Thieu, Le Quyen (2016): Equation by equation estimation of the semi-diagonal BEKK model with covariates.
Preview |
PDF
MPRA_paper_75582.pdf Download (831kB) | Preview |
Abstract
This paper provide the asymptotic normality of the Equation by Equation estimator for the semi-diagonal BEKK models augmented by the exogenous variables. The results are obtained without assuming that the innovations are independent, which allows investigate different additional explanatory variables into the information set.
Item Type: | MPRA Paper |
---|---|
Original Title: | Equation by equation estimation of the semi-diagonal BEKK model with covariates |
English Title: | Equation by equation estimation of the semi-diagonal BEKK model with covariates |
Language: | English |
Keywords: | BEKK-X, Equation by equation estimation, exogenous variables, covariates, semi-diagonal BEKK-X |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C10 - General |
Item ID: | 75582 |
Depositing User: | Mrs Le Quyen Thieu |
Date Deposited: | 14 Dec 2016 16:44 |
Last Modified: | 01 Oct 2019 02:22 |
References: | Bollerslev, T.(1990) Modelling the coherence in short-run nominal exchange rates: a multivariate generalized ARCH model.The review of economics and statistics, 495-505. Bollerslev, T. and J.M. Wooldridge (1992) Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances. Econometric reviews 11, 143-172. Boussama, F., F. Fuchs and R. Stelzer (2011) Stationarity and geometric ergodicity of BEKK multivariate GARCH models. Stochastic Processes and their Applications 121, 2331-2360. Comte, F. and O. Lieberman (2003) Asymptotic theory for multivariate GARCH processes. Journal of Multivariate Analysis 84, 61-84. Engle, R.F., V.K. Ng and K.F. Kroner (1990) Asset pricing with a factor-ARCH covariance structure: Empirical estimates for treasury bills. Journal of Econometrics 45, 213-237. Engle, R.F. and K.F. Kroner (1995) Multivariate simultaneous generalized ARCH. Econometric theory 11, 122-150. Engle, R.F. and Sheppar, K. (2001) Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH. National Bureau of Economic Research. Engle, R.F. (2002) Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics 20, 339-350. Engle, R. (2009) Anticipating correlations: a new paradigm for risk management. Princeton University Press. Francq, C. and J-M. Zakoïan (1998) Estimating linear representations of nonlinear processes. Journal of Statistical Planning and Inference 68, 145-165. Francq, C. and J-M. Zakoïan (2000) Covariance matrix estimation for estimators of mixing weak ARMA models. Journal of Statistical Planning and Inference 83, 369- 394. Francq, C. and J-M. Zakoïan (2010) GARCH Models: Structure, Statistical Inference and Financial Applications. John Wiley. Francq, C. and Thieu, L.Q. (2015) Qml inference for volatility models with covariates. University Library of Munich, Germany , No. 63198. Francq, C. and G. Sucarrat (2016) Equation-by-Equation Estimation of a Multivariate Log-GARCH-X Model of Financial Returns. Journal of the Royal Statistical Society: Series B 78, 613-635, http://onlinelibrary.wiley.com/doi/10.1111/ rssb.12126/epdf Hafner, C.M. and A. Preminger (2009) On asymptotic theory for multivariate GARCH models. Journal of Multivariate Analysis 100, 2044-2054. Han, H. and D. Kristensen (2014) Asymptotic Theory for the QMLE in GARCH-X Models With Stationary and Nonstationary Covariates. Journal of Business & Economic Statistics 32, 416-429. Herrndorf, N. (1984) A functional central limit theorem for weakly dependent sequences of random variables. The Annals of Probability, 141-153. Pedersen, R.S. and A. Rahbek (2014) Multivariate variance targeting in the BEKK-GARCH model. The Econometrics Journal 17, 24-55. Phillips, P.C.B., Y. Sun and S. Jin (2003) Consistent HAC estimation and robust regression testing using sharp origin kernels with no truncation. Discussion paper, Yale University. Shephard, N. and Sheppard, K. (2010) Realizing the future: forecasting with high frequency based volatility (HEAVY) models. Journal of Applied Econometrics 25, 197-231. Silvennoinen, A. and T. Teräsvirta (2009) Modeling multivariate autoregressive conditional heteroskedasticity with the double smooth transition conditional correlation GARCH model. Journal of Financial Econometrics 7, 373-411. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/75582 |