The Chaos of Climate Ambitions: Climate Policy Uncertainty and the Volatility Risk in Commodity Markets

This is the authors' abstract. We don't add key points for this paper.

Using a novel news‐based climate policy uncertainty (GCPU) index, we empirically investigate its impact on commodity market volatility risk. Our findings reveal the implicit cost of policy chaos, showing that GCPU significantly amplifies commodity futures volatility, especially following major climate policy events. Channel analyses indicate that GCPU affects volatility through mechanisms such as inventory scarcity, speculative activity, and shifts in investor attention. Furthermore, employing the network connectedness framework, we trace the dynamic risk spillovers of GCPU. We find that while systemic spillovers moderate over time, pronounced heterogeneity remains across sectors and contracts: agriculture and metals display persistently higher exposure, whereas the muted aggregate effect for energy is due to offsetting dynamics at the futures level. Taken together, these results reconcile regression evidence with spillover analysis and offer important implications for risk management.