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The Stability of Factor Models of Interest Rates

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  • Francesco Audrino

Abstract

The daily term structure of interest rates is filtered to reduce the influence of cross-correlations and autocorrelations on its factors. A three-factor model is fitted to the filtered data. We perform statistical tests, finding that factor loadings are unstable through time for daily data. This finding is not due to the presence of outliers nor to the selected number of factors. Such an instability problem can be solved when applying the factor analysis on multivariate scaled residuals, filtered using a nonparametric technique based on functional gradient descent. Copyright 2005, Oxford University Press.

Suggested Citation

  • Francesco Audrino, 2005. "The Stability of Factor Models of Interest Rates," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 3(3), pages 422-441.
  • Handle: RePEc:oup:jfinec:v:3:y:2005:i:3:p:422-441
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    File URL: http://hdl.handle.net/10.1093/jjfinec/nbi019
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    Cited by:

    1. Audrino, Francesco & Barone-Adesi, Giovanni, 2006. "A dynamic model of expected bond returns: A functional gradient descent approach," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2267-2277, December.
    2. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2007. "Modelling and Testing for Structural Changes in Panel Cointegration Models with Common and Idiosyncratic Stochastic Trend," Center for Policy Research Working Papers 92, Center for Policy Research, Maxwell School, Syracuse University.
    3. Francesco Audrino & Dominik Colagelo, 2007. "Forecasting Implied Volatility Surfaces," University of St. Gallen Department of Economics working paper series 2007 2007-42, Department of Economics, University of St. Gallen.
    4. Oliver Blaskowitz & Helmut Herwartz, 2009. "Adaptive forecasting of the EURIBOR swap term structure," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 575-594.

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