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Cited by 1,577

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Term Premia and Interest Rate Forecasts in Affine Models

Open access
Duffee, Gregory R.·2002·The Journal of Finance

Abstract

The standard class of affine models produces poor forecasts of future Treasury yields. Better forecasts are generated by assuming that yields follow random walks. The failure of these models is driven by one of their key features: Compensation for risk is a multiple of the variance of the risk. Thus risk compensation cannot vary independently of interest rate volatility. I also describe a broader class of models. These aessentially affine‐ models retain the tractability of standard models, but allow compensation for interest rate risk to vary independently of interest rate volatility. This additional flexibility proves useful in forecasting future yields.

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Metadata

Authors
Duffee, G. R.
Venue
The Journal of Finance
Publisher
Wiley
Published
2002-02
Volume
57
Issue
1
Pages
405-443
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W2159723913
Cited by
1,577
References
1
FWCI
84.70
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Term Premia and Interest Rate Forecasts in Affine Models. https://app.cochat.ai/papers/10.1111/1540-6261.00426
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Duffee, G. R. (2002). Term Premia and Interest Rate Forecasts in Affine Models. The Journal of Finance. https://doi.org/10.1111/1540-6261.00426

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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.