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Herding, a-synchronous updating and heterogeneity in memory in a CBS
Diks, Cees G. H.; Weide, Roy van der - 2003
predicts MA(1) structure with a negative coeffient. Asynchronous updating leads to an MA(1) model for returns with GARCH($1 …,1$) innovations, and predicts a relation between the ARCH and GARCH coefficients. Heterogeneity in memory leads to long … coefficient and the relation between the ARCH and GARCH coefficients for exchange rate data. …
Persistent link: https://www.econbiz.de/10011334332
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Why frequency matters for unit root testing
Boswijk, Herman Peter; Klaassen, Franc - 2004 - Rev.
It is generally believed that for the power of unit root tests, only the time span and not the observation frequency matters. In this paper we show that the observation frequency does matter when the high-frequency data display fat tails and volatility clustering, as is typically the case for...
Persistent link: https://www.econbiz.de/10011342578
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Stock index volatility forecasting with high frequency data
Hol Uspensky, Eugenie; Koopman, Siem Jan - 2002
Volatility (SV) and Generalised Autoregressive Conditional Heteroskedasticity (GARCH) models which are both extended to include … outperforms the GARCH model. …
Persistent link: https://www.econbiz.de/10011326944
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Forecasting the volatility of S&P depositary receipts using GARCH-type models under intraday range-based and return-based proxy measures
Liu, Hung-Chun; Chiang, Shu-mei; Cheng, Nick Ying-pin - In: International review of economics & finance : IREF 22 (2012) 1, pp. 78-91
Persistent link: https://www.econbiz.de/10009618705
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A new bootstrap test for the validity of a set of marginal models for multiple dependent time series : an application to risk analysis
Ardia, David; Gatarek, Lukasz; Hoogerheide, Lennart F. - 2014
over a small time frame (e.g., a crisis period). We apply our method to test GARCH model specifications for a large panel …
Persistent link: https://www.econbiz.de/10010250513
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GARCH models for daily stock returns : impact of estimation frequency on value-at-risk and expected shortfall forecasts
Ardia, David; Hoogerheide, Lennart - 2013
Persistent link: https://www.econbiz.de/10010191413
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Bootstrapping GARCH models under dependent innovations
Beutner, Eric; Schaumburg, Julia; Spanjers, Barend - 2024
This study reflects on the inconsistency of the fixed-design residual bootstrap procedure for GARCH models under …
Persistent link: https://www.econbiz.de/10014457811
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A periodically integrated subset autoregression for Dutch industrial production
Franses, Philip H. - 1992 - Rev
Persistent link: https://www.econbiz.de/10000122459
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Generalized autoregressive method of moments
Creal, Drew; Koopman, Siem Jan; Lucas, André; … - 2015
We introduce a new estimation framework which extends the Generalized Method of Moments (GMM) to settings where a subset of the parameters vary over time with unknown dynamics. To filter out the dynamic path of the time-varying parameter, we approximate the dynamics by an autoregressive process...
Persistent link: https://www.econbiz.de/10011431471
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Modelling economic high-frequency time series
Lundbergh, Stefan; Teräsvirta, Timo - 1999
In this paper we introduce the STAR-STGARCH model that can characterizenonlinear behaviour both in the conditional mean and the conditionalvariance. A modelling cycle for this family of models, consisting ofspecification, estimation, and evaluation stages is constructed.Misspecification tests...
Persistent link: https://www.econbiz.de/10011300552