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- W2745533818 abstract "The most successful and popular models in modelling time varying volatility are GARCH type models. However, when financial returns exhibit sudden jumps that are due to structural breaks the GARCH models show high volatility persistence, i.e. integrated behaviour of the conditional variance. In such situations models in which the parameters are allowed to change over time are more appropriate. Gray (1996) proposed an estimation of GARCH switching model with constant transition probabilities of Markov Chain. Later, a modification of Gray’s model was proposed by Klaassen (2002). This paper compares different GARCH models in terms of their ability to describe structural changes in returns caused by financial crisis at Croatian stock market. Fat-tailed conditional distribution of innovations is assumed. Moreover, state dependent degrees of freedom are assumed to model possible time varying kurtosis. The empirical analysis demonstrates that Markov regime switching GARCH model resolves the problem of excessive persistence and outperforms uni-regime GARCH models in forecasting volatility when sudden switching occurs in response to financial crisis. The data set used in the study consists of returns of the CROBEX index daily closing prices obtained from Zagreb Stock Exchange." @default.
- W2745533818 created "2017-08-31" @default.
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- W2745533818 date "2010-01-01" @default.
- W2745533818 modified "2023-09-27" @default.
- W2745533818 title "Regime switching modelling of structural changes caused by financial crisis" @default.
- W2745533818 hasPublicationYear "2010" @default.
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