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来源类型Working Paper
规范类型报告
DOI10.3386/w8956
来源IDWorking Paper 8956
Closed-Form Likelihood Expansions for Multivariate Diffusions
Yacine Ait-Sahalia
发表日期2002-05-23
出版年2002
语种英语
摘要This paper provides closed-form expansions for the transition density and likelihood function of arbitrary multivariate diffusions. The expansions are based on a Hermite series, whose coefficients are calculated explicitly by exploiting the special structure afforded by the diffusion hypothesis. Because the transition function for most diffusion models is not known explicitly, the expansions of this paper can help make maximum-likelihood a practical estimation method for discretely sampled multivariate diffusions. Examples of interest in financial econometrics are included.
主题Econometrics ; Estimation Methods ; Financial Economics ; Portfolio Selection and Asset Pricing
URLhttps://www.nber.org/papers/w8956
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/566564
推荐引用方式
GB/T 7714
Yacine Ait-Sahalia. Closed-Form Likelihood Expansions for Multivariate Diffusions. 2002.
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