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Accurate forecasting of zero coupon bond yields for a continuum of maturities is paramount to bond portfolio management and derivative security pricing. Yet a universal model for yield curve forecasting has been elusive, and prior attempts often resulted in a tradeoff between goodness-of-fit and consistency with economic theory. To address this, herein we propose a novel formulation which connects the dynamic factor model (DFM) framework with concepts from functional data analysis: a DFM with functional factor loading curves. This results in a model capable of forecasting functional time series. Further, in the yield curve context we show that the model retains economic interpretation. We show that our model performs very well on forecasting actual yield data compared with existing approaches, especially in regard to profit-based assessment for an innovative trading exercise. We further illustrate the viability of our model to applications outside of yield forecasting.
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Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977), “Maximum Likelihood from Incomplete Data via EM Algorithm,” Journal of the Royal Statistical Society, Series B (Methodological), 39, 1–38.
Fama, E. and Bliss, R. (1987), “The Information in Long-Maturity Forward Rates,” American Economic Review, 77, 680–92.
Hays, S., Shen, H., and Huang, J. Z. (2012b), “Supplement to “Functional Dynamic Factor Models with Application to Yield Curve Forecasting”,” Available online at http://www.unc.edu/~haipeng/publication/FDFMsupplement.pdf.
Judge, G. G. (1985), The Theory and Practice of Econometrics, Wiley: New York.
Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P. (1992), Numerical Recipes in Fortran: The Art of Scientific Computing, Cambridge University Press: New York.
Ramsay, J. O. and Silverman, B. W. (2002), Applied Functional Data Analysis: Methods and Case Studies, Springer-Verlag: New York. CrossRef
Ramsay, J. O. and Silverman, B.W. –(2005), Functional Data Analysis, Springer-Verlag: New York, 2nd ed.
- Applications of Functional Dynamic Factor Models
Jianhua Z. Huang
- Springer New York