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Cited by 303

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

The Signaling Channel for Federal Reserve Bond Purchases

Open access
Federal Reserve Bank of San Francisco, Bauer, Michael D., Rudebusch, Glenn D., Federal Reserve Bank of San Francisco·2013·Federal Reserve Bank of San Francisco, Working Paper Series

Abstract

Previous research has emphasized the portfolio balance effects of Federal Reserve bond purchases, in which a reduced bond supply lowers term premia. In contrast, we find that such purchases have important signaling effects that lower expected future short-term interest rates. Our evidence comes from a model-free analysis and from dynamic term structure models that decompose declines in yields following Fed announcements into changes in risk premia and expected short rates. To overcome problems in measuring term premia, we consider bias-corrected model estimation and restricted risk price estimation. In comparison with other studies, our estimates of signaling effects are larger in magnitude and statistical significance.

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Crossref · 10.24148/wp2011-21

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Metadata

Authors
Francisco, F. R. B. O. S., Bauer, M. D., Rudebusch, G. D., & Francisco, F. R. B. O. S.
Venue
Federal Reserve Bank of San Francisco, Working Paper Series
Published
2013-04-01
Pages
1-48
OpenAlex
W3125249465
Cited by
303
References
37
FWCI
75.56
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Signaling Channel for Federal Reserve Bond Purchases. https://app.cochat.ai/papers/10.24148/wp2011-21
The paper
Francisco, F. R. B. O. S., Bauer, M. D., Rudebusch, G. D., & Francisco, F. R. B. O. S. (2013). The Signaling Channel for Federal Reserve Bond Purchases. Federal Reserve Bank of San Francisco, Working Paper Series. https://doi.org/10.24148/wp2011-21

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.