Research paper / RESOURCE PROFILE

BondBERT: Assigning Sentiment in the Bond Market

Domain-adapted language model for sentiment extraction from bond-market text.

AI Trading & Research
arxiv.orgPublished Oct 21, 2025
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Screenshot unavailableResource information and source links remain available. BondBERT: Assigning Sentiment in the Bond Market — reviewed source website screenshot
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Overview

Domain-adapted language model for sentiment extraction from bond-market text.

Topics & capabilities

sentimentpaperfixed-income

Publication information

Publication title
BondBERT: What we learn when assigning sentiment in the bond market
Authors
Toby Barter, Zheng Gao, Eva Christodoulaki, Jing Chen, John Cartlidge
Published
Oct 21, 2025
Last publication revision
Dec 8, 2025
Venue / journal
18th International Conference on Agents and Artificial Intelligence (ICAART), Volume 5, Mar. 2026, pp. 4056-4063
Subject areas
q-fin.CP, cs.LG
DOI
10.5220/0014251100004052 ↗
Publication source
arxiv.org · abs/2511.01869v2 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2511.01869 ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

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