Statistical tests in vector autoregressive (VAR) models are typically based on large-sample approximations, involving the use of asymptotic distributions or bootstrap techniques. After documenting that such methods can be very misleading even with fairly large samples, especially when the number...

We propose methods for testing hypothesis of non-causality at various horizons, as defined in Dufour and Renault (1998, Econometrica). We study in detail the case of VAR models and we propose linear methods based on running vector autoregressions at different horizons. While the hypotheses...

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...

In the last decades, Corporate Social Responsibility (CSR) has been deeply studied. Many researchers focused on the best social report form underlining advantages, and they shown that these documents follow more and more often balance-sheets. This work analyses the relation between the writing...

This paper investigates the effects of home country banking regulations on the performance of foreign banks in Luxembourg?s financial center. We control for the main regulatory indicators, such as capital requirements, private monitoring, official disciplinary power and restrictions on bank...