Abstract
The article presents a one-factor affine model of the term structure of LIBOR with autocorrelated measurement errors. It can be viewed as a central tendency model; the theoretical arbitrage-free rates serve as stochastic means to which the observed rates revert. Two estimation techniques are compared, one based on a no measurement error assumption, the other on Kalman filtering. The estimates are then used in standard yield spread regressions with a view to accounting for the departure of future short rates from what the expectations hypothesis would predict.
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