We measure stock market co-exeedances using the methodology of Cappiello, Gerard and Manganelli (2005, ECB Working Paper 501). This method is based on quantile regressions and enables us to measure comovement at each point of the return distribution. First, we construct an annual co-exeedance...

We measure stock market coexceedances using the methodology of Cappiello, Gerard and Manganelli (2005, ECB Working Paper 501). This method enables us to measure comovement at each point of the return distribution. First, we construct annual coexceedance probabilities for both lower and upper...

Migrant remittances increased strongly since the 1980s, becoming an important and reliable source of funds for many developing countries. Therefore, there is a strong incentive for receiving countries to attract more remittances, especially through formal channels that turn out to be either less...

Migrant remittances increased strongly since the 1980s, becoming an important and reliable source of funds for many developing countries. Therefore, there is a strong incentive for receiving countries to attract more remittances, especially through formal channels that turn to be either less...

Remittances have greatly increased during recent years, becoming an important and reliable source of funds for many developing countries. Therefore, there is a strong incentive for receiving countries to attract more remittances, especially through formal channels that turn to be either less...

Remittances have greatly increased during recent years, becoming an important and reliable source of funds for many developing countries. Therefore, there is a strong incentive for receiving countries to attract more remittances, especially through formal channels. One way of doing so is to...

We carry out a nonparametric analysis of financial durations. We make use of an existing algorithm to describe nonparametrically the dynamics of the process in terms of its lagged realizations and of a latent variable, its conditional mean. The devices needed to effectively apply the algorithm...

We carry out a non parametric analysis of financial durations. We make use of an existing algorithm to describe non parametrically the dynamics of the process in terms of its lagged realizations and of a latent variable, its conditional mean. The devices needed to effectively apply the algorithm...

We carry out a nonparametric analysis of financial durations. We make use of an existing algorithm to describe nonparametrically the dynamics of the process in terms of its lagged realizations and of a latent variable, its conditional mean. The devices needed to effectively apply the algorithm...

We present a new approach on shape preserving estimation of probability distribution and density functions using wavelet methodology for multivariate dependent data. Our estimators preserve shape constraints such as monotonicity, positivity and integration to one, and allow for low spatial...