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
Englisch

Erschienen in
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

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Mönch, Emanuel
  • European Central Bank (ECB)

Entstanden

  • 2005

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