Generalized spectral testing for multivariate continuous-time models

被引:5
作者
Chen, Bin [1 ]
Hong, Yongmiao [2 ,3 ,4 ,5 ]
机构
[1] Univ Rochester, Dept Econ, Rochester, NY 14627 USA
[2] Cornell Univ, Dept Econ, Ithaca, NY 14850 USA
[3] Cornell Univ, Dept Stat Sci, Ithaca, NY 14850 USA
[4] Xiamen Univ, Wang Yanan Inst Studies Econ WISE, Xiamen 361005, Peoples R China
[5] Xiamen Univ, MOE Key Lab Econometr, Xiamen 361005, Peoples R China
关键词
Affine jump-diffusion model; Conditional characteristic function; Discrete-time distribution model; Generalized cross-spectrum; Levy processes; Model specification test; Multivariate continuous-time model; STOCHASTIC DIFFERENTIAL-EQUATIONS; MAXIMUM-LIKELIHOOD-ESTIMATION; TERM STRUCTURE; SPECIFICATION; DIFFUSIONS; VOLATILITY; FORECASTS; DYNAMICS; IMPLICIT; GMM;
D O I
10.1016/j.jeconom.2011.06.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
We develop an omnibus specification test for multivariate continuous-time models using the conditional characteristic function, which often has a convenient closed-form or can be accurately approximated for many multivariate continuous-time models in finance and economics. The proposed test fully exploits the information in the joint conditional distribution of underlying economic processes and hence is expected to have good power in a multivariate context. A class of easy-to-interpret diagnostic procedures is supplemented to gauge possible sources of model misspecification. Our tests are also applicable to discrete-time distribution models. Simulation studies show that the tests provide reliable inference in finite samples. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:268 / 293
页数:26
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