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methods. The effects ofseveral modelcharacteristics (unit roots, GARCH, stochastic volatility, heavy taileddisturbance …
Persistent link: https://www.econbiz.de/10011313921
parsimonious and effective GARCH(1,1) model with Student-t innovations. The estimation procedure is fully automatic and thus avoids …
Persistent link: https://www.econbiz.de/10011380176
This paper proposes an up-to-date review of estimation strategies available for the Bayesian inference of GARCH … empirical application to S&P index log-returns. Several non-nested GARCH-type models are estimated and combined to predict the …
Persistent link: https://www.econbiz.de/10011380465
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such as Generalized Autoregressive Conditional Heteroskedastic (GARCH), Generalized Autoregressive Score (GAS), and … inclusion of exogenous variables is beneficial for GARCH-type models while offering only a marginal improvement for GAS and SV …
Persistent link: https://www.econbiz.de/10014252427
We study the impact of observational learning in large scale congested service systems with servers having heterogenous quality levels and customers that are heterogonously informed about the server quality. Providing congestion information to all customers allows them to avoid congested...
Persistent link: https://www.econbiz.de/10011756896
We design a statistical model for measuring the homogeneity of a financial network that evolves over time. Our model focuses on the level of diversi- fication of financial institutions; that is, whether they are more inclined to distribute their assets equally among partners, or if they rather...
Persistent link: https://www.econbiz.de/10012200823
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