A latent variable credit risk model comprising nonlinear dependencies in a sector framework with a stochastically dependent loss given default
Year of publication: |
2017
|
---|---|
Authors: | Maciag, Jakob ; Löderbusch, Matthias |
Published in: |
The journal of credit risk : published quarterly by Incisive Media. - London : Infopro Digital, ISSN 1744-6619, ZDB-ID 2170422-3. - Vol. 13.2017, 4, p. 37-74
|
Subject: | copula | nested copula | sector-type credit portfolio models | credit risk | stochastic loss given default (LGD) | Theorie | Theory | Kreditrisiko | Credit risk | Multivariate Verteilung | Multivariate distribution | Stochastischer Prozess | Stochastic process | Portfolio-Management | Portfolio selection | Basler Akkord | Basel Accord | Risikomaß | Risk measure | Statistische Verteilung | Statistical distribution | Kreditgeschäft | Bank lending |
-
Estimating portfolio credit losses in downturns
Moreira, Fernando, (2015)
-
Comparing risk measures when aggregating market risk and credit risk using different copulas
Maciag, Jakob, (2016)
-
Modeling diversification and spillovers of loan portfolios' losses by LHP approximation and copula
Lee, Yong Woong, (2019)
- More ...
-
Stochastic loss given default and exposure at default in a structural model of portfolio credit risk
Kaposty, Florian, (2017)
-
Jahn, Nadya, (2015)
-
Jahn, Nadya, (2015)
- More ...