Arbeitspapier
Forecasting the yield curve in a data-rich environment: a no-arbitrage factor-augmented VAR approach
This paper suggests a term structure model which parsimoniously exploits a broad macroeconomic information set. The model does not incorporate latent yield curve factors, but instead uses the common components of a large number of macroeconomic variables and the short rate as explanatory factors. Precisely, an affine term structure model with parameter restrictions implied by no-arbitrage is added to a Factor-Augmented Vector Autoregression (FAVAR). The model is found to strongly outperform different benchmark models in out-of-sample yield forecasts, reducing root mean squared forecast errors relative to the random walk up to 50% for short and around 20% for long maturities.
- Sprache
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Englisch
- Erschienen in
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Series: ECB Working Paper ; No. 544
- Klassifikation
-
Wirtschaft
Estimation: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Interest Rates: Determination, Term Structure, and Effects
Financial Markets and the Macroeconomy
Monetary Policy
- Thema
-
Affine term structure models
Dynamic Factor Models
FAVAR
yield curve
Zinsstruktur
Rendite
VAR-Modell
Theorie
USA
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Mönch, Emanuel
- Ereignis
-
Veröffentlichung
- (wer)
-
European Central Bank (ECB)
- (wo)
-
Frankfurt a. M.
- (wann)
-
2005
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Mönch, Emanuel
- European Central Bank (ECB)
Entstanden
- 2005