This article aims at estimating leading indicators of the American economy with financial variables. We use two types of hidden Markov chains models, a quantitative one (Krolzig (1997)) and a qualitative one (Gregoir and Lenglart (2000)). These models provide a robust and reliable framework to...

In this paper we argue that banks anticipate short-term market rates when setting interest rates on loans and deposits. In order to include anticipated rates in an empirical model, we use two methods to forecast market rates - a level, slope, curvature model and a principal components model -...

Designing an investment strategy in transition economies is a difficult task, because stock markets opened through time, time series are short, and there is little guidance how to obtain expected returns and covariance matrices necessary for mean-variance asset allocation. Moments of market...

When supervisors have imperfect information about the soundness of banks, they may be unaware of insolvency problems that develop in the interval between on-site examinations. Supervising banks more often will alleviate this problem but will increase the costs of supervision. This paper analyzes...

Empirical techniques to assess market comovements are numerous from cointegration to dynamic conditional correlations. This paper uses the fractal properties of asset returns and presents estimations of Markov switching multifractal models [as MSM] to give new insights about short and long run...

We build, calibrate and simulate a stylized energy-economy model designed to evaluate the magnitude of carbon tax that would allow the French economy to reduce by a factor of four its CO2 emissions at a forty-year horizon. We estimate the substitution possibilities between fossil energy and...

This article addresses the existence of a wide range of estimated government spending multipliers in a dynamic stochastic general equilibrium model of the euro area. Our estimation results and counterfactual exercises provide evidence that omitting the interactions of key ingredients at the...

Using a Bayesian structural vector autoregression (TVP-SVAR) with time-varying parameters and volatility we investigate monetary policy in the United States, in particular its interaction with the formation of inflation expectations and the linkages between monetary policy, inflation...

We propose a new filtering and smoothing technique for non-linear state-space models. Observed variables are quadratic functions of latent factors following a Gaussian VAR. Stacking the vector of factors with its vectorized outer-product, we form an augmented state vector whose first two...

This paper develops an arbitrage-free affine term structure model of potentially defaultable sovereign bonds to model a cross-section of eight euro area government bond yield curves since January 1999. The existence of a common monetary policy under European Monetary Union determines the short...