitability and risk indicators (liquidity–solvency), from which we construct a two-layer similarity network using Euclidean distances. (...)
cc-by (c) Cortés Rufé, Marc et al., 2025 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess
Teoria de grafs
Liquiditat (Economia)
Avaluació del risc
Coure
Graph theory
Liquidity (Economics)
Risk assessment
Copper
Systemic Risk in the Lithium and Copper Value Chains: A Network-Based Analysis Using Euclidean Distance and Graph Theory
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion