A Test for Time-Varying Smooth Transition Conditional Covariance Models in Multivariate Time Series

References

Almeida, D. de, L. K. Hotta, and E. Ruiz. 2018. “MGARCH Models: Trade-Off between Feasibility and Flexibility.” International Journal of Forecasting 34 (1): 45–63. https://doi.org/10.1016/j.ijforecast.2017.08.003.Suche in Google Scholar

Amado, C., A. Silvennoinen, and T. Teräsvirta. 2019. “Models with Multiplicative Decomposition of Conditional Variances and Correlations.” In Financial Mathematics, Volatility and Covariance Modelling, 217–60. London: Routledge.10.4324/9781315162737-10Suche in Google Scholar

Amado, C., and T. Teräsvirta. 2013. “Modelling Volatility by Variance Decomposition.” Journal of Econometrics 175 (2): 142–53. https://doi.org/10.1016/j.jeconom.2013.03.006.Suche in Google Scholar

Barndorff-Nielsen, O. E., P. R. Hansen, A. Lunde, and N. Shephard. 2011. “Multivariate Realised Kernels: Consistent Positive Semi-definite Estimators of the Covariation of Equity Prices with Noise and Non-synchronous Trading.” Journal of Econometrics 162 (2): 149–69. https://doi.org/10.1016/j.jeconom.2010.07.009.Suche in Google Scholar

Bauwens, L., S. Laurent, and J. Rombouts. 2006. “Multivariate GARCH Models: A Survey.” Journal of Applied Econometrics 21: 79–109. https://doi.org/10.1002/jae.842.Suche in Google Scholar

Boudt, K., J. Danielsson, and S. Laurent. 2013. “Robust Forecasting of Dynamic Conditional Correlation GARCH Models.” International Journal of Forecasting 29 (2): 244–57. https://doi.org/10.1016/j.ijforecast.2012.06.003.Suche in Google Scholar

Boudt, K., A. Galanos, S. Payseur, and E. Zivot. 2019. “Multivariate GARCH Models for Large-Scale Applications: A Survey.” In Handbook of Statistics, Vol. 41, 193–242. Elsevier. https://doi.org/10.1016/bs.host.2019.01.001.Suche in Google Scholar

Campos-Martins, S., and C. Amado. 2021. “Modelling Time-Varying Volatility Interactions.” Working Paper, SSRN: https://ssrn.com/abstract=4573593.Suche in Google Scholar

Caporin, M., and M. McAleer. 2008. “Scalar BEKK and Indirect DCC.” Journal of Forecasting 27 (6): 537–49. https://doi.org/10.1002/for.1074.Suche in Google Scholar

Caporin, M., and M. McAleer. 2012. “Do We Really Need Both BEKK and DCC? A Tale of Two Multivariate GARCH Models.” Journal of Economic Surveys 26 (4): 736–51. https://doi.org/10.1111/j.1467-6419.2011.00683.x.Suche in Google Scholar

Chang, C.-L., C.-P. Liu, and M. McAleer. 2019. “Volatility Spillovers for Spot, Futures, and ETF Prices in Agriculture and Energy.” Energy Economics 81: 779–92. https://doi.org/10.1016/j.eneco.2019.04.017.Suche in Google Scholar

Chen, B., and Y. Hong. 2016. “Detecting for Smooth Structural Changes in GARCH Models.” Econometric Theory 32 (3): 740–91. https://doi.org/10.1017/s0266466614000942.Suche in Google Scholar

Christoffersen, P., V. Errunza, K. Jacobs, and X. Jin. 2014. “Correlation Dynamics and International Diversification Benefits.” International Journal of Forecasting 30 (3): 807–24. https://doi.org/10.1016/j.ijforecast.2014.01.001.Suche in Google Scholar

Comte, F., and O. Lieberman. 2003. “Asymptotic Theory for Multivariate GARCH Processes.” Journal of Multivariate Analysis 84: 61–84. https://doi.org/10.1016/s0047-259x(02)00009-x.Suche in Google Scholar

Ding, Z., and R. Engle. 2001. “Large Scale Conditional Covariance Matrix Modeling, Estimation and Testing.” Working Paper FIN-01-029, NYU Stern School of Business.Suche in Google Scholar

