Predicting loss distributions for small-size defaulted-debt portfolios using a convolution technique that allows probability masses to occur at boundary points
| Year of publication: |
2019
|
|---|---|
| Authors: | Chu, Chih-Kang ; Hwang, Ruey-Ching |
| Published in: |
Journal of financial services research : JFSR. - Dordrecht [u.a.] : Springer Science + Business Media Inc., ISSN 0920-8550, ZDB-ID 1027136-3. - Vol. 56.2019, 1, p. 95-117
|
| Subject: | Central limit theorem | Conditional independence | Convolution | Defaulted-debt portfolio | Loss given default distribution | Unconditional distribution | Statistische Verteilung | Statistical distribution | Portfolio-Management | Portfolio selection | Theorie | Theory | Wahrscheinlichkeitsrechnung | Probability theory | Kreditrisiko | Credit risk | Risikomaß | Risk measure | Prognoseverfahren | Forecasting model |
-
Yang, Bill Huajian, (2020)
-
Multiple risk factor dependence structures : distributional properties
Su, Jianxi, (2017)
-
Tail behavior of credit loss distributions for general latent factor models
Lucas, André, (2001)
- More ...
-
Hwang, Ruey-Ching, (2021)
-
A logistic regression point of view toward loss given default distribution estimation
Hwang, Ruey-Ching, (2018)
-
Forecasting forward defaults with the discrete-time hazard model
Hwang, Ruey-ching, (2014)
- More ...