Résumé: Nous étudions la puissance en terme de prévision des processus basés sur la méthode du noyau en utilisant la version non paramétrique du critère « Final Prediction error » pour identifier un processus fonctionnel hétéroscédastique. Cette identification nécessite une...

Résumé: Nous étudions la puissance en terme de prévision des processus basés sur la méthode du noyau en utilisant la version non paramétrique du critère « Final Prediction error » pour identifier un processus fonctionnel hétéroscédastique. Cette identification nécessite une...

The forecasting literature has identified three important and broad issues: the predictive content is unstable over time, in-sample and out-of-sample discordant results and the problematic statistical inference with highly persistent predictors. In this paper, we simultaneously address these...

The quarterly industrial investment survey constitutes one of the main sources of information for the short-term economic analysis of industrial firms investment. However, its main questions are annual. Therefore, the use of this surveys results for the forecasting of investment on a quarterly...

Cet article vise à analyser le comportement cyclique de la série du cours de l'action Orange du 03/01/2000 à 02/02/2017 par la recherche de la non linéarité à travers d'une classe de modèles non paramétriques hétéroscédastiques, notée NAR-ARCH. L'identification des modèles non...

In a Constant Proportion Portfolio Insurance (CPPI) framework, a constant risk exposure is defined by the multiple of the strategy. This article proposes an alternative conditional multiple estimation model, which is based on an autoregressive quantile regression dynamic approach. We estimate...

We consider the problem of testing whether the observations X1, · · ·, Xn of a time series are independent with unspecified (possibly nonidentical) distributions symmetric about a common known median. Various bounds on the distributions of serial correlation coefficients are proposed:...

We identify and examine the presence of the long memory in equity returns and more generally in specific transformations of these returns, on both the US and European stock markets. Taking into account the persistence phenomenon, we analyze the effect of the splitting of the sample period on the...

This paper investigates the properties of the decomposition of a time series presented in a companion paper (Lacroix, (2008)). The procedure relies upon an extension of Beveridge-Nelson methodology. We focus on its empirical implementation and show the need for additional steps in order to...

Short-term analysis is generally performed with seasonally adjusted data from which further estimation of the business cycle is performed through well-known filters (HP, Baxter-King). However, the whole procedure is not fully consistent, because seasonal adjustment and trend-cycle estimation do...