Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis

This paper uses four asymmetric GARCH models, which are GJR-GARCH, NA-GARCH, T-GARCH, and AV-GARCH to compare their performance on VaR forecasting to the symmetric GARCH model. In addition, we adopt four different mean equations which are ARMA(1,1), AR(1), MA(1), and “in-mean” to find out a more ap...

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Main Authors: Han Ching Huang, Yong-Chern Su, Jen-Tien Tsui
Format: Article
Language:English
Published: EconJournals 2015-04-01
Series:International Journal of Economics and Financial Issues
Online Access:https://econjournals.com/index.php/ijefi/article/view/1070
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author Han Ching Huang
Yong-Chern Su
Jen-Tien Tsui
author_facet Han Ching Huang
Yong-Chern Su
Jen-Tien Tsui
author_sort Han Ching Huang
collection DOAJ
description This paper uses four asymmetric GARCH models, which are GJR-GARCH, NA-GARCH, T-GARCH, and AV-GARCH to compare their performance on VaR forecasting to the symmetric GARCH model. In addition, we adopt four different mean equations which are ARMA(1,1), AR(1), MA(1), and “in-mean” to find out a more appropriate GARCH method in estimating VaR of MSCI World Index in financial crisis. We pick up 900 daily information of MSCI World Index from 2006 to 2009.We find that GARCHM(1,1) in mean, MA-GARCHM(1,1), AR(1)-T-GARCHM(1,1), and ARMA(1,1)-T-GARCHM(1,1) outperform other models in terms of number of violations. ARMA(1,1)-T-GARCHM(1,1) performs the best in terms of mean violation range, mean violation percentage, aggregate violation range, aggregate violation percentage, and max violation range. Other than T-GARCH models, number of violations decrease by using in-mean or MA(1) mean equation. Generally speaking, the better the performance in terms of violation, the larger the capital requirement is needed. Keywords: market risk; value-at-risk; GARCH; MSCI; financial crisis JEL Classification: G2; G21
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spelling doaj.art-4aa99b3868e64906997776e361403da62023-02-15T16:17:22ZengEconJournalsInternational Journal of Economics and Financial Issues2146-41382015-04-0152Asymmetric GARCH Value-at-Risk over MSCI in Financial CrisisHan Ching Huang0Yong-Chern SuJen-Tien TsuiChung Yuan Christian University This paper uses four asymmetric GARCH models, which are GJR-GARCH, NA-GARCH, T-GARCH, and AV-GARCH to compare their performance on VaR forecasting to the symmetric GARCH model. In addition, we adopt four different mean equations which are ARMA(1,1), AR(1), MA(1), and “in-mean” to find out a more appropriate GARCH method in estimating VaR of MSCI World Index in financial crisis. We pick up 900 daily information of MSCI World Index from 2006 to 2009.We find that GARCHM(1,1) in mean, MA-GARCHM(1,1), AR(1)-T-GARCHM(1,1), and ARMA(1,1)-T-GARCHM(1,1) outperform other models in terms of number of violations. ARMA(1,1)-T-GARCHM(1,1) performs the best in terms of mean violation range, mean violation percentage, aggregate violation range, aggregate violation percentage, and max violation range. Other than T-GARCH models, number of violations decrease by using in-mean or MA(1) mean equation. Generally speaking, the better the performance in terms of violation, the larger the capital requirement is needed. Keywords: market risk; value-at-risk; GARCH; MSCI; financial crisis JEL Classification: G2; G21 https://econjournals.com/index.php/ijefi/article/view/1070
spellingShingle Han Ching Huang
Yong-Chern Su
Jen-Tien Tsui
Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis
International Journal of Economics and Financial Issues
title Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis
title_full Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis
title_fullStr Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis
title_full_unstemmed Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis
title_short Asymmetric GARCH Value-at-Risk over MSCI in Financial Crisis
title_sort asymmetric garch value at risk over msci in financial crisis
url https://econjournals.com/index.php/ijefi/article/view/1070
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AT yongchernsu asymmetricgarchvalueatriskovermsciinfinancialcrisis
AT jentientsui asymmetricgarchvalueatriskovermsciinfinancialcrisis