Zhu, Ke (2012): A mixed portmanteau test for ARMA-GARCH model by the quasi-maximum exponential likelihood estimation approach.
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This paper investigates the joint limiting distribution of the residual autocorrelation functions and the absolute residual autocorrelation functions of ARMA-GARCH model. This leads a mixed portmanteau test for diagnostic checking of the ARMA-GARCH model fitted by using the quasi-maximum exponential likelihood estimation approach in Zhu and Ling (2011). Simulation studies are carried out to examine our asymptotic theory, and assess the performance of this mixed test and other two portmanteau tests in Li and Li (2008). A real example is given.
|Item Type:||MPRA Paper|
|Original Title:||A mixed portmanteau test for ARMA-GARCH model by the quasi-maximum exponential likelihood estimation approach|
|Keywords:||ARMA-GARCH model; LAD estimator; mixed portmanteau test; model diagnostics; quasi-maximum exponential likelihood estimator|
|Subjects:||C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C10 - General
C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection
|Depositing User:||Ke Zhu|
|Date Deposited:||31. Jul 2012 14:17|
|Last Modified:||12. Sep 2015 14:50|
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