Most hypotheses in binary response models are composite. The null hypothesis is usually that one or more slope coefficients are zero. Typically, the sequence of alternatives of interest is one in which the slope coefficients are increasing in absolute value. In this papar, we prove that the...

The Value-at-Risk (VAR) measurements are widely applied to estimate exposure to market risks. The traditional approaches to VAR computations - the variance-covariance method, historical simulation, Monte Carlo simulation, and stress-testing - do not provide satisfactory evaluation of possible...

Recently, Vogelsang (1999) proposed a method to detect outliers which explicitly imposes the null hypothesis of a unit root. It works in an iterative fashion to select multiple outliers in a given series. We show, via simulations, that under the null hypothesis of no outliers, it has the right...

We propose residual based tests for cointegration using local GLS detrending (Elliott, Rothemberg and Stock (1996), ERS) to eliminate separately the deterministic components in the series. We consider two cases, one where only a constant is included and one where a constant and a time trend are...

The Seasonal Adjustment Research Appraisal committee was created in Italy to evaluate procedures for seasonal adjustment of economic series. Because the TRAMO-SEATS programs were one of the main procedures considered, the committee sent a selection of 11 series of interest to be analysed. This...

The preliminaries in the paper contrast the advantages and disadvantages of using arbitrary scores for ordinal responses in linear models compared to generalised linear models for ordered catagory responses. The context of multilevel and random effects models is a particular focus. Simulation...

The Seasonal Adjustment Research Appraisal committee was created in Italy to evaluate procedures for seasonal adjustment of economic series. Because the TRAMO-SEATS programs were one of the main procedures considered, the committee sent a selection of 11 series of interest to be analysed. This...

In this paper, we introduce a new approach for volatility modeling in discrete and continuous time.