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Extreme risk in Asian equity markets
Author(s)
Date Issued
2007-02-29
Date Available
2009-12-02T15:08:59Z
Abstract
Extreme price movements associated with tail returns are catastrophic for all investors
and it is necessary to make accurate predictions of the severity of these events.
Choosing a time frame associated with large financial booms and crises this paper
investigates the tail behaviour of Asian equity market returns and quantifies two risk
measures, quantiles and average losses, along with their associated average waiting
periods. Extreme value theory using the Peaks over Threshold method generates the
risk measures where tail returns are modelled with a fat-tailed Generalised Pareto
Distribution. We find that lower tail risk measures are more severe than upper tail
realisations at the lowest probability levels. Moreover, the Kuala Lumpar Composite
exhibits the largest risk measures.
and it is necessary to make accurate predictions of the severity of these events.
Choosing a time frame associated with large financial booms and crises this paper
investigates the tail behaviour of Asian equity market returns and quantifies two risk
measures, quantiles and average losses, along with their associated average waiting
periods. Extreme value theory using the Peaks over Threshold method generates the
risk measures where tail returns are modelled with a fat-tailed Generalised Pareto
Distribution. We find that lower tail risk measures are more severe than upper tail
realisations at the lowest probability levels. Moreover, the Kuala Lumpar Composite
exhibits the largest risk measures.
External Notes
MPRA Paper No. 3536
Type of Material
Working Paper
Classification
G1
G10
Subject – LCSH
Risk
Extreme value theory
Stock exchanges--Asia
Web versions
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
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cotterj_workpap_pub_019.pdf
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Format
Adobe PDF
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