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Autor
Amado Cristina (University of Minho, Braga, Portugalia; CREATES, Aarhus University), Silvennoinen Annastiina (School of Economics and Finance, Queensland University of Technology, Brisbane), Teräsvirta Timo (CREATES, Aarhus University; C.A.S.E., Humboldt-Universität zu Berlin)
Tytuł
Modelling and Forecasting WIG20 Daily Returns
Źródło
Central European Journal of Economic Modelling and Econometrics (CEJEME), 2017, vol. 9, nr 3, s. 173-200, rys., tab., appendix, bibliogr. 35 poz.
Słowa kluczowe
Model GARCH, Indeks giełdowy, Procesy zmienności stochastycznej
GARCH model, Stock market indexes, Stochastic Volatility Processes
Uwagi
summ.; Klasyfikacja JEL: C32, C52, C58
Abstrakt
The purpose of this paper is to model daily returns of the WIG20 index. The idea is to consider a model that explicitly takes changes in the amplitude of the clusters of volatility into account. This variation is modelled by a positive-valued deterministic component. A novelty in specification of the model is that the deterministic component is specified before estimating the multiplicative conditional variance component. The resulting model is subjected to misspecification tests and its forecasting performance is compared with that of commonly applied models of conditional heteroskedasticity. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka Szkoły Głównej Handlowej
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Pełny tekst
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Bibliografia
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Cytowane przez
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ISSN
2080-0886
Język
eng
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