Analyze the default risk of credit portfolios. Commonly known models,
like CreditRisk+ or the CreditMetrics model are implemented in their very basic settings.
The portfolio loss distribution can be achieved either by simulation or analytically
in case of the classic CreditRisk+ model. Models are only implemented to respect losses
caused by defaults, i.e. migration risk is not included. The package structure is kept
flexible especially with respect to distributional assumptions in order to quantify the
sensitivity of risk figures with respect to several assumptions. Therefore the package
can be used to determine the credit risk of a given portfolio as well as to quantify
model sensitivities.

Generalized Credit Portfolio Model

package-ubuntu-20.04-r-4.0.5#cran#GCPM-1.2.2

<p>Get the expected loss (EL) calculated from the portfolio data. Because of the
discretization and/or simulation errors, this is not equal to the EL calculated
from the portfolio loss distribution (see <code><a href="EL-methods.html">EL</a></code>).
</p>

<table summary="R argblock"><tr valign="top">
<td><code>this</code></td>
<td>
<p>Object of class <code>GCPM</code></p>
</td>
</tr></table>

package-ubuntu-20.04-r-4.0.5#cran#GCPM-1.2.2#docs#EL.analyt-methods

EL.analyt-methods

Description

Usage

Arguments

Value

See Also

GCPM

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