Credit Exposure Simulation
Credit Exposure Simulation is a computational methodology within counterparty credit risk analysis that quantifies potential future exposure by simulating the stochastic evolution of market variables and corresponding portfolio values over time under various scenarios.
21
Publications
459
Citations
30
Authors
19
Institutions
Publications per year
2017–2026
3
Parents
21
A Guide to Modeling Counterparty Credit Risk
Steven H. Zhu, Michael Pykhtin · 2008 · 109 citations
Business, Finance, Risk Management +17
An Integrated Market and Credit Risk Portfolio Model
Ian Iscoe, Alex Kreinin, Dan Rosén · 1999 · 45 citations
Business, Finance, Risk Management +17
1–5 of 21
30
7
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 30
19
Federal Reserve Board of Governors
Washington D.C., United States
6 h-index
6 publications
197 citations
Federal Reserve
Washington D.C., United States
6 h-index
6 publications
197 citations
Bank of America
Charlotte, United States
3 h-index
3 publications
147 citations
Overlook Medical Center
Summit, United States
2 h-index
2 publications
38 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
4 publications
49 citations

Lund University
Lund, Sweden
1 h-index
1 publications
16 citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
1 h-index
1 publications
16 citations
Utrecht University
Utrecht, The Netherlands
1 h-index
1 publications
10 citations
1–8 of 19
Repository · 8 publications · 135 citations
8
h-index
4 publications · 84 citations
4
h-index
1 publications · 42 citations
1
h-index
1 publications · 10 citations
1
h-index
1 publications · 16 citations
1
h-index
1–5