Extreme Risk in Asian Equity Markets
SSRN Electronic Journal
2007
- 2Citations
- 1,848Usage
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
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.
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