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Fitting Survival Probability Models 1.0

  Date Added: June 29, 2013  |  Visits: 314

Fitting Survival Probability Models

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This is a MATLAB(R) implementation of the ideas discussed in Lopez-Calva, G. and K. Shea, "Fitting Survival Probability Models," WILMOTT Magazine, issue 45, pp. 16-22.We estimate the parameters of three different survival probability models based on credit default swap (CDS) spreads. The parameters of the models are fitted using a nonlinear least-squares solver. For the standard model, a bootstrapping technique is also implemented, for comparisons. The mark-to-market (MtM) of an existing CDS contract is also calculated under the three alternative survival models. Code for a general survival model is provided, though it is not used in the main demo.Dependencies: This demo uses functionality from the Financial Toolbox(TM), Fixed-Income Toolbox(TM) and Optimization Toolbox(TM).

Requirements: No special requirements
Platforms: Matlab
Keyword: Bootstrapping Comparisons Contract Existing Implemented Leastsquares Marktomarket Solver Standard Technique
Users rating: 0/10

License: Shareware Size: 10 KB
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