References
- Bodnar, T., & Hautsch, N. (2016). Dynamic conditional correlation multiplicative error processes. Journal of Empirical Finance, 36, 41–67.10.1016/j.jempfin.2015.12.002
- Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327.10.1016/0304-4076(86)90063-1
- Cipollini, F., & Gallo, G. M. (2010). Automated variable selection in vector multiplicative error models. Computational Statistics & Data Analysis, 54(11), 2470–2486.10.1016/j.csda.2009.08.007
- Cipollini, F., Engle, R. F., & Gallo, G. M. (2007). A model for multivariate nonnegative valued processes in financial econometrics (SSRN Working Paper No. wp2007_16). Retrieved from SSRN: https://ssrn.com/abstract=1333869.
- Cipollini, F., Engle, R. F., & Gallo, G. M. (2013). Semiparametric vector MEM. Journal of Applied Econometrics, 28(7), 1067–1086.10.1002/jae.v28.7
- Cipollini, F., Engle, R. F., Giampiero, M., & Gallo, G. M. (2006). Vector multiplicative error models: Representation and inference (NBER Working Paper No. w12690). Retrieved from SSRN: https://ssrn.com/abstract=944175.
- Engle, R. F., & Russell, J. R. (1998). Autoregressive conditional duration: A new model for irregularly spaced transaction data. Econometrica, 66(5), 1127–1162.10.2307/2999632
- Engle, R. F. (2002). New frontiers for arch models. Journal of Applied Econometrics, 17(5), 425–446.10.1002/(ISSN)1099-1255
- Greene, W. H. (2007). Econometric Analysis (6th ed.). New Jersey: Pearson Prentice Hall.
- Lu, W., & Li, J. (2014). Some statistical properties of the vector multiplicative error model. Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, 21(4–5), 207–214.
- Sbrana, G., & Poloni, F. (2013). A closed-form estimator for the multivariate GARCH(1,1) model. Journal of Multivariate Analysis, 120(9), 152–162.10.1016/j.jmva.2013.05.005