Showing 1 - 10 of 2,764
Persistent link: https://www.econbiz.de/10014321021
of ARCH effect has been tried to predict with conditional variance models such as ARCH (1), ARCH (2), ARCH (3), GARCH (1 …,1), GARCH (1,2), GARCH (1,3), GARCH (2,1), GARCH (2,2), EGARCH (1,1) and EGARCH (1,2). While the obtained findings indicate that … the best model is in the direction of GARCH (1,1) according to Akaike info criterion, it was found that GARCH (1,1) model …
Persistent link: https://www.econbiz.de/10014382180
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
This paper proposes efficient estimators of risk measures in a semiparametric GARCH model defined through moment …
Persistent link: https://www.econbiz.de/10009620388
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
We study the asymptotic properties of the Adaptive LASSO (adaLASSO) in sparse, high-dimensional, linear time-series models. We assume that both the number of covariates in the model and the number of candidate variables can increase with the sample size (polynomially or geometrically). In other...
Persistent link: https://www.econbiz.de/10010505038
Heteroskedasticity (ARCH) effects existence. For this reason Generalized GARCH models are estimated. Two approaches are followed. The … higher seasonality in volatility rather on average returns. For this reason the Periodic-GARCH (1,1) is estimated. The …
Persistent link: https://www.econbiz.de/10010509192
This paper examines exchange-rate volatility with GARCH models using monthly exchange-rate return series from 1985:1 to … compare estimates of variants of GARCH models with break in respect of the US dollar rates with exogenously determined break … estimation of volatility models with breaks as against those of GARCH models without volatility breaks and that the introduction …
Persistent link: https://www.econbiz.de/10011476095
validate this result. The last twenty eight days out-of-sample forecast adjudged Power-GARCH (1, 1, 1) in student's t error …
Persistent link: https://www.econbiz.de/10011489480
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