標(biāo)題: Titlebook: Analytical Techniques in the Assessment of Credit Risk; An Overview of Metho Michalis Doumpos,Christos Lemonakis,Constantin Zop Textbook 20 [打印本頁(yè)] 作者: Chylomicron 時(shí)間: 2025-3-21 17:26
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書目名稱Analytical Techniques in the Assessment of Credit Risk讀者反饋學(xué)科排名
作者: 護(hù)身符 時(shí)間: 2025-3-22 00:14 作者: 河潭 時(shí)間: 2025-3-22 04:14
The Future of Aging and Digital Health,he credit rating industry, focusing on the major credit rating agencies (CRAs), who play a crucial role due to the globalization of the financial markets and the wide range of debt issues, which pose challenges to their monitoring and risk assessment for investors, financial institutions, supervisors, and other stakeholders.作者: 侵害 時(shí)間: 2025-3-22 08:37
Introduction to Credit Risk Modeling and Assessment,ng these elements are discussed and different modeling schemes are outlined, including judgmental approaches, data-driven empirical models, and financial models. The chapter closes with some financial measures for assessing the loan profitability, such as risk-adjusted return on capital.作者: Default 時(shí)間: 2025-3-22 09:11 作者: 挑剔為人 時(shí)間: 2025-3-22 15:19 作者: Hiatus 時(shí)間: 2025-3-22 17:12
Textbook 2019 to tackle and analyze complex credit problems. It employs models and techniques from operations research and management science to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents the advances and trends in mo作者: Custodian 時(shí)間: 2025-3-22 22:15
Analytical Techniques in the Assessment of Credit RiskAn Overview of Metho作者: 熱情贊揚(yáng) 時(shí)間: 2025-3-23 02:53
Data Analytics for Developing and Validating Credit Models,multicriteria decision aid (value function models and outranking models). Moreover, performance measurement issues are discussed, focusing on the presentation of various popular metrics for evaluating the predictive power and information value of credit scoring and rating models.作者: 旅行路線 時(shí)間: 2025-3-23 08:18
Applications to Corporate Default Prediction and Consumer Credit,tivariate clustering approach is employed to obtain analyze credit card loan applications. A publicly available data set of 30,000 cases is analyzed with the .-medoids algorithm to identify clusters of borrowers having similar characteristics. The results are discussed in terms of the common feature作者: CHAR 時(shí)間: 2025-3-23 10:20
Disruptive Cooperation in Digital Healthmulticriteria decision aid (value function models and outranking models). Moreover, performance measurement issues are discussed, focusing on the presentation of various popular metrics for evaluating the predictive power and information value of credit scoring and rating models.作者: diabetes 時(shí)間: 2025-3-23 14:08
Disruptive Environmental Communicationtivariate clustering approach is employed to obtain analyze credit card loan applications. A publicly available data set of 30,000 cases is analyzed with the .-medoids algorithm to identify clusters of borrowers having similar characteristics. The results are discussed in terms of the common feature作者: Immobilize 時(shí)間: 2025-3-23 19:02
2364-687X l risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.978-3-030-07599-6978-3-319-99411-6Series ISSN 2364-687X Series E-ISSN 2364-6888 作者: sparse 時(shí)間: 2025-3-23 22:57 作者: agglomerate 時(shí)間: 2025-3-24 06:11
EURO Advanced Tutorials on Operational Researchhttp://image.papertrans.cn/a/image/156669.jpg作者: 施舍 時(shí)間: 2025-3-24 08:07 作者: 重畫只能放棄 時(shí)間: 2025-3-24 13:22
978-3-030-07599-6Springer Nature Switzerland AG 2019作者: CLAM 時(shí)間: 2025-3-24 16:06 作者: BRAWL 時(shí)間: 2025-3-24 20:01 作者: exquisite 時(shí)間: 2025-3-25 00:17
The Future of Aging and Digital Health,itutions and corporate clients. Credit ratings provide risk classifications for corporate loans, bond issues, and countries (e.g., sovereign credit ratings). This chapter describes the basic characteristics of both schemes. The presentation begins with a discussion of the different contexts of scori作者: Substance-Abuse 時(shí)間: 2025-3-25 04:10 作者: Entrancing 時(shí)間: 2025-3-25 09:11 作者: NAIVE 時(shí)間: 2025-3-25 12:53 作者: blight 時(shí)間: 2025-3-25 15:53 作者: Acumen 時(shí)間: 2025-3-25 22:50
Erica L?fstr?m,Kristoffer S. Fj?llingsdalnd (e.g., from traditional corporate and consumer loans to crowdfunding, social lending, etc.) and tighter regulatory requirements are imposed (Basel accords and new reporting and accounting standards such as IFRS 9), new opportunities and challenges arise for practitioners and researchers.作者: 慢慢啃 時(shí)間: 2025-3-26 03:57 作者: 夾死提手勢(shì) 時(shí)間: 2025-3-26 06:08
Credit Scoring and Rating,itutions and corporate clients. Credit ratings provide risk classifications for corporate loans, bond issues, and countries (e.g., sovereign credit ratings). This chapter describes the basic characteristics of both schemes. The presentation begins with a discussion of the different contexts of scori作者: narcissism 時(shí)間: 2025-3-26 08:31
Data Analytics for Developing and Validating Credit Models,vel of sophistication in terms of data preparation, analysis, and modeling. From a data analytics perspective, the construction of credit scoring and rating models can be considered as a classification task, that requires the development of models differentiating the borrowers by their level of cred作者: 小歌劇 時(shí)間: 2025-3-26 15:40 作者: 蕨類 時(shí)間: 2025-3-26 17:05
Conclusions and Future Research,nd (e.g., from traditional corporate and consumer loans to crowdfunding, social lending, etc.) and tighter regulatory requirements are imposed (Basel accords and new reporting and accounting standards such as IFRS 9), new opportunities and challenges arise for practitioners and researchers.作者: JOG 時(shí)間: 2025-3-26 22:42
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