Mathematical finance special issue

 Climate and Nature Risk in Mathematical Finance

Guest Editors:
Andrea Macrina  &  Peter Tankov

The special issue has now been published (Issue 4 in 2026)

The urgency and complexity of the climate crisis call for contributions from many scientific domains. In finance, modelling challenges posed by the environmental transition and by the climate change and nature-related risks call for inter- and transdisciplinary approaches, based on a multitude of data sources  and long-term projections taking into account deep uncertainty. The mathematical finance community, which has developed robust systematic approaches to financial modelling and risk management, is well placed to address these challenges and has already made numerous quantitative contributions to the field of green finance. Mathematical Finance has  dedicated a Special Issue to  Mathematical Finance for Climate and Nature to further emphasise this area of research. 

Papers published in the Special Issue develop and apply novel mathematical and statistical methods to financial and economic problems arising in the field of green finance and meet the editorial standards of Mathematical Finance as detailed in the aims and scope statement of the journal. 

We invited in particular the submission of original research articles on the following topics:
 

• Assessment of climate and nature-related risks and uncertainties in financial systems; climate stress testing.

• Study of transmission channels of physical risks, transition risk and nature-related risks to  asset prices, portfolios and the stability of the financial system. 

• Optimal policies and incentives for environmental transition and adaptation of the economy, from the central planner perspective and in decentralised systems. 

• Optimal design and study of financial and insurance products, including derivative products, for managing climate and nature-related risks and for financing the environmental transition and adaptation. 

• Design and study of transition scenarios; quantification of scenario uncertainty 

• Net zero investment: quantitative methodologies for constructing net-zero-aligned portfolios and portfolios with positive impact on nature and biodiversity. 

• Study of innovative datasets and numerical methods, including AI-based methods, in support of the above topics. 

• Design of medium and long-term risk management methods accounting for potential policy changes and systemic alterations of market structures and stability. 

• Impact of climate and nature risks on emerging markets and developing economies.