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  • Search: subject:"Credit Risk Modelling"
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Year of publication
Subject
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credit risk modelling 11 Credit risk 9 Kreditrisiko 9 Credit risk modelling 6 Artificial intelligence 4 Credit rating 4 Insolvency 4 Insolvenz 4 Kreditwürdigkeit 4 Künstliche Intelligenz 4 Basel Accord 3 Basler Akkord 3 Credit Risk Modelling 3 Machine learning 3 Agriculture 2 Aprendizaje automático 2 Bank lending 2 CDS spreads 2 CIR model 2 Credit scoring 2 Explainable artificial intelligence (AI) 2 Forecasting model 2 Infinitesimal martingale representations 2 Information restrictions 2 Inteligencia artificial 2 Inteligencia artificial explicable 2 Interpretabilidad 2 Interpretability 2 Kreditgeschäft 2 Lending 2 Life insurance modelling 2 Light Gradient Boosting Machine (LightGBM) 2 Modelización de riesgos de crédito 2 Optional projections 2 Optionspreistheorie 2 Prognoseverfahren 2 Regulación y supervisión de instituciones financieras 2 Riesgos y liquidez 2 Scoring 2 Theorie 2
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Online availability
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Free 21 CC license 3
Type of publication
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Article 11 Book / Working Paper 8 Other 2
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Article 5 Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2
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Language
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English 17 Undetermined 4
Author
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Bandyopadhyay, Arindam 2 Baranovski, Alexander 2 Christiansen, Marcus C. 2 Kristóf, Tamás 2 Melsom, Borger 2 Tejero Tabernero, Jorge 2 Vennerød, Christian Bakke 2 Virág, Miklós 2 Westgaard, Sjur 2 Wilch, André 2 Balakrishnan, Charumathi 1 Dietsch, Michel 1 Dumisani Selby Nkambule 1 Fender, Ingo 1 Fourie, Erika 1 Fraisse, Henri 1 Jakubik, Petr 1 Kiff, John 1 Kozina, Anastasiia 1 Lange, Petter Eilif de 1 Lecarpentier, Sandrine 1 Lieres, Carsten von 1 Litvinenko, Alexey 1 Lé, Mathias 1 Pretorious, Jan Harm Christiaan 1 Schmieder, Christian 1 Specht, Leon 1 Thiagarajan, Mangaiyarkarasi 1 Twala, Bhekisipho 1 Verster, Tanja 1 Witzany, Jiří 1 de Lange, Petter Eilif 1 von Lieres und Wilkau, Carsten 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2 Bank for International Settlements (BIS) 1 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1 Česká Národní Banka 1
Published in...
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Journal of Risk and Financial Management 2 Journal of risk and financial management : JRFM 2 MPRA Paper 2 BIS Working Papers 1 Bulletin of monetary economics and banking 1 Document de travail 1 FFA Working Papers : FFA working paper 1 Finance and Stochastics 1 Finance and stochastics 1 International Journal of Financial Studies : open access journal 1 Journal of Accounting and Management Information Systems (JAMIS) 1 Junior Management Science (JUMS) 1 Risks : open access journal 1 SFB 649 Discussion Paper 1 SFB 649 Discussion Papers 1 Working Papers / Česká Národní Banka 1
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Source
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ECONIS (ZBW) 8 EconStor 6 RePEc 5 BASE 2
Showing 1 - 10 of 21
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Effective machine learning techniques for dealing with poor credit data
Dumisani Selby Nkambule; Twala, Bhekisipho; Pretorious, … - In: Risks : open access journal 12 (2024) 11, pp. 1-19
Credit risk is a crucial component of daily financial services operations; it measures the likelihood that a borrower will default on a loan, incurring an economic loss. By analysing historical data for assessment of the creditworthiness of a borrower, lenders can reduce credit risk. Data are...
Persistent link: https://www.econbiz.de/10015135786
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A Comparative Analysis of Altman's Z-Score and T. Jury's Cash-Based Credit Risk Models with The Application to The Production Company and The Data for The Years 2016-2022
Litvinenko, Alexey - In: Journal of Accounting and Management Information … 22 (2023) 3, pp. 518-553
Research Questions- In the present paper the author answers the following research questions: 1) What are the potential strengths of the credit risk model based on the cash flow principle? 2) What are the weaknesses of the accrual-based credit risk model? 3) What are the benefits of the combined...
Persistent link: https://www.econbiz.de/10015196172
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An Empirical Analysis of European Credit Default Swap Spread Dynamics
Specht, Leon - In: Junior Management Science (JUMS) 8 (2023) 1, pp. 1-42
I analyze the dynamics of European credit default swap spreads by estimating CDS spreads via an extension of the structural credit risk models by Black and Cox (1976) as well as Leland (1994), the so called CreditGrades model proposed by Finger et al. (2002). Using two different procedures in...
Persistent link: https://www.econbiz.de/10014528903
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The changing landscape of financial credit risk models
Verster, Tanja; Fourie, Erika - In: International Journal of Financial Studies : open … 11 (2023) 3, pp. 1-15
predictive modelling by considering some factors that influence financial credit risk modelling. The first factor is machine …
Persistent link: https://www.econbiz.de/10014419408
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Explainable AI for credit assessment in banks
de Lange, Petter Eilif; Melsom, Borger; Vennerød, … - In: Journal of Risk and Financial Management 15 (2022) 12, pp. 1-23
Banks' credit scoring models are required by financial authorities to be explainable. This paper proposes an explainable artificial intelligence (XAI) model for predicting credit default on a unique dataset of unsecured consumer loans provided by a Norwegian bank. We combined a LightGBM model...
Persistent link: https://www.econbiz.de/10014332712
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Explainable AI for credit assessment in banks
Lange, Petter Eilif de; Melsom, Borger; Vennerød, … - In: Journal of risk and financial management : JRFM 15 (2022) 12, pp. 1-23
Banks’ credit scoring models are required by financial authorities to be explainable. This paper proposes an explainable artificial intelligence (XAI) model for predicting credit default on a unique dataset of unsecured consumer loans provided by a Norwegian bank. We combined a LightGBM model...
Persistent link: https://www.econbiz.de/10014284417
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Time-dynamic evaluations under non-monotone information generated by marked point processes
Christiansen, Marcus C. - In: Finance and Stochastics 25 (2021) 3, pp. 563-596
The information dynamics in finance and insurance applications is usually modelled by a filtration. This paper looks at situations where information restrictions apply so that the information dynamics may become non-monotone. A fundamental tool for calculating and managing risks in finance and...
Persistent link: https://www.econbiz.de/10014497597
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Credit risk modelling for Indian debt securities using machine learning
Balakrishnan, Charumathi; Thiagarajan, Mangaiyarkarasi - In: Bulletin of monetary economics and banking 24 (2021), pp. 107-128
Persistent link: https://www.econbiz.de/10012584019
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Time-dynamic evaluations under non-monotone information generated by marked point processes
Christiansen, Marcus C. - In: Finance and stochastics 25 (2021) 3, pp. 563-596
Persistent link: https://www.econbiz.de/10012585987
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A comprehensive review of corporate bankruptcy prediction in Hungary
Kristóf, Tamás; Virág, Miklós - In: Journal of Risk and Financial Management 13 (2020) 2, pp. 1-20
The article provides a comprehensive review regarding the theoretical approaches, methodologies and empirical researches of corporate bankruptcy prediction, laying emphasis on the 30-year development history of Hungarian empirical results. In ex-socialist countries corporate bankruptcy...
Persistent link: https://www.econbiz.de/10012611249
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