This paper introduces a new family of multivariate distributions based on Gram-Charlier and Edgeworth expansions. This family encompasses many of the univariate seminonparametric densities proposed in the financial econometrics as marginal distributions of the different formulations. Within this...

Derivamos las condiciones para la elección óptima de cartera bajo una utilidad con aversión al riesgo relativo constante y distribuciones de probabilidad alternativas que son capaces de capturar las caraterísticas de asimetría y curtosis de los rendimientos de los activos financieros....

En este estudio, proponemos un nuevo tipo de distribución semi-noparamétrica (SNP) para describir la densidad de los rendimientos de las carteras de activos. Esta distribución, denominada «expansión de momentos multivariante» (MME), admite cualquier distribución (multivariante)...

Purpose: The authors apply their method to analyze which portfolios are capable of providing superior performance to those based on the Sharpe ratio (SR). Design/methodology/approach: In this paper the authors illustrate the use of conditional copulas for identifying differences in alternative...

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...