Covers: theory of ML in Climate Change Finance
Estimated time needed to finish: 10 minutes
Questions this item addresses:
  • How do climate risks impact companies' credit?
How to use this item?

Read the "Abstract," "Introduction," "Empirical Results," and "Conclusion."

Author(s) / creator(s) / reference(s)
Pierre Monnin
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An Introduction to ML in Climate Change-Related Finance

Contributors
Total time needed: ~2 hours
Objectives
Provide an introduction to using natural language processing and other methods for climate-related financial problems
Potential Use Cases
Creating a question-answering system for sustainability disclosures
Who is This For ?
BEGINNERESG analysts or data scientists interested in finance and climate change
Click on each of the following annotated items to see details.
PAPER 1. Integrating Climate Risks into Credit Risk Assessment - Current Methodologies and the Case of Central Banks Corporate Bond Purchases
  • How do climate risks impact companies' credit?
10 minutes
PAPER 2. FinBERT: A Pretrained Language Model for Financial Communications
  • How to finetune BERT for financial applications?
20 minutes
PAPER 3. Using Natural Language Processing to Analyze Financial Climate Disclosures
  • How to use word embedding and cosine similarity to analyze climate change disclosures?
20 minutes
PAPER 4. Analyzing Sustainability Reports Using Natural Language Processing
  • How to create question-answering system for sustainability reports?
20 minutes
OTHER 5. CDP Technical Note on the TCFD
  • How should companies prepare for climate change?
5 minutes
OTHER 6. Sustainability Disclosure Database
  • How do I find sustainability disclosures for companies?
5 minutes

Concepts Covered

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