BondBERT: What we learn when assigning sentiment in the bond market

By Toby Barter, Zheng Gao, Eva Christodoulaki, Jing Chen, John Cartlidge

Published 2025-12-08

Everscope rating

1847.4

Relevance to quantitative trading

8 / 10

Implementation complexity

6 / 10

Reproducibility

4 / 5

About this paper

Methodology: Domain-Adaptive Fine-Tuning of Transformer for Bond Sentiment. Problem types: Natural Language Processing, Classification, Time Series Forecasting, Transfer Learning.

arXiv:2511.01869 · Code · Paper rankings

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