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residuals to identify heteroscedastic components. We show that conditional heteroscedasticity truly present in the data can be … power to detect conditional heteroscedasticity. Furthermore, the proposed statistics can help to decide which component is … experiments. Finally, we use auxiliary residuals to detect conditional heteroscedasticity in monthly inflation series of eight …
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This paper investigates the size distortions of HCCME-based tests for serial correlation and the wild bootstrapped counterparts in the presence of asymmetric conditional heteroskedasticity. Thereby, asymmetric effects are allowed to enter the residual process of the dynamic regression model in...
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in normally distributed and non-normal datasets. Even small deviances from homogeneity to that of heteroscedasticity …
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