The selection of an appropriate parameterization of data is a fundamental step in a majority of empirical research effort. Likewise, detecting or estimating features of non-stationarities in data sequences is a critical point in conducting credible research that uses data for inference. In this...

We analyze the time-variations of conditional correlations between selected Latin American emerging markets and between them and the World stock market to further shed light on the issues of capital market integration and portfolio diversification. The cross-market correlations are empirically...

This paper aims to test for structural breaks and dynamic changes in emerging market volatility. We typically relate these issues to stock market liberalization since the latter is often considered as one of the most important forces that promote economic growth and rapid maturation of the...

This paper studies the predictability of returns in the French stock market. It provides an analysis of predictable components of monthly common stock returns. We study a single-beta conditional model and we show that stock market risk premium is variable over the time and is important for...

This paper presents a simple framework for the use of traditional capital budgeting models and the valuation of several real options in the presence of shadow costs of incomplete information. Information costs can be viewed as sunk costs in the spirit of Merton’s (1987) model of capital market...

Cet article examine si la valeur d’une entreprise exportatrice française est affectée par les fluctuations contemporaines et retardées du taux de change. En se basant sur un ´échantillon de 100 entreprises exportatrices françaises, l’´étude trouve que 22% des entreprises connaissent...