Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility
61 Pages Posted: 15 Aug 2013 Last revised: 9 Apr 2017
Date Written: September 30, 2014
We develop new procedures for maximum likelihood estimation of affine term structure models with spanned or unspanned stochastic volatility. Our approach uses linear regression to reduce the dimension of the numerical optimization problem yet it produces the same estimator as maximizing the likelihood. It improves the numerical behavior of estimation by eliminating parameters from the objective function that cause problems for conventional methods. We find that spanned models capture the cross-section of yields well but not volatility while unspanned models fit volatility at the expense of fitting the cross-section.
Keywords: affine term structure models, unspanned stochastic volatility, estimation
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