We present a new procedure for detecting multiple additive outliers in GARCH(1,1) models at unknown dates. The outlier candidates are the observations with the largest standardized residual. First, a likelihood-ratio based test determines the presence and timing of an outlier. Next, a second...

Data from R.A. Fisher, 1936, on the characteristics of 50 iris flowers of three species: iris setosa, iris versicolor and iris virginica. Four characteristics are recorded for each flower: sepal length, sepal width, petal width, and petal length.

We discuss computational aspects of likelihood-based estimation of univariate ARFIMA (p,d,q) models. We show how efficient computation and simulation is feasible, even for large samples. We also discuss the implementation of analytical bias corrections.

We suggest a convenient version of the omnibus test for normality, using skewness and kurtosis based on Shenton and Bowman ["Journal of the American Statistical Association" (1977) Vol. 72, pp. 206-211], which controls well for size, for samples as low as 10 observations. A multivariate version...

We present a new procedure for detecting multiple additive outliers in GARCH(1,1) models at unknown dates. The outlier candidates are the observations with the largest standardized residual. First, a likelihood-ratio based test determines the presence and timing of an outlier. Next, a second...

The distribution of a functional of two correlated vector-Brownian motions is approximated by a Gamma distribution. This functional represents the limiting distribution for cointegration tests with stationary exogenous regressors, but also for cointegration tests based on a non-Gaussian...