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来源类型Working Paper
规范类型报告
DOI10.3386/w20115
来源IDWorking Paper 20115
Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility
Drew D. Creal; Jing Cynthia Wu
发表日期2014-05-15
出版年2014
语种英语
摘要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.
主题Econometrics ; Estimation Methods ; Macroeconomics ; Money and Interest Rates ; Financial Economics ; Portfolio Selection and Asset Pricing
URLhttps://www.nber.org/papers/w20115
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/577793
推荐引用方式
GB/T 7714
Drew D. Creal,Jing Cynthia Wu. Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility. 2014.
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