Forecasting with the term structure: The role of no-arbitrage restrictions
By G. Duffee. 2011
46 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/bee6362ed9367f96a2aa372212c15923493ac3bd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Anh Le
- Scott Joslin
- Kenneth J. Singleton
- G. Duffee
- Jens H. E. Christensen
- Glenn D. Rudebusch
- J. Wu
- M. Carrasco
Citations in the corpus
- Why Gaussian macro-finance term structure models are (nearly) unconstrained factor-VARs (2011, methodology): “Duffee (2011a), using Monte Carlo methods and focusing on YTSMs, obtains a similarly close correspondence between these two estimates of the risk-factor loadings.”
- Testable Implications of Affine Term Structure Models (2011, unknown): “If m < N, then the model (9) is instantly refuted, because it implies that a regression of any one 2 Duffee (2011a) has also noted the substantial serial correlation of measurement errors. of the yields on m others should have an R 2 of unity.”
- Forecasting Interest Rates with Shifting Endpoints (2012, unknown): “Indeed, Duffee (2011) obtains superior out-of-sample forecasts when a random walk is used for the first principal components of yields (which closely corresponds to the Nelson-Siegel level factor).”