Showing 1 - 10 of 13
in a simulation study. We therefore summarize robust test procedures for serial correlation and propose a bootstrap …
Persistent link: https://www.econbiz.de/10011051468
Persistent link: https://www.econbiz.de/10008775807
In this paper we introduce a bootstrap procedure to test parameter restrictions in vector autoregressive models which … is robust in cases of conditionally heteroskedastic error terms. The adopted wild bootstrap method does not require any … Monte Carlo investigation empirical size and power properties of the new method are illustrated. We compare the bootstrap …
Persistent link: https://www.econbiz.de/10010956345
One puzzling behavior of asset returns for various frequencies is the often observed positive autocorrelation at lag 1. To some extent this can be explained by standard asset pricing models when assuming time varying risk premia. However, one often finds better results when directly fitting an...
Persistent link: https://www.econbiz.de/10010956379
conditional heteroskedasticity. We show that the wild bootstrap provides convenient critical values for the considered OLS …-based statistics under both homoskedastic and conditionally heteroskedastic model errors. The wild bootstrap is easy to implement and … approximations. We prove further that the wild bootstrap retains its validity for inference within a system of pooled equations …
Persistent link: https://www.econbiz.de/10010956432
confirmed in a simulation study. We summarize serial correlation robust test procedures and propose a bootstrap approach. By …
Persistent link: https://www.econbiz.de/10010271838
We introduce a new, factor based bootstrap approach which is robust under heteroskedastic error terms for inference in … functional coefficient models. Modeling the functional coefficient parametrically, the bootstrap approximation of an F statistic …, factor based bootstrap inference outperforms the wild bootstrap and pairs bootstrap approach according to its size features …
Persistent link: https://www.econbiz.de/10010296279
One puzzling behavior of asset returns for various frequencies is the often observed positive autocorrelation at lag 1. To some extent this can be explained by standard asset pricing models when assuming time varying risk premia. However, one often finds better results when directly fitting an...
Persistent link: https://www.econbiz.de/10010310056
conditional heteroskedasticity. We show that the wild bootstrap provides convenient critical values for the considered OLS …-based statistics under both homoskedastic and conditionally heteroskedastic model errors. The wild bootstrap is easy to implement and … approximations. We prove further that the wild bootstrap retains its validity for inference within a system of pooled equations …
Persistent link: https://www.econbiz.de/10010310267
In this paper we introduce a bootstrap procedure to test parameter restrictions in vector autoregressive models which … is robust in cases of conditionally heteroskedastic error terms. The adopted wild bootstrap method does not require any … Monte Carlo investigation empirical size and power properties of the new method are illustrated. We compare the bootstrap …
Persistent link: https://www.econbiz.de/10010310809