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dc.contributor.authorGerlach, Richard
dc.contributor.authorChen, Qian
dc.date.accessioned2012-03-09
dc.date.available2012-03-09
dc.date.issued2011-01-01
dc.identifier.urihttp://hdl.handle.net/2123/8163
dc.description.abstractA two-sided Weibull is developed to model the conditional financial return distribution, for the purpose of forecasting Value at Risk (VaR) and conditional VaR. A range of conditional return distributions are combined with four volatility specifications to forecast tail risk in four international markets, two exchange rates and one individual asset series, over a four year forecast period that includes the recent global financial crisis. The two-sided Weibull performs at least as well as other distributions for VaR forecasting, but performs most favourably for conditional Value at Risk forecasting, prior to as well as during and after the recent crisis.en_AU
dc.language.isoenen_AU
dc.publisherBusiness Analyticsen_AU
dc.relation.ispartofseriesBAWP-2011-01en_AU
dc.subjectTwo-sided Weibullen_AU
dc.subjectValue-at-Risken_AU
dc.subjectExpected shortfallen_AU
dc.subjectBack-testingen_AU
dc.subjectglobal financial crisisen_AU
dc.subjectvolatilityen_AU
dc.titleThe Two-sided Weibull Distribution and Forecasting Financial Tail Risken_AU
dc.typeWorking Paperen_AU
dc.contributor.departmentDiscipline of Business Analyticsen_AU


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