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dc.creatorCaporin, Massimiliano
dc.creatorKolokolov, Alexey
dc.creatorRenò, Roberto
dc.date.accessioned2021-09-28T09:28:22Z
dc.date.available2021-09-28T09:28:22Z
dc.date.issued2016-10-10
dc.identifier.urihttps://fif.hebis.de/xmlui/handle/123456789/2250
dc.description.abstractThe simultaneous occurrence of jumps in several stocks can be associated with major financial news, triggers short-term predictability in stock returns, is correlated with sudden spikes of the variance risk premium, and determines a persistent increase (decrease) of stock variances and correlations when they come along with bad (good) news. These systemic events and their implications can be easily overlooked by traditional univariate jump statistics applied to stock indices. They are instead revealed in a clearly cut way by using a novel test procedure applied to individual assets, which is particularly effective on high-volume stocks.
dc.rightsAttribution-ShareAlike 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/
dc.subjectFinancial Markets
dc.subjectSystemic Risk Lab
dc.titleSystemic Co-Jumps
dc.typeWorking Paper
dcterms.referenceshttps://fif.hebis.de/xmlui/handle/123456789/1445?Kibot
dc.source.filename149_SSRN-id2851811
dc.identifier.safeno149
dc.subject.keywordsjumps
dc.subject.keywordsreturn predictability
dc.subject.keywordssystemic events
dc.subject.keywordsvariance risk premium
dc.subject.jelC58
dc.subject.jelG11
dc.subject.jelC14
dc.subject.topic1systemic
dc.subject.topic1cash
dc.subject.topic1subsection
dc.subject.topic2nonRobust
dc.subject.topic2clear
dc.subject.topic2stock
dc.subject.topic3scatter
dc.subject.topic3negative
dc.subject.topic3create
dc.subject.topic1nameTrading and Pricing
dc.subject.topic2nameConsumption
dc.subject.topic3nameSaving and Borrowing
dc.identifier.doi10.2139/ssrn.2851811


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