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Adaptive Forecasting of the EURIBOR Swap Term Structure Author info | Abstract | Publisher info | Download info | Related research | Statistics Oliver Blaskowitz
Helmut Herwatz
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In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data driven, adaptive model selection strategies based on the PCA/AR model. To evaluate ex-ante forecasting performance for particular rates, different forecast features such as mean squared errors, directional accuracy and big hit ability are considered. It turns out that relative to benchmark models, the adaptive approach offers additional forecast accuracy in terms of directional accuracy and big hit ability.
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Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number
SFB649DP2008-017.
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Length: 29 pages
Date of creation: Apr 2008Date of revision:
Handle: RePEc:hum:wpaper:sfb649dp2008-017Contact details of provider: Postal: Spandauer Str. 1,10178 Berlin Phone: +49-30-2093-5708 Fax: +49-30-2093-5617 Email: Web page: http://sfb649.wiwi.hu-berlin.de More information through EDIRC
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Keywords: Principal components ; ex ante forecasting ; EURIBOR swap rates ; term structure ; directional accuracy ; big hit ability ; Other versions of this item:
Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Determination of Interest Rates; Term Structure of Interest Rates G29 - Financial Economics - - Financial Institutions and Services - - - Other
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