A maximum entropy approach to the loss data aggregation problem
| Year of publication: |
March 2016
|
|---|---|
| Authors: | Gomes-Gonçalves, Erika ; Gzyl, Henryk ; Mayoral, Silvia |
| Published in: |
The journal of operational risk. - London : Infopro Digital, ISSN 1744-6740, ZDB-ID 2238989-1. - Vol. 11.2016, 1, p. 49-70
|
| Subject: | loss data analysis | loss aggregation | maximum entropy method | density reconstruction | regulatory capital | operational risk | Entropie | Entropy | Theorie | Theory | Operationelles Risiko | Operational risk | Aggregation | Bankrisiko | Bank risk | Basler Akkord | Basel Accord | Verlust | Loss |
-
Modeling multivariate operational losses via copula-based distributions with g-and-h marginals
Bee, Marco, (2022)
-
Risk capital reserve and measurement precision in modeling heavy-tailed single operational losses
Mo, Jianming, (2020)
-
Arratia, Argimiro, (2024)
- More ...
-
Two Maxentropic Approaches to Determine the Probability Density of Compound Risk Losses
Gomes-Gonçalves, Erika, (2019)
-
A Maximum Entropy Approach to the Loss Data Aggregation Problem
Gomes-Gonçalves, Erika, (2018)
-
Gomes-Gonçalves, Erika, (2018)
- More ...