CCruncher is a project for quantifying portfolio credit risk using the copula approach. It is a framework consisting of two elements: a technical document that explains the theory, and a software program that implements it. CCruncher evaluates the portfolio credit risk by sampling the portfolio loss distribution and computing the Expected Loss (EL), Value at Risk (VaR), and Expected Shortfall (ES) statistics. The portfolio losses are obtained simulating the default times of obligors and simulating the EADs and LGDs of their assets.
|Tags||Financial Scientific/Engineering Mathematics|
|Operating Systems||Mac OS X Windows Windows POSIX Linux|
This release improves the technical document by reorganizing the content and adding a discussion about portfolio optimization. The program adds a h...
Release Notes: This release embeds fonts in PDF technical documents because some users reported visualization/printing problems.
Release Notes: This release improves the technical document by reorganizing the content and adding a discussion about portfolio optimization. The program adds a header with information in the output files and computes the averaged exposure for each segment. The parameter 'OnlyActiveObligors' has been removed from the input file.
Release Notes: This release adds a new technical document, which was rewritten from scratch. Risk disaggregation was added to the risk analysis. Minor changes were made to the input file format.
Release Notes: This release adds support for the Latin Hypercube Sampling method, increases overall program speed by a factor of 2-5, and solves a bug in the aggregation procedure.
Release Notes: This release improves simulation accuracy, makes some minor changes to the input file format, and adds a new graphic interface. This UI allows editing the input files, submitting Monte Carlo simulations, and conducting credit risk analysis.