A goodness-of-fit test in the class of conditional heteroscedastic time series models is examined. Due to the nonstandard limiting distribution of the test, we propose to bootstrap the test, showing its asymptotic validity. Moreover, we illustrate the finite sample performance of the test by a small Monte Carlo study
International audienceThe robustness against strongly non-linear forms for the conditional variance ...
International audienceThis paper deals with tests for detecting conditional heteroskedasticity in AR...
International audienceThis paper deals with tests for detecting conditional heteroskedasticity in AR...
A goodness-of-fit test in the class of conditional heteroscedastic time series models is examined. D...
We consider a goodness-of-fit test for certain parametrizations of conditionally heteroscedastic tim...
We propose and study by means of simulations and graphical tools a class of goodness-of-fit tests fo...
The autoregressive conditional heteroscedastic (ARCH) model and its extensions have been widely used...
Many researchers have used parametric ARCH models to specify the conditional variance of financial s...
International audienceThis paper deals with bootstrapping tests, based on the LM statistic and on a ...
International audienceThis paper deals with bootstrapping tests, based on the LM statistic and on a ...
International audienceThis paper deals with bootstrapping tests, based on the LM statistic and on a ...
International audienceThis paper deals with tests for detecting conditional heteroskedasticity in AR...
International audienceThe robustness against strongly non-linear forms for the conditional variance ...
This paper deals with bootstrapping tests for detecting conditional heteroskedas-ticity in the conte...
International audienceThe robustness against strongly non-linear forms for the conditional variance ...
International audienceThe robustness against strongly non-linear forms for the conditional variance ...
International audienceThis paper deals with tests for detecting conditional heteroskedasticity in AR...
International audienceThis paper deals with tests for detecting conditional heteroskedasticity in AR...
A goodness-of-fit test in the class of conditional heteroscedastic time series models is examined. D...
We consider a goodness-of-fit test for certain parametrizations of conditionally heteroscedastic tim...
We propose and study by means of simulations and graphical tools a class of goodness-of-fit tests fo...
The autoregressive conditional heteroscedastic (ARCH) model and its extensions have been widely used...
Many researchers have used parametric ARCH models to specify the conditional variance of financial s...
International audienceThis paper deals with bootstrapping tests, based on the LM statistic and on a ...
International audienceThis paper deals with bootstrapping tests, based on the LM statistic and on a ...
International audienceThis paper deals with bootstrapping tests, based on the LM statistic and on a ...
International audienceThis paper deals with tests for detecting conditional heteroskedasticity in AR...
International audienceThe robustness against strongly non-linear forms for the conditional variance ...
This paper deals with bootstrapping tests for detecting conditional heteroskedas-ticity in the conte...
International audienceThe robustness against strongly non-linear forms for the conditional variance ...
International audienceThe robustness against strongly non-linear forms for the conditional variance ...
International audienceThis paper deals with tests for detecting conditional heteroskedasticity in AR...
International audienceThis paper deals with tests for detecting conditional heteroskedasticity in AR...