Andrea Flori, Politecnico di Milano

Anna Maria Gambaro, Università del Piemonte Orientale

Ioannis Kyriakou, University of London

Duc Khuong Nguyen, EMLV Business School

Climate-related risks threaten financial and economic systems through their effects on supply chains and firm operations. The transition to a low-carbon economy creates substantial uncertainty, particularly regarding timing and pace, destabilizing carbon-intensive sectors and triggering systemic challenges. This necessitates rigorous analytical methods to quantify climate risks and understand their propagation through interconnected economic systems.

Firms face tension between short-term profitability and long-term sustainability when transitioning to low-carbon operations. Supply chain vulnerabilities persist through global production networks where disruptions propagate, and financial markets transmit climate risks via asset prices and liquidity channels. This special issue welcomes operations research contributions using robust optimization, machine learning, and innovative analytical techniques to address how financial institutions and firms manage climate transition risks in portfolios and supply chains.

Appel publié par Annals of Operations Research. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Robust stochastic optimization methods for climate transition risks
• Portfolio optimization and risk-adjusted return modelling under climate policy uncertainty
• Credit and counterparty risk assessment under low-carbon transition scenarios
• Risk-sharing mechanisms and insurance models for climate-related disruptions
• Supply chain risk management in climate transition
• Operational decision-making in emission trading schemes and carbon pricing
• Predictive modelling of carbon stranding risk via supervised learning
• Machine learning and big data analytics for climate risk scenario classification
• Natural language processing applications in climate policy risk analysis
• Bayesian network approaches to modelling climate transition risk propagation
• Agent-based models of climate transition dynamics and systemic effects

Timeline

• December 31, 2026: Submission deadline