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dc.creatorKamga, Merlin Kuate
dc.creatorWilde, Christian
dc.date.accessioned2021-09-28T09:30:34Z
dc.date.available2021-09-28T09:30:34Z
dc.date.issued2017-07-14
dc.identifier.urihttps://fif.hebis.de/xmlui/handle/123456789/2275
dc.description.abstractWe develop a state-space model to decompose bid and ask quotes of CDS into two components, fair default premium and liquidity premium. This approach gives a better estimate of the default premium than mid quotes, and it allows to disentangle and compare the liquidity premium earned by the protection buyer and the protection seller. In contrast to other studies, our model is structurally much simpler, while it also allows for correlation between liquidity and default premia, as supported by empirical evidence. The model is implemented and applied to a large data set of 118 CDS for a period ranging from 2004 to 2010. The model-generated output variables are analyzed in a difference-in-difference framework to determine how the default premium, as well as the liquidity premium of protection buyers and sellers, evolved during different periods of the financial crisis and to which extent they differ for financial institutions compared to non-financials.
dc.rightsAttribution-ShareAlike 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/
dc.subjectFinancial Markets
dc.subjectFinancial Institutions
dc.titleLiquidity Premia in CDS Markets
dc.typeWorking Paper
dcterms.referenceshttps://fif.hebis.de/xmlui/handle/123456789/1384?Datastream
dc.source.filename173_SSRN-id3005276
dc.identifier.safeno173
dc.subject.keywordscds
dc.subject.keywordsliquidity
dc.subject.jelC22
dc.subject.jelG12
dc.subject.topic1method
dc.subject.topic1turbulent
dc.subject.topic1log
dc.subject.topic2innovation
dc.subject.topic2european
dc.subject.topic2rating
dc.subject.topic3proportion
dc.subject.topic3period
dc.subject.topic3decompose
dc.subject.topic1nameConsumption
dc.subject.topic2nameFiscal Stability
dc.subject.topic3nameFinancial Markets
dc.identifier.doi10.2139/ssrn.3005276


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