In this paper we propose a new test of conditional heteroskedasticity for time series by introducing a Kolmogorov-Smirnov-type test statistic. The asymptotic properties of the new test statistic are established. The results demonstrate that such a test is consistent.Nonlinear time series model Conditional heteroskedasticity Hypothesis testing Brownian motion
This paper proposes a new test statistic to deter the presence of heteroskedasticity. The proposed t...
Abstract: The testing problem for the hypothesis of linearity against the double threshold autoregre...
This study considers the goodness of fit test for a class of conditionally heteroscedastic location-...
Many statistical techniques devoted to stationary time series analysis assume a constant conditional...
We show that the standard consistent test for testing the null of conditional homoskedasticity (agai...
Traditional tests for conditional heteroscedasticity are based on testing for significant autocorrel...
Traditional tests for conditional heteroscedasticity are based on testing for significant autocorrel...
Traditional tests for conditional heteroscedasticity are based on testing for significant autocorrel...
Traditional tests for conditional heteroscedasticity are based on testing for significant autocorrel...
Economic theories in time series contexts usually have implications on and only on the conditional m...
Abstract: Traditional tests for conditional heteroscedasticity are based on testing for signicant au...
This paper proposes a nonparametric test for parametric conditional distributions of dynamic models....
Economic theories in time series contexts usually have implications on and only on the conditional m...
This paper proposes a statistical test of the martingale hypothesis. It can be used to test whether ...
In this article we develop a test for the hypothesis that a series (observed in discrete time) is ge...
This paper proposes a new test statistic to deter the presence of heteroskedasticity. The proposed t...
Abstract: The testing problem for the hypothesis of linearity against the double threshold autoregre...
This study considers the goodness of fit test for a class of conditionally heteroscedastic location-...
Many statistical techniques devoted to stationary time series analysis assume a constant conditional...
We show that the standard consistent test for testing the null of conditional homoskedasticity (agai...
Traditional tests for conditional heteroscedasticity are based on testing for significant autocorrel...
Traditional tests for conditional heteroscedasticity are based on testing for significant autocorrel...
Traditional tests for conditional heteroscedasticity are based on testing for significant autocorrel...
Traditional tests for conditional heteroscedasticity are based on testing for significant autocorrel...
Economic theories in time series contexts usually have implications on and only on the conditional m...
Abstract: Traditional tests for conditional heteroscedasticity are based on testing for signicant au...
This paper proposes a nonparametric test for parametric conditional distributions of dynamic models....
Economic theories in time series contexts usually have implications on and only on the conditional m...
This paper proposes a statistical test of the martingale hypothesis. It can be used to test whether ...
In this article we develop a test for the hypothesis that a series (observed in discrete time) is ge...
This paper proposes a new test statistic to deter the presence of heteroskedasticity. The proposed t...
Abstract: The testing problem for the hypothesis of linearity against the double threshold autoregre...
This study considers the goodness of fit test for a class of conditionally heteroscedastic location-...