• Media type: E-Book
  • Title: Forecasting the Yield Curve in a Data-Rich Environment : A No-Arbitrage Factor-Augmented VAR Approach
  • Contributor: Moench, Emanuel [Author]
  • imprint: [S.l.]: SSRN, [2006]
  • Published in: EFA 2005 Moscow Meetings
  • Extent: 1 Online-Ressource (41 p)
  • Language: Not determined
  • DOI: 10.2139/ssrn.676909
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 2006 erstellt
  • Description: 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
  • Access State: Open Access