2013
DOI: 10.1016/j.jimonfin.2012.08.004
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Marking-to-market government guarantees to financial systems – Theory and evidence for Europe

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Cited by 12 publications
(15 citation statements)
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“…. , d}, denote 2 d−1 independent real-valued random variables whose distribution functions depend only on the cardinality of E. More precisely, we show that (a) any random vector X defined by (2) with continuous marginal distributions has a (unique) copula of type (1) and that (b) any copula of the form (1) represents the distribution function of a random vector X that can be constructed as in (2). Put differently, as the copula of a random vector X is the survival copula of −X, copulas of type (1) characterize precisely the set of survival copulas of random vectors (X 1 , .…”
Section: Introductionmentioning
confidence: 95%
“…. , d}, denote 2 d−1 independent real-valued random variables whose distribution functions depend only on the cardinality of E. More precisely, we show that (a) any random vector X defined by (2) with continuous marginal distributions has a (unique) copula of type (1) and that (b) any copula of the form (1) represents the distribution function of a random vector X that can be constructed as in (2). Put differently, as the copula of a random vector X is the survival copula of −X, copulas of type (1) characterize precisely the set of survival copulas of random vectors (X 1 , .…”
Section: Introductionmentioning
confidence: 95%
“…The main methodological differences between this paper and the previous works [3] and [4] are that we do not assume parametric distributions for the marginal default probabilities. We mainly focus our attention on the dependence structure and the impact of the systematic component on cross-border systemic risk.…”
Section: Literature Reviewmentioning
confidence: 96%
“…There is a limited literature on the use of the MO copula for modelling systemic risk. [3] propose a new financial stability index (named Cuadras and Augé index) to measure the fragility of the banking sector in a given country. Time to failure for a bank is assumed to follow an exponential distribution.…”
Section: Literature Reviewmentioning
confidence: 99%
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