The Effects of the Content of FOMC Communications on US Treasury Rates

Christopher Rohlfs, Sunandan Chakraborty, Lakshminarayanan Subramanian


Anthology ID:
D16-1226
Volume:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2016
Address:
Austin, Texas
Editors:
Jian Su, Kevin Duh, Xavier Carreras
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2096–2102
Language:
URL:
https://aclanthology.org/D16-1226
DOI:
10.18653/v1/D16-1226
Bibkey:
Cite (ACL):
Christopher Rohlfs, Sunandan Chakraborty, and Lakshminarayanan Subramanian. 2016. The Effects of the Content of FOMC Communications on US Treasury Rates. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 2096–2102, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
The Effects of the Content of FOMC Communications on US Treasury Rates (Rohlfs et al., EMNLP 2016)
Copy Citation:
PDF:
https://aclanthology.org/D16-1226.pdf