Model selection based on value-at-risk backtests approach for GARCH-type models

This paper aims to investigate the efficiency of the value-at-risk (VaR) backtests in the model selection from different types of generalised autoregressive conditional heteroskedasticity (GARCH) models with skewed and non-skewed innovation distributions. Extensive simulation is carried out to compa...

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Bibliographic Details
Main Author: Koh, You Beng
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:http://eprints.um.edu.my/22371/1/koh%20you%20beng.pdf
http://eprints.um.edu.my/22371/
http://www.isi2019.org/
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Institution: Universiti Malaya
Language: English
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