We study the relationships between the real effective exchange rate (REER) of the Tunisian dinar and its determinants/fundamentals, i.e. the ratio of trade balance/GDP, the ratio of public consumption/GDP, the openness rate and the terms of trade. We find that in the most of cases, the variables...

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...

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 discuss statistical inference problems associated with identification and testability in econometrics, and we emphasize the common nature of the two issues. After reviewing the relevant statistical notions, we consider in turn inference in nonparametric models and recent developments on...

This paper proposes a new nonparametric test for conditional independence, which is based on the comparison of Bernstein copula densities using the Hellinger distance. The test is easy to implement because it does not involve a weighting function in the test statistic, and it can be applied in...

In this paper, we propose several finite-sample specification tests for multivariate linear regressions (MLR) with applications to asset pricing models. We focus on departures from the assumption of i.i.d. errors assumption, at univariate and multivariate levels, with Gaussian and non-Gaussian...

In this paper we propose exact likelihood-based mean-variance efficiency tests of the market portfolio in the context of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a special case. These tests are developed in the framework of...

In this paper, we propose exact inference procedures for asset pricing models that can be formulated in the framework of a multivariate linear regression (CAPM), allowing for stable error distributions. The normality assumption on the distribution of stock returns is usually rejected in...

A wide range of tests for heteroskedasticity have been proposed in the econometric and statistics literatures. Although a few exact homoskedasticity tests are available, the commonly employed procedures are quite generally based on asymptotic approximations which may not provide good size...