Arbeitspapier
New recipes for estimating default intensities
This paper presents a new approach to deriving default intensities from CDS or bond spreads that yields smooth intensity curves required e.g. for pricing or risk management purposes. Assuming continuous premium or coupon payments, the default intensity can be obtained by solving an integral equation (Volterra equation of 2nd kind). This integral equation is shown to be equivalent to an ordinary linear differential equation of 2nd order with time dependent coefficients, which is numerically much easier to handle. For the special case of Nelson Siegel CDS term structure models, the problem permits a fully analytical solution. A very good and at the same time simple approximation to this analytical solution is derived, which serves as a recipe for easy implementation. Finally, it is shown how the new approach can be employed to estimate stochastic term structure models like the CIR model.
- Language
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Englisch
- Bibliographic citation
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Series: SFB 649 Discussion Paper ; No. 2009,004
- Classification
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Wirtschaft
Estimation: General
Single Equation Models; Single Variables: General
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- Subject
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CDS spreads
bond spreads
default intensity
credit derivatives pricing
spread risk modelling
credit risk modelling
loan book valuation
CIR model
Kreditsicherung
Securitization
Risikoprämie
Zinsstruktur
Kreditrisiko
Optionspreistheorie
Analysis
Theorie
- Event
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Geistige Schöpfung
- (who)
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Baranovski, Alexander
von Lieres und Wilkau, Carsten
Wilch, André
- Event
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Veröffentlichung
- (who)
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Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
- (where)
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Berlin
- (when)
-
2009
- Handle
- Last update
- 10.03.2025, 11:43 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Baranovski, Alexander
- von Lieres und Wilkau, Carsten
- Wilch, André
- Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
Time of origin
- 2009