This paper proposes a new evaluation framework for interval forecasts. Our model free test can be used to evaluate intervals forecasts and High Density Regions, potentially discontinuous and/or asymmetric. Using a simple J-statistic, based on the moments de ned by the orthonormal polynomials...

In this paper we propose a multivariate dynamic probit model. Our model can be considered as a non-linear VAR model for the latent variables associated with correlated binary time-series data. To estimate it, we implement an exact maximum-likelihood approach, hence providing a solution to the...

We identify a potential bias in the methodology disclosed in July 2013 by the Basel Committee on Banking Supervision (BCBS) for identifying systemically important financial banks. Contrary to the original objective, the relative importance of the five categories of risk importance (size,...

Beyond the general issue of institutional change at the aggregate level, some studies have shown that the diversity of Japanese firms has increased since the late 1990s, both in terms of performance and organization. This paper contributes to this literature by investigating the evolving...

We present an evaluation of the main empirical approaches used in the literature to estimate the contribution of public capital stock to growth and private factors’ productivity. Based on a simple stochastic general equilibrium model, built as to reproduce the main long-run relations observed...

This paper generalizes the Bollerslev and Zhang (2003) approach for the estimation of loadings of asset pricing models using "realized" measures and co-measures of risk. We propose here to extend this approach by including higher-moments in asset pricing models. Estimations are conducted using...

We derive several popular systemic risk measures in a common framework and show that they can be expressed as transformations of market risk measures (e.g., beta). We also derive conditions under which the different measures lead to similar rankings of systemically important financial...