The recent financial crisis raised awareness of the need for a framework for conducting macroprudential policy. Identifying as early as possible and addressing the buildup of endogenous imbalances, exogenous shocks, and contagion from financial markets, market infrastructures, and financial...

This paper make an overview of the copula theory from a practical side. We consider different methods of copula estimation and different Goodness-of-Fit tests for model selection. In the GoF section we apply Kolmogorov-Smirnov and Cramer-von-Mises type tests and calculate power of these tests...

The objective of this paper is to provide a complete framework to aggregate different quantile and expectile models for obtaining more diversified Value-at-Risk and Expected Shortfall measures, by applying the diversification principle to model risk. Following Taylor (2008) and Gouriéroux and...

Ce papier presente une modelisation de l'indice des prix francais. L'objectif est de permettre une analyse rapide et detaillee des tendances de court terme de l'inflation ainsi que de realiser des previsions a intervalles rapproches. Les caracteristiques de cet outil sont les suivantes: un petit...

Nous proposons dans cet article un modèle théorique pour analyser les conséquences de la concurrence dans les réseaux dotés des systèmes technologiques différents. Nous nous inspirons du modèle de Demange-Ponssard (1986), en mettant l’accent sur l'incompatibilité des technologies...

We develop a geographical-based vibrancy index using important location characteristics that measure local economic health. We show that local vibrancy is associated with future firm outcomes, including investment, leverage, profitability, and firm value. More vibrant firms are located in...

Short lived arbitrage opportunities arise when prices adjust with a lag to new information. They are toxic because they expose dealers to the risk of trading at stale quotes. Hence, theory implies that more frequent toxic arbitrage opportunities and a faster arbitrageurs' response to these...

Information processing filters out the noise in data but it takes time. Hence, low precision signals are available before high precision signals. We analyze how this feature affects asset price informativeness when investors can acquire signals of increasing precision over time about the payoff...