Time-Changed Birth Processes and Multi-Name Credit Derivatives
By Kay Giesecke, Xiaowei Ding, Pascal I. Tomecek. 2008
68 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/0ed1b839e0ef1f5edf2e8318c7081baf51afac4f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- S. Azizpour
- M. Arnsdorf
- Kay Giesecke
- G. Schwenkler
- Igor Halperin
- Andrew J. Patton
- Justin A. Sirignano
- Rüdiger Frey
Citations in the corpus
- Exploring the sources of default clustering (2018, background): “Collin-Dufresne, Goldstein & Helwege (2009), Delloye, Fermanian & Sbai (2006), Duffie et al. (2009), Giampieri, Davis & Crowder (2005), Koopman, Lucas & Monteiro (2008), and others argue that it is often difficult to measure all relevant covariates V .”
- BSLP: Markovian Bivariate Spread-Loss Model for Portfolio Credit Derivatives (2008, background): “16 Note that the relation (21) expressing the portfolio loss intensity λs(t) as a product of the driving factor Yt and the contagion factors F (Nk, t) resembles the relation between the stochastic time change rate νt and the generator of the initial Markov chain for the default process in the model ”
- RECOVERING PORTFOLIO DEFAULT INTENSITIES IMPLIED BY CDO QUOTES (2013, unknown): “Default contagion can be incorporated in the model by introducing a dependence of the default intensity on the number of defaults.”
- Up and down credit risk (2010, unknown): “This decomposition is done by a method of random thinning formalized by Giesecke and Goldberg (2007) (see also Halperin and Tomecek 2008), which will be discussed in detail in section 3.”