Moments of standardized Fernandez–Steel skewed distributions: Applications to the estimation of GARCH-type models

We provide general expressions for obtaining raw, absolute and conditional moments for a standardized version of the class of skewed distributions proposed by Fernandez and Steel (1998). We show that these expressions are readily programmable in addition of greatly reducing the computational cost. W...

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Veröffentlicht in:Finance research letters 2016-08, Vol.18, p.311-316
Hauptverfasser: Trottier, Denis-Alexandre, Ardia, David
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container_title Finance research letters
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creator Trottier, Denis-Alexandre
Ardia, David
description We provide general expressions for obtaining raw, absolute and conditional moments for a standardized version of the class of skewed distributions proposed by Fernandez and Steel (1998). We show that these expressions are readily programmable in addition of greatly reducing the computational cost. We discuss several applications that are relevant for the purpose of estimating asymmetric conditional volatility models under skewed distributions.
doi_str_mv 10.1016/j.frl.2016.05.006
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source ScienceDirect Journals (5 years ago - present)
subjects Asymmetric GARCH
Backtesting
Bayesian
Cost reduction
Maximum likelihood
Probability distribution
Skewness
Stochastic models
Studies
Volatility
title Moments of standardized Fernandez–Steel skewed distributions: Applications to the estimation of GARCH-type models
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