This article discusses the finite distance properties of three likelihood-based estimation strategies for GARCH processes with non-Gaussian conditional distributions : (1) the maximum likelihood approach ; (2) the Quasi maximum Likelihood approach ; (3) a multi-steps recursive estimation...

We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...

We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...

The aim of this paper is to estimate the Multivariate Affine Generalized distributions (MAGH) using market data. We use Ibovespa, CAC, DAX, FTSE, NIKKEI and S&P500 indexes. We estimate the univariate distributions, the bi-variate distributions and the 6-dimensional distribution. Then, we asses...

Purpose The purpose of the paper is to back-test value-at-risk (VaR) models for conditional distributions belonging to a Generalized Hyperbolic (GH) family of Lévy processes – Variance Gamma, Normal Inverse Gaussian, Hyperbolic distribution and GH – and compare their risk-management...

We study the predictive power of option-implied moment risk premia embedded in theconventional variance risk premium. We find that while the second moment risk premiumpredicts market returns in short horizons with positive coefficients, the third (fourth)moment risk premium predicts market...

We examine short selling of equity exchange traded funds (ETFs) using the 2008 short-sale ban. Contrasting the previously documented contractions in bearish strategies during the ban, we find a significant increase in short sales of the largest, most liquid ETF, the S&P 500 Spider. We offer...