random.numbers-methods

random.numbers

random.numbers,GCPM-method

this


Get the content of <code>random.numbers</code>, representing the sector drawings 
(see <code><a rd-options="" href="/link/init?package=GCPM&version=1.2.2" data-mini-rdoc="GCPM::init">init</a></code>)


methods

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.

Kevin Jakob

GCPM

Generalized Credit Portfolio Model

random.numbers-methods function


Get the content of <code>random.numbers</code>, representing the sector drawings 
(see <code><a rd-options='' href='init'>init</a></code>)


random.numbers-methods: Sector Drawings

Description

Usage

Arguments

Value

See Also