Green Finance Research Advances (GFRA) 2025
The Green Finance Research Advances (GFRA) is an international research conference for academics and professionals, co-organised by Banque de France and the Institut Louis Bachelier, with the participation of the Institut de la Finance Durable and the Institute for Climate Economics (I4CE).
The objective of the conference is to bring together academics, finance practitioners and regulators to discuss research issues related to the integration of climate-related, nature-related and transition-related risks into macro-economic modelling/forecasting and into the risk assessment of the financial sector.
The 2025 edition will take place in Paris and online on 16–17 December 2025.
This year’s conference will mark a particularly important milestone, as it will serve as France’s principal academic event commemorating the 10th anniversary of the Paris Agreement, recognised by the UNFCCC as an official event celebrating this milestone.
Programme
Day 1 – 16 December 2025
The conference will open with a high-level policy session featuring keynote speeches and roundtable discussions on the credibility and alignment of financial flows with climate and nature goals, as well as the role of financial institutions in supporting the Paris Agreement objectives.
Day 2 – 17 December 2025
The second day will be dedicated to academic research presentations on topics including:
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Green finance and transition risks
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Climate and nature-related financial disclosures
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Governance mechanisms supporting Paris Agreement implementation
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Advances in climate modelling, data, and sustainable finance analytics
The day will close with the presentation of the Banque de France Prize for Young Researchers.
Lionel Melin’s Presentation
On 17 December 2025, at 2:30pm, Lionel Melin, Associate Researcher, EDHEC Climate Institute (ECI), will present his paper entitled “Climate Scenarios with Probabilities via Maximum Entropy and Indirect Elicitation”, co-authored with Riccardo Rebonato, Senior Advisor (ECI) and Fangyuan Zhang, Senior Research Engineer (ECI)
His paper proposes an innovative approach to generating probabilistic climate scenarios through maximum entropy and indirect elicitation methods, offering new insights into how uncertainty in climate projections can be integrated into financial and macroeconomic models. This work contributes to the development of more robust frameworks for incorporating climate risks into economic analysis and decision-making processes.
To register, please visit the dedicated registration page.
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