Emmanuel Hauptmann

According to our database1, Emmanuel Hauptmann authored at least 2 papers between 2020 and 2024.

Collaborative distances:
  • no known Dijkstra number2.
  • no known Erdős number3.

Timeline

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Bibliography

2024
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2020
ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction.
CoRR, 2020


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