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Year of publication
Subject
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Global Credit Data 8 Credit risk 5 Kreditrisiko 5 Theorie 4 Theory 4 credit risk 3 Company cure 2 Credit rating 2 Cure probability 2 Forecasting model 2 Global Credit Data (GCD) 2 Insolvency 2 Insolvenz 2 Kreditwürdigkeit 2 LGD 2 LGD Distributions 2 Loss given default 2 Machine Learning 2 Markov switching model 2 Parameter Estimation 2 Probability theory 2 Prognoseverfahren 2 Risk Management 2 Wahrscheinlichkeitsrechnung 2 dynamic factor model 2 model performance 2 pooled data 2 recovery rate 2 regression model 2 regulation 2 representativeness 2 Artificial intelligence 1 Bank lending 1 Bank regulation 1 Bank risk 1 Bankenregulierung 1 Bankrisiko 1 Basel Accord 1 Basler Akkord 1 Business cycle 1
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Online availability
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Free 11 CC license 2
Type of publication
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Article 11
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Article 5
Language
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English 11
Author
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Lohmann, Christian 3 Ohliger, Thorsten 3 Gürtler, Marc 2 Höcht, Stephan 2 Kruger, Chamay 2 Schutte, Wille Daniel 2 Verster, Tanja 2 Wieczorek, Jakub 2 Zagst, Rudi 2 Zöllner, Marvin 2 Betz, Jennifer 1 Hartmann-Wendels, Thomas 1 Imanto, Christopher Paulus 1 Nagl, Maximilian 1 Rösch, Daniel 1
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Published in...
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Research in international business and finance 2 Risks 2 Risks : open access journal 2 European Financial Management 1 Journal of the Operational Research Society 1 Journal of the Royal Statistical Society: Series A (Statistics in Society) 1 OR Spectrum 1 OR spectrum : quantitative approaches in management 1
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Source
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ECONIS (ZBW) 6 EconStor 5
Showing 1 - 10 of 11
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Predicting the cure of a defaulted company : nonlinear relationships between loan-related variables and the cure probability
Lohmann, Christian; Ohliger, Thorsten - In: Research in international business and finance 70 (2024) 2, pp. 1-15
Persistent link: https://www.econbiz.de/10015056485
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Predicting the cure of a defaulted company : nonlinear relationships between loan-related variables and the cure probability
Lohmann, Christian; Ohliger, Thorsten - In: Research in international business and finance 70 (2024) 2, pp. 1-15
Persistent link: https://www.econbiz.de/10015056829
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Is the regulatory downturn LGD adequate? : performance analysis and alternative methods
Hartmann-Wendels, Thomas; Imanto, Christopher Paulus - In: Journal of the Operational Research Society 74 (2023) 3, pp. 736-747
Persistent link: https://www.econbiz.de/10014332036
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Heterogeneities among credit risk parameter distributions : the modality defines the best estimation method
Gürtler, Marc; Zöllner, Marvin - In: OR spectrum : quantitative approaches in management 45 (2023) 1, pp. 251-287
Persistent link: https://www.econbiz.de/10014226388
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Credit line exposure at default modelling using Bayesian mixed effect quantile regression
Betz, Jennifer; Nagl, Maximilian; Rösch, Daniel - In: Journal of the Royal Statistical Society: Series A … 185 (2022) 4, pp. 2035-2072
For banks, credit lines play an important role exposing both liquidity and credit risk. In the advanced internal ratings‐based approach, banks are obliged to use their own estimates of exposure at default using credit conversion factors. For volatile segments, additional downturn estimates are...
Persistent link: https://www.econbiz.de/10014504169
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Explaining aggregated recovery rates
Höcht, Stephan; Wieczorek, Jakub; Zagst, Rudi - In: Risks 10 (2022) 1, pp. 1-30
for commercial loans provided by Global Credit Data, which includes defaults from 5 continents and over 120 countries. The …
Persistent link: https://www.econbiz.de/10013200909
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Cover Image
Explaining aggregated recovery rates
Höcht, Stephan; Wieczorek, Jakub; Zagst, Rudi - In: Risks : open access journal 10 (2022) 1, pp. 1-30
for commercial loans provided by Global Credit Data, which includes defaults from 5 continents and over 120 countries. The …
Persistent link: https://www.econbiz.de/10012805466
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Heterogeneities among credit risk parameter distributions: the modality defines the best estimation method
Gürtler, Marc; Zöllner, Marvin - In: OR Spectrum 45 (2022) 1, pp. 251-287
Comparative studies investigating the estimation accuracy of statistical methods often arrive at different conclusions. Therefore, it remains unclear which method is best suited for a particular estimation task. While this problem exists in many areas of predictive analytics, it has particular...
Persistent link: https://www.econbiz.de/10015272811
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Using model performance to assess the representativeness of data for model development and calibration in financial institutions
Kruger, Chamay; Schutte, Wille Daniel; Verster, Tanja - In: Risks 9 (2021) 11, pp. 1-26
Index. The first case study investigates whether a pooled data source from Global Credit Data (GCD) is representative when …
Persistent link: https://www.econbiz.de/10013200866
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Using accounting‐based and loan‐related information to estimate the cure probability of a defaulted company
Lohmann, Christian; Ohliger, Thorsten - In: European Financial Management 27 (2021) 4, pp. 620-640
The cure of a defaulted company has important implications for the estimation of the loss given default. In this study, we estimate the probability of a defaulted company being cured using data on a large international sample of defaulted companies. More specifically, we examine whether historic...
Persistent link: https://www.econbiz.de/10012509525
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