Dynamics of Interest Rate Curve by Functional Auto-Regression
AbstractThe paper uses functional auto-regression to predict the dynamics of interest rate curve. It estimates the auto-regressive operator by extending methods of the reduced-rank auto-regression to the functional data. Such an estimation technique is better suited for prediction purposes as opposed to the methods based either on principal components or canonical correlations. The consistency of the estimator is proved using methods of operator theory. The estimation method is used to analyze dynamics of Eurodollar futures rates. The results suggest that future movements of interest rates are predictable at 1-year horizons.
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Bibliographic InfoPaper provided by EconWPA in its series Macroeconomics with number 0404008.
Length: 22 pages
Date of creation: 07 Apr 2004
Date of revision: 28 Oct 2004
Note: Type of Document - pdf; pages: 22
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functional data analysis; term structure; principal components; canonical correlations; singular value decomposition;
Other versions of this item:
- Alexei Onatski & Slava Kargin, 2004. "Dynamics of Interest Rate Curve by Functional Auto-regression," Econometric Society 2004 North American Summer Meetings 229, Econometric Society.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
This paper has been announced in the following NEP Reports:
- NEP-ECM-2004-04-12 (Econometrics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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