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...

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...

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...

In this paper we describe a solution to the problem of controlling the size of homoskedasticity tests in linear regression contexts.

This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not.

In this paper, we provided a unifying analysis of latent variable models in finance through the concept of stochastic discount factor (SDF).