Showing 21 - 30 of 53,118
The paper proposes an original class of conditionally heteroskedastic models aimed to capture contemporaneous asymmetry. Not only past up and down moves of stock market returns have different impacts on the conditional variance, but also, positive and negative changes are governed by different...
Persistent link: https://www.econbiz.de/10005641183
This paper studies asymptotically the bias of the fixed effect (FE) estimator induced by cross-section heterogeneity in …) asymptotically, the heterogeneity bias of the FE may be more or less severe in VAR specifications than in standard dynamic panel data …
Persistent link: https://www.econbiz.de/10012783020
Measuring bias is important as it helps identify flaws in quantitative forecasting methods or judgmental forecasts. It … can, therefore, potentially help improve forecasts. Despite this, bias tends to be under represented in the literature …: many studies focus solely on measuring accuracy. Methods for assessing bias in single series are relatively well known and …
Persistent link: https://www.econbiz.de/10013314570
BEKK. The results of non-parametric tests suggest evidence of considerable bias in the Full BEKK estimates. The results of …
Persistent link: https://www.econbiz.de/10011699474
When estimating the parameters of a process, researchers can choose the reference unit of time (unit period) for their study. Frequently, they set the unit period equal to the observation interval. However, I show that decoupling the unit period from the observation interval facilitates the...
Persistent link: https://www.econbiz.de/10010933408
When estimating the parameters of a process, researchers can choose the reference unit of time (unit period) for their study. Frequently, they set the unit period equal to the observation interval. However, I show that decoupling the unit period from the observation interval facilitates the...
Persistent link: https://www.econbiz.de/10009321240
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and … construct a number of bias corrected OLS and IV estimators, which we show to be consistent under a sequential asymptotic scheme …. These bias-corrected estimators are also robust, in the sense that they remain consistent in a conventional asymptotic setup …
Persistent link: https://www.econbiz.de/10014030882
magnitude of bias of (generalized) MM estimators tends to increase with the number of moment conditions exploited. For various … feedbacks none of the techniques examined dominates. However, a simple bias corrected LS estimator which presupposes strict …
Persistent link: https://www.econbiz.de/10014104029
This paper derives explicit expressions for the asymptotic variances of the maximum likelihood and continuously updated GMM estimators under potentially misspecified models. The proposed misspecification-robust variance estimators allow the researcher to conduct valid inference on the model...
Persistent link: https://www.econbiz.de/10011460616
This paper derives explicit expressions for the asymptotic variances of the maximum likelihood and continuously updated GMM estimators under potentially misspecified models. The proposed misspecification-robust variance estimators allow the researcher to conduct valid inference on the model...
Persistent link: https://www.econbiz.de/10011344636