2010
DOI: 10.21314/jcr.2010.112
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The valuation of correlation-dependent credit derivatives using a structural model

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Cited by 46 publications
(43 citation statements)
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“…In practice, a default is announced on a daily basis, as Fang et al (2010) argue. In order to make models computationally more tractable, some studies, eg, Hull et al (2010) and Bush et al (2011), assume that default is detected only on spread payment dates. We follow this line and thus assume that defaults are monitored quarterly.…”
Section: Continuous Vs Discrete Default Monitoringmentioning
confidence: 99%
See 1 more Smart Citation
“…In practice, a default is announced on a daily basis, as Fang et al (2010) argue. In order to make models computationally more tractable, some studies, eg, Hull et al (2010) and Bush et al (2011), assume that default is detected only on spread payment dates. We follow this line and thus assume that defaults are monitored quarterly.…”
Section: Continuous Vs Discrete Default Monitoringmentioning
confidence: 99%
“…M , N and Y represent global factors that affect the default environment of all companies. As Hull et al (2010) note, such a global factor could be for instance the S&P 500 index. Other candidates could be Gross Domestic Product, or more specifically investment spending, central bank interest rates or the unemployment rate, since they indicate the phase of the business cycle of the economy.…”
Section: The Model Setupmentioning
confidence: 99%
“…Hull et al (2005) A follows a non-negative diffusion process under the historical probability measure P , i.e., denotes the threshold associated with firm i . In that structural model, dependence between default times stems from the correlation between the asset values.…”
Section: I8 Hedging Credit Portfolio Derivatives In Multivariate Strmentioning
confidence: 99%
“…An open question would be to study such alternative structural models, and to exhibit the spread dynamics that would be consistent with a "perfect" replication. Since multivariate extensions of First-hitting time models are very complicated in analytic terms (Zhou 2001, Hull et al 2006), this avenue is left for further research.…”
Section: A Bridge Towards Structural Modelsmentioning
confidence: 99%