Recovery Risk in Credit Default Swap Premia [electronic resource] / by Timo Schläfer.
By: Schläfer, Timo [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookPublisher: Wiesbaden : Gabler, 2011Description: XIX, 112p. 21 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783834966667.Subject(s): Economics | Economics/Management Science | Operations Research/Decision TheoryDDC classification: 658.40301 Online resources: Click here to access online
In:
Springer eBooksSummary: The finance literature looks at a number of factors to explain risk premia in corporate debt, such as liquidity effects, jump-to-default risk, and contagion risk. Stochastic recovery rates as a source of systematic risk have not received much attention so far, most likely due to the difficulties around decomposing the expected loss. Timo Schläfer exploits the fact that differently-ranking debt instruments of the same issuer face identical default risk but different default-conditional recovery rates. He shows that this allows isolating recovery risk without any of the rigid assumptions employed by priors and implements his approach using credit default swap data.
The finance literature looks at a number of factors to explain risk premia in corporate debt, such as liquidity effects, jump-to-default risk, and contagion risk. Stochastic recovery rates as a source of systematic risk have not received much attention so far, most likely due to the difficulties around decomposing the expected loss. Timo Schläfer exploits the fact that differently-ranking debt instruments of the same issuer face identical default risk but different default-conditional recovery rates. He shows that this allows isolating recovery risk without any of the rigid assumptions employed by priors and implements his approach using credit default swap data.
There are no comments for this item.