We study international competition in high-end products for 416 detailed HS6 product categories marketed by leading French luxury brands. We construct a world database of trade flows for these products in the period 1994-2009, computing unit values of related bilateral trade flows and analyzing...

Using an econometric shift-share decomposition, we explain the redistribution of world market shares at the level of the product variety and by technological content. We decompose changes in market shares into structural eff ects (geographical and sectoral) and a pure performance e ffect. We...

We study international competition in high-end products for 416 detailed HS6 product categories marketed by leading French luxury brands. We construct a world database of trade flows for these products in the period 1994-2009, computing unit values of related bilateral trade flows and analyzing...

In this paper, we investigate the impact of monetary policy signals stemming from the ECB Council and the FOMC on the intradaily Euro-dollar volatility, using high-frequency data (five minutes frequency). For that, we estimate an AR(1)-GARCH(1,1) model, which integrates a polynomials structure...

Most of the international asset pricing models are developed in the situation where purchasing power parity (PPP) is not respected. Investors of different countries do not agree on expected security returns. However, in this case, an equilibrium on the international assets market may exist but...

This paper relaxes a fundamental hypothesis commonly accepted in the expectation formation literature: expectations are, unchangingly, either rational or generated by one of the three simple extrapolative, regressive or adaptive processes. Using expectations survey data provided by Consensus...

This paper examines the relationships between the CAC40 index, the Dow Jones index and the Euro/USD exchange rate using daily data over the period 1999-2008. We find that these variables are I(1) nonstationary series, but they are fractionally cointegrated: equilibrium errors exhibit slow mean...

Using methods from machine learning - adaptive sequential ridge regression with discount factors - that prevent overfitting in-sample for better and more stable forecasting performance out-of-sample we show that fundamentals from the PPP, UIRP and monetary models consistently improve the...

With the emergence of the chaos theory and the method of surrogates data, nonlinear approaches employed in analysing time series typically suffer from high computational complexity and lack of straightforward explanation. Therefore, the need for methods capable of characterizing time series in...