Arbeitspapier
Prediction Bias Correction for Dynamic Term Structure Models
When the yield curve is modelled using an affine factor model, residuals may still contain relevant information and do not adhere to the familiar white noise assumption.This paper proposes a pragmatic way to improve out of sample performance for yield curve forecasting. The proposed adjustment is illustrated via a pseudo out-of-sample forecasting exercise implementing the widely used Dynamic Nelson Siegel model. Large improvement in forecasting performance is achieved throughout the curve for different forecasting horizons. Results are robust to different time periods, as well as to different model specifications.
- Language
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Englisch
- Bibliographic citation
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Series: Tinbergen Institute Discussion Paper ; No. 13-041/III
- Classification
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Wirtschaft
Interest Rates: Determination, Term Structure, and Effects
Money and Interest Rates: Forecasting and Simulation: Models and Applications
Financial Forecasting and Simulation
- Subject
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Yield curve
Nelson Siegel
Time varying loadings
Factor models
Staatspapier
Zinsstruktur
Kapitaleinkommen
Prognose
Theorie
USA
- Event
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Geistige Schöpfung
- (who)
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Raviv, Eran
- Event
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Veröffentlichung
- (who)
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Tinbergen Institute
- (where)
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Amsterdam and Rotterdam
- (when)
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2013
- Handle
- Last update
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10.03.2025, 11:41 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Raviv, Eran
- Tinbergen Institute
Time of origin
- 2013