The main purpose of this paper is to determine the macro-prudential indicators of financial strength that can be used under supervision of the banking system in CEMAC. More specifically, we start from a set of indicators listed in the literature on macro-prudential supervision, and identify...

In this study, we identifie a small number of indicators of macro-prudential supervision important to monitoring of the banking’s system. We use the theory of Markov stochastic processes to measure the systemic risk of CEMAC by calculating the degree of fragility of system and we determine the...

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...

This manuscript provides an introduction to statistics and probability method. It is structured around three themes developed in five chapters. The first part is an introduction to probability calculations in which we introduce the notions of elementary probability, probabilized spaces, random...

In this paper, we use identification-robust methods to assess the empirical adequacy of a New Keynesian Phillips Curve (NKPC) equation. We focus on the Gali and Gertler's (1999) specification, on both U.S. and Canadian data. Two variants of the model are studied: one based on a...

We consider testing for long-run homogeneity within a dynamic consumer demand system allowing for non-stationarities. The static long-run solution is assumed to follow the Linear Almost Ideal Demand System and we test for long-run homogeneity within this system utilizing a triangular...

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 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 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 develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only...