//--> //--> //--> //-->
Toggle navigation
Logout
Change account settings
EN
DE
ES
FR
A-Z
Beta
About EconBiz
News
Thesaurus (STW)
Research Skills
Help
EN
DE
ES
FR
My account
Logout
Change account settings
Login
Publications
Events
Your search terms
Search
Retain my current filters
~subject:"Credit risk"
Search options
All Fields
Title
Exact title
Subject
Author
Institution
ISBN/ISSN
Published in...
Publisher
Open Access only
Advanced
Search history
My EconBiz
Favorites
Loans
Reservations
Fines
You are here:
Home
Search: subject:"Random Forest"
Narrow search
Delete all filters
| 1 applied filter
Year of publication
From:
To:
Subject
All
Credit risk
random forest
193
Artificial intelligence
146
Künstliche Intelligenz
146
Forecasting model
141
Prognoseverfahren
141
Random forest
114
Random Forest
78
machine learning
68
Theorie
67
Theory
67
Machine learning
62
Forestry
51
Forstwirtschaft
51
Neural networks
47
Neuronale Netze
47
Data Mining
33
Data mining
32
Regression analysis
28
Regressionsanalyse
28
Mustererkennung
27
Pattern recognition
27
Machine Learning
24
Forecast
20
Classification
19
Decision tree
19
Prognose
19
decision tree
18
Coronavirus
17
Insolvency
16
Börsenkurs
15
Entscheidungsbaum
15
Insolvenz
15
Share price
15
Capital income
14
Estimation
14
Kapitaleinkommen
14
Klassifikation
14
Kreditrisiko
14
Logistic regression
14
more ...
less ...
Online availability
All
Undetermined
8
Free
6
Type of publication
All
Article
11
Book / Working Paper
3
Type of publication (narrower categories)
All
Article in journal
11
Aufsatz in Zeitschrift
11
Arbeitspapier
2
Graue Literatur
2
Non-commercial literature
2
Working Paper
2
Hochschulschrift
1
more ...
less ...
Language
All
English
14
Author
All
Bitetto, Alessandro
2
Filomeni, Stefano
2
Altman, Edward I.
1
Barboza, Flavio Luiz de Moraes
1
Behr, Andreas
1
Cai, Fei
1
Cerchiello, Paola
1
Chen, Shunqin
1
Costa, Magali
1
Cuadros-Solas, Pedro Jesús
1
Gameiro, Ana
1
Guo, Zhengfeng
1
Hamori, Shigeyuki
1
Heger, Julia
1
Jin, Zi
1
Kawai, Minami
1
Krasovytskyi, Danylo
1
Kume, Takahiro
1
Lisboa, Inês Margarida
1
Miller, Patrick
1
Min, Aleksey
1
Modina, Michele
1
Murakami, Yuji
1
Ouyang, Yao
1
Popovych, Bohdan
1
Salvador, Carlos
1
Stavytskyy, Andriy
1
Sun, Han Sheng
1
Tanda, Alessandra
1
Tang, Lingxiao
1
Tarantino, Barbara
1
Töws, Eugen
1
Watanabe, Chikara
1
Weinblat, Jurij
1
Zagst, Rudi
1
Zhao, Xinlei
1
more ...
less ...
Published in...
All
DEM working paper series
2
Applied economics letters
1
BestMasters
1
European journal of operational research : EJOR
1
International review of financial analysis
1
Journal of banking & finance
1
Journal of risk and financial management : JRFM
1
Journal of risk finance : the convergence of financial products and insurance
1
Mokslo darbai / Vilniaus Universitetas
1
Risks : open access journal
1
Technological forecasting & social change : an international journal
1
The North American journal of economics and finance : a journal of theory and practice
1
The journal of credit risk : published quarterly by Incisive Media
1
more ...
less ...
Source
All
ECONIS (ZBW)
14
Showing
1
-
10
of
14
Sort
relevance
articles prioritized
date (newest first)
date (oldest first)
1
Predicting mortgage loan defaults using machine learning techniques
Krasovytskyi, Danylo
;
Stavytskyy, Andriy
- In:
Mokslo darbai / Vilniaus Universitetas
103
(
2024
)
2
,
pp. 140-160
oversampling technique and compared the results. It was found that
random
forest
and extreme gradient-boosting decision trees are …
Persistent link: https://www.econbiz.de/10015047688
Saved in:
2
Analyzing credit spread changes using explainable artificial intelligence
Heger, Julia
;
Min, Aleksey
;
Zagst, Rudi
- In:
International review of financial analysis
94
(
2024
),
pp. 1-17
Persistent link: https://www.econbiz.de/10014543984
Saved in:
3
Is the financial report quality important in the default prediction? : SME Portuguese construction sector evidence
Costa, Magali
;
Lisboa, Inês Margarida
;
Gameiro, Ana
- In:
Risks : open access journal
10
(
2022
)
5
,
pp. 1-24
“new age” classifiers, namely the
random
forest
methodology. This work is not only relevant to the extant financial …
Persistent link: https://www.econbiz.de/10013359003
Saved in:
4
Predicting financial distress in Latin American companies : a comparative analysis of logistic regression and
random
forest
models
Barboza, Flavio Luiz de Moraes
;
Altman, Edward I.
- In:
The North American journal of economics and finance : a …
72
(
2024
),
pp. 1-14
Persistent link: https://www.econbiz.de/10014534855
Saved in:
5
Machine learning and credit risk : empirical evidence from SMEs
Bitetto, Alessandro
;
Cerchiello, Paola
;
Filomeni, Stefano
; …
-
2021
Persistent link: https://www.econbiz.de/10012887627
Saved in:
6
Understanding corporate default using
Random
Forest
: the role of accounting and market information
Bitetto, Alessandro
;
Filomeni, Stefano
;
Modina, Michele
-
2021
Persistent link: https://www.econbiz.de/10012887215
Saved in:
7
Application of AI in credit scoring modeling
Popovych, Bohdan
-
2022
based on retail borrowers' features. The comparison of logistic regression, decision tree, and
random
forest
showed that …, it was demonstrated how
random
forest
and decision tree models were more sensitive in detecting default borrowers. About …
Persistent link: https://www.econbiz.de/10013465855
Saved in:
8
Ensemble learning or deep learning? : application to default risk analysis
Hamori, Shigeyuki
;
Kawai, Minami
;
Kume, Takahiro
; …
- In:
Journal of risk and financial management : JRFM
11
(
2018
)
1
,
pp. 1-14
three ensemble-learning methods-specifically, bagging,
random
forest
, and boosting-with those of various neural …
Persistent link: https://www.econbiz.de/10011855150
Saved in:
9
Potential spillovers from the banking sector to sovereign credit ratings
Cuadros-Solas, Pedro Jesús
;
Salvador, Carlos
- In:
Applied economics letters
28
(
2021
)
12
,
pp. 1046-1052
Persistent link: https://www.econbiz.de/10012589742
Saved in:
10
Predicting mortgage early delinquency with machine learning methods
Chen, Shunqin
;
Guo, Zhengfeng
;
Zhao, Xinlei
- In:
European journal of operational research : EJOR
290
(
2021
)
1
,
pp. 358-372
Persistent link: https://www.econbiz.de/10012436411
Saved in:
1
2
Next
Last
Results per page
10
25
50
100
250
A service of the
zbw
×
Loading...
//-->