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The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility
Clark, Todd E.; Ravazzolo, Francesco - 2012
Persistent link: https://www.econbiz.de/10009627354
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The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility
Clark, Todd E.; Ravazzolo, Francesco - 2012
Persistent link: https://www.econbiz.de/10009628606
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Small sample properties of forecasts from autoregressive models under structural breaks
Timmermann, Allan; Pesaran, M. Hashem - 2003
Autoregressive models are used routinely in forecasting and often lead to better performance than more complicated models. However, empirical evidence is also suggesting that the autoregressive representations of many macroeconomic and financial time series are likely to be subject to structural...
Persistent link: https://www.econbiz.de/10011508088
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Forecasting stock market volatility and the informational efficiency of the DAX-index options market
Claessen, Holger - 1996
Persistent link: https://www.econbiz.de/10001410584
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Bootstrapping impulse responses of structural vector autoregressive models identified through GARCH
Lütkepohl, Helmut; Schlaak, Thore - 2018 - Revised version: January 29, 2019
identified by generalized autoregressive conditional heteroskedasticity (GARCH) are reviewed and compared in a Monte Carlo study …. The bootstrap methods considered are a wild bootstrap, a moving blocks bootstrap and a GARCH residual based bootstrap …. Estimation is done by Gaussian maximum likelihood, a simplified procedure based on univariate GARCH estimations and a method that …
Persistent link: https://www.econbiz.de/10012041300
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Generalized dynamic factor models and volatilities : consistency, rates, and prediction intervals
Barigozzi, Matteo; Hallin, Marc - 2018
Persistent link: https://www.econbiz.de/10012064840
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Structural vector autoregressions with heteroskedasticity : a comparison of different volatility models
Lütkepohl, Helmut; Netšunajev, Aleksei - 2015
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010509631
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Structural vector autoregressions with heteroskedasticity : a comparison of different volatility models
Lütkepohl, Helmut; Netšunajev, Aleksei - 2015
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010501257
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Structural vector autoregressions with heteroskedasticity : a comparison of different volatility models
Lütkepohl, Helmut; Netšunajev, Aleksei - 2015
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of di erent models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010503909
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Adaptive LASSO estimation for ARDL models with garch innovations
Medeiros, Marcelo C.; Mendes, Eduardo F. - 2015
In this paper we show the validity of the adaptive LASSO procedure in estimating stationary ARDL(p,q) models with GARCH …
Persistent link: https://www.econbiz.de/10010505034