Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility

Drew Creal and Jing Cynthia Wu

No 20115, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: 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.

JEL-codes: C13 E43 G12 (search for similar items in EconPapers)
Date: 2014-05
New Economics Papers: this item is included in nep-ecm, nep-mac and nep-ore
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Published as Creal, Drew D. & Wu, Jing Cynthia, 2015. "Estimation of affine term structure models with spanned or unspanned stochastic volatility," Journal of Econometrics, Elsevier, vol. 185(1), pages 60-81.

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Journal Article: Estimation of affine term structure models with spanned or unspanned stochastic volatility (2015)
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