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Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility / Drew D. Creal, Jing Cynthia Wu.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Creal, Drew D.
Contributor:
National Bureau of Economic Research.
Wu, Jing Cynthia.
Series:
Working Paper Series (National Bureau of Economic Research) no. w20115.
NBER working paper series no. w20115
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2014.
Summary:
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.
Notes:
Print version record
May 2014.

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