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Ordinal-response GARCH models for transaction data : a forecasting exercise
Dimitrakopoulos, Stefanos; Tsionas, Efthymios G. - In: International journal of forecasting 35 (2019) 4, pp. 1273-1287
Persistent link: https://www.econbiz.de/10012305278
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Threshold models in time series analysis : some reflections
Tong, Howell - In: Journal of econometrics 189 (2015) 2, pp. 485-491
Persistent link: https://www.econbiz.de/10011504634
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia; Kilian, Lutz - 2002
Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....
Persistent link: https://www.econbiz.de/10011431797
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia; Kilian, Lutz - In: Journal of econometrics 123 (2004) 1, pp. 89-120
Persistent link: https://www.econbiz.de/10002223733
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia; Kilian, Lutz - 2002
Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....
Persistent link: https://www.econbiz.de/10001727625
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia (contributor); Kilian, Lutz (contributor) - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001947544
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Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form
Kilian, Lutz - 2016
Persistent link: https://www.econbiz.de/10012991261
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Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form
Gonçalves, Sílvia; Kilian, Lutz - 2021
Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....
Persistent link: https://www.econbiz.de/10013320164
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R-estimation in semiparametric dynamic location-scale models
Hallin, Marc; La Vecchia, Davide - In: Journal of econometrics 196 (2017) 2, pp. 222-247
Persistent link: https://www.econbiz.de/10011818285
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia - 2002
Persistent link: https://www.econbiz.de/10013434522