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...

This paper presents a two-sector growth model of international trade that can account for the key features of the postwar world development experience. Two sectors represent the traditional primitive production and the modern sophisticated production. Due to increasing returns in the modern...

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...

We provide numerically reliable analytical expressions for the score of conditionally heteroskedastic dynamic regression models when the conditional distribution is multivariate $t$. We also derive one-sided and 2-sided LM tests for multivariate normality versus multivariate $t$ based on the...

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...

Interest rate risk represents one of the key forms of financial risk faced by banks. It has given rise to an extensive body of research, mainly focused on the estimation of sensitivity of bank stock returns to changes in interest rates. However, the analysis of the sources of bank interest rate...

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...