Machine Learning methods in climate finance: a systematic review
"Considering the proliferation of articles in this field, and the potential for the use of ML, we propose a review of the academic...
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Rechercher
21 oct. 2022
Fat Tails and Asymmetric Time Horizons: Dealing With Systemic Climate-Related Uncertainty
"Even pioneering forward-looking stress tests cannot feasibly capture all possible tail risks. We propose supplementing the existing...
9 sept. 2022
Climate risk, sustainable finance and international business: a research agenda
"... since 2015 investors have increased their visibility through their climate pledges and ESG performance. However, they have mostly...
18 août 2022
Scope 3 Emissions: Data Quality and Machine Learning Prediction Accuracy
"We conclude that users of the Scope 3 emission datasets should consider data source, quality and prediction errors when using data from...
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