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7. BOUDT, K., DANIELSSON, J. & LAURENT, S. 2013. Robust forecasting of
dynamic conditional correlation GARCH models. International Journal of
Forecasting. 29(2):244-257.
8. ANDERSEN, T.G., BOLLERSLEV, T. & DIEBOLD, F.X. 2007. Roughing it up:
Including jump components in the measurement. modelling. and
forecasting of return volatility. The review of economics and statistics.
89(4):701-720.
9. CARNERO, M., PENA, D. & RUIZ, E. 2007. Effects of outliers on the
identification and estimation of GARCH models. Journal of time series
analysis. 28(4):471-497.
10. VERHOEVEN, P. 2004. Modelling Outliers and Extreme Observations for
ARMA-GARCH Processes. (In. Econometric Society World Congress 2000
Contributed Papers organised by: Econometric Society.
11. RAZIQ, A., IQBAL, F. AND TALPUR, G.H.. 2017. EFFECTS OF ADDITIVE
OUTLIERS ON ASYMMETRIC GARCH MODELS. Pakistan Journal of
Statistics. 33(1).
12. NGAILO E. Modelling and forecasting using time series GARCH models:
An application of Tanzania inflation rate data. Unpublished Master’s
Thesis). University of Dar es Salaam. 2011.

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