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...

This paper generalizes the Dynamic Conditional Correlation (DCC) model of Engle (2002), incorporating a flexible non-Gaussian distribution based on Gram-Charlier expansions. The resulting semi-nonparametric-DCC (SNP-DCC) model allows estimation in two stages and deals with the negativity problem...

Growth models under uncertainty and constant relative risk aversion (CRRA) utility are fragile in explaining consumers’ choice, as equilibrium consumption is dependent on distributional assumptions. We show that, under semi-nonparametric distributions, general equilibrium models are stable, as...