Financial risk evaluations in Malaysian Stock Exchange using extreme-value theory and component-ARCH Model

This study investigates the value-at-risk (VaR) using nonlinear time-varying volatility (ARCH model) and extreme-value-theory (EVT) methodologies. Similar VaR estimation and prediction are observes under the EVT and heavy-tailed long-memory ARCH approaches. The empirical results evidence the EVT-bas...

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Main Authors: Chin, Wen Cheong, Zaidi Isa, Abu Hassan Shaari Mohd Nor
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2009
Online Access:http://journalarticle.ukm.my/40/
http://journalarticle.ukm.my/40/1/
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author Chin, Wen Cheong
Zaidi Isa,
Abu Hassan Shaari Mohd Nor,
author_facet Chin, Wen Cheong
Zaidi Isa,
Abu Hassan Shaari Mohd Nor,
author_sort Chin, Wen Cheong
building UKM Institutional Repository
collection Online Access
description This study investigates the value-at-risk (VaR) using nonlinear time-varying volatility (ARCH model) and extreme-value-theory (EVT) methodologies. Similar VaR estimation and prediction are observes under the EVT and heavy-tailed long-memory ARCH approaches. The empirical results evidence the EVT-based VaR are more accurate but only at higher quantiles. It is also found that EVT approach is able to provide a convenient framework for asymmetric properties in both the lower and upper tails which implies that the risk and reward are not equally likely for the short- and long-trading positions in Malaysian stock market.
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spelling ukm-402016-12-14T06:26:13Z http://journalarticle.ukm.my/40/ Financial risk evaluations in Malaysian Stock Exchange using extreme-value theory and component-ARCH Model Chin, Wen Cheong Zaidi Isa, Abu Hassan Shaari Mohd Nor, This study investigates the value-at-risk (VaR) using nonlinear time-varying volatility (ARCH model) and extreme-value-theory (EVT) methodologies. Similar VaR estimation and prediction are observes under the EVT and heavy-tailed long-memory ARCH approaches. The empirical results evidence the EVT-based VaR are more accurate but only at higher quantiles. It is also found that EVT approach is able to provide a convenient framework for asymmetric properties in both the lower and upper tails which implies that the risk and reward are not equally likely for the short- and long-trading positions in Malaysian stock market. Universiti Kebangsaan Malaysia 2009-08 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/40/1/ Chin, Wen Cheong and Zaidi Isa, and Abu Hassan Shaari Mohd Nor, (2009) Financial risk evaluations in Malaysian Stock Exchange using extreme-value theory and component-ARCH Model. Sains Malaysiana, 38 (4). pp. 567-575. ISSN 0126-6039 http://www.ukm.my/~jsm/kandungan.html
spellingShingle Chin, Wen Cheong
Zaidi Isa,
Abu Hassan Shaari Mohd Nor,
Financial risk evaluations in Malaysian Stock Exchange using extreme-value theory and component-ARCH Model
title Financial risk evaluations in Malaysian Stock Exchange using extreme-value theory and component-ARCH Model
title_full Financial risk evaluations in Malaysian Stock Exchange using extreme-value theory and component-ARCH Model
title_fullStr Financial risk evaluations in Malaysian Stock Exchange using extreme-value theory and component-ARCH Model
title_full_unstemmed Financial risk evaluations in Malaysian Stock Exchange using extreme-value theory and component-ARCH Model
title_short Financial risk evaluations in Malaysian Stock Exchange using extreme-value theory and component-ARCH Model
title_sort financial risk evaluations in malaysian stock exchange using extreme-value theory and component-arch model
url http://journalarticle.ukm.my/40/
http://journalarticle.ukm.my/40/
http://journalarticle.ukm.my/40/1/