Using cutting-edge tree-based stochastic models to predict credit risk
Year of publication: |
June 2018
|
---|---|
Authors: | Halteh, Khaled ; Kumar, Kuldeep ; Gepp, Adrian |
Published in: |
Risks : open access journal. - Basel : MDPI, ISSN 2227-9091, ZDB-ID 2704357-5. - Vol. 6.2018, 2, p. 1-13
|
Subject: | credit risk | prediction | financial distress | insolvency risk | tree-based stochastic models | mining sector | Insolvenz | Insolvency | Kreditrisiko | Credit risk | Prognoseverfahren | Forecasting model | Stochastischer Prozess | Stochastic process | Theorie | Theory | Bergbau | Mining | Risikomanagement | Risk management |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3390/risks6020055 [DOI] hdl:10419/195847 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Bankcruptcy prediction model used in credit risk management
Rankov, Siniša, (2013)
-
Using cutting-edge tree-based stochastic models to predict credit risk
Halteh, Khaled, (2018)
-
Alrasheedy, Abdulelah, (2020)
- More ...
-
Using cutting-edge tree-based stochastic models to predict credit risk
Halteh, Khaled, (2018)
-
Financial distress prediction of Islamic banks using tree-based stochastic techniques
Halteh, Khaled, (2018)
-
Gepp, Adrian, (2024)
- More ...