This paper examines the empirical behaviour of stock prices around the ex dates of stock splits in order to detect anomalous returns. Also, it is investigated the determinant factors of the split size, its effects on the liquidity and the influence of the market microstructure in the abnormal...

In this paper we examine the value of analysts’ stock recommendations in the Spanish capital market in the period 1994-2003, using data from JCF Quant. In every month of the sample period the assets have been classified into five portfolios first attending its consensus recommendations level...

We evaluate the quality of prices of the EU-ETS, the most active European derivative market for greenhouse gas emissions allowances (EUAs). So far, this market has had two phases, a trial phase (from 2005 to 2007) and a commitment phase (from 2008 to 2012). The true value of a trial-phase EUA at...

Determining the degree of informational asymmetry is a major topic in the literature of modern microstructure. In this paper, we review and analyze the suitability of the models for estimating the probability of informed trading [Easley et al., 1996; Nyholm, 2002, 2003]. The empirical analysis is...

We discuss how to test consistently the specification of an ordereddiscrete choice model. Two approaches are considered: tests based onconditional moment restrictions and tests based on comparisons betweenparametric and nonparametric estimations. Following these approaches,various statistics are...

Testing for unit roots in short-term interest rates plays a key role in the empirical modelling of these series. It is widely assumed that the volatility of interest rates follows some time-varying function which is dependent of the level of the series. This may cause distortions in the...

We propose an estimator for count data regression models where a binary regressor is endogenously determined. This estimator departs from previous approaches by using a flexible form for the conditional probability function of the counts. Using a Monte Carlo experiment we show that our estimator...

In this paper I analyze the relative performance of Gaussian and Student-t GARCH and FIGARCH type models for volatility and Value-at-Risk forecasting of daily stock-returns using data from the Spanish equity index IBEX-35. The in-sample analysis shows that the Student-t FIAPARCH process provides...

Long-range persistence in volatility is widely modelled and forecasted in terms of the so-called fractional integrated models. These models are mostly applied in the univariate framework, since the extension to the multivariate context of assets portfolios, while relevant, is not...

The bounded character of time-use data poses a challenge to the analysis of variance based on classical linear models. This paper investigates a computationally simple variance decomposition technique suitable for these data. As a by-product of the analysis, a measure of fit for systems of...