Engle, R. 2002. “Dynamic Conditional Correlation – a Simple Class of Multivariate GARCH Models.” Journal of Business & Economic Statistics 20: 339–50. https://doi.org/10.1198/073500102288618487.Suche in Google Scholar

Engle, R., and F. Kroner. 1995. “Multivariate Simultaneous Generalized ARCH.” Econometric Theory 11: 122–50. https://doi.org/10.1017/s0266466600009063.Suche in Google Scholar

Gao, J., B. Peng, W. B. Wu, and Y. Yan. 2024. “Time-varying Multivariate Causal Processes.” Journal of Econometrics 240 (1): 105671. https://doi.org/10.1016/j.jeconom.2024.105671.Suche in Google Scholar

Hafner, C., and A. Preminger. 2009. “On Asymptotic Theory for Multivariate GARCH Models.” Journal of Multivariate Analysis 100 (9): 2044–54. https://doi.org/10.1016/j.jmva.2009.03.011.Suche in Google Scholar

Hall, A. D., A. Silvennoinen, and T. Teräsvirta. 2023. “Building Multivariate Time-Varying Smooth Transition Correlation GARCH Models, with an Application to the Four Largest Australian Banks.” Econometrics 11 (1). https://doi.org/10.3390/econometrics11010005.Suche in Google Scholar

Lee, T.-H., and X. Long. 2009. “Copula-based Multivariate GARCH Model with Uncorrelated Dependent Errors.” Journal of Econometrics 150 (2): 207–18. https://doi.org/10.1016/j.jeconom.2008.12.008.Suche in Google Scholar

Luukkonen, R., P. Saikkonen, and T. Teräsvirta. 1988. “Testing Linearity against Smooth Transition Autoregressive Models.” Biometrika 75 (3): 491–9. https://doi.org/10.1093/biomet/75.3.491.Suche in Google Scholar

Noureldin, D., N. Shephard, and K. Sheppard. 2014. “Multivariate Rotated ARCH Models.” Journal of Econometrics 179 (1): 16–30. https://doi.org/10.1016/j.jeconom.2013.10.003.Suche in Google Scholar

Pakel, C., N. Shephard, K. Sheppard, and R. F. Engle. 2021. “Fitting Vast Dimensional Time-Varying Covariance Models.” Journal of Business & Economic Statistics 39 (3): 652–68. https://doi.org/10.1080/07350015.2020.1713795.Suche in Google Scholar

Pedersen, R. S., and A. Rahbek. 2014. “Multivariate Variance Targeting in the BEKK-GARCH Model.” The Econometrics Journal 17 (1): 24–55. https://doi.org/10.1111/ectj.12019.Suche in Google Scholar

Péguin-Feissolle, A., and B. Sanhaji. 2016. “Tests of the Constancy of Conditional Correlations of Unknown Functional Form in Multivariate GARCH Models.” Annals of Economics and Statistics 123/124: 77–101. https://doi.org/10.15609/annaeconstat2009.123-124.0077.Suche in Google Scholar

Phillips, P. C., D. Li, and J. Gao. 2017. “Estimating Smooth Structural Change in Cointegration Models.” Journal of Econometrics 196 (1): 180–95. https://doi.org/10.1016/j.jeconom.2016.09.013.Suche in Google Scholar

Sanhaji, B. 2017. “Testing for Nonlinearity in Conditional Covariances.” Journal of Time Series Econometrics 9 (2): 20160010. https://doi.org/10.1515/jtse-2016-0010.Suche in Google Scholar

Silvennoinen, A., and T. Teräsvirta. 2009a. “Modeling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH Model.” Journal of Financial Econometrics 7 (4): 373–411. https://doi.org/10.1093/jjfinec/nbp013.Suche in Google Scholar

Silvennoinen, A., and T. Teräsvirta. 2009b. “Multivariate GARCH Models.” In Handbook of Financial Time Series, 201–29. Springer.10.1007/978-3-540-71297-8_9Suche in Google Scholar

Silvennoinen, A., and T. Teräsvirta. 2015. “Modeling Conditional Correlations of Asset Returns: A Smooth Transition Approach.” Econometric Reviews 34 (1–2): 174–97. https://doi.org/10.1080/07474938.2014.945336.Suche in Google Scholar