Titlebook: Analytical Techniques in the Assessment of Credit Risk; An Overview of Metho Michalis Doumpos,Christos Lemonakis,Constantin Zop Textbook 20

Chylomicron

書目名稱Analytical Techniques in the Assessment of Credit Risk影響因子(影響力)




書目名稱Analytical Techniques in the Assessment of Credit Risk影響因子(影響力)學(xué)科排名




書目名稱Analytical Techniques in the Assessment of Credit Risk網(wǎng)絡(luò)公開度




書目名稱Analytical Techniques in the Assessment of Credit Risk網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Analytical Techniques in the Assessment of Credit Risk被引頻次




書目名稱Analytical Techniques in the Assessment of Credit Risk被引頻次學(xué)科排名




書目名稱Analytical Techniques in the Assessment of Credit Risk年度引用




書目名稱Analytical Techniques in the Assessment of Credit Risk年度引用學(xué)科排名




書目名稱Analytical Techniques in the Assessment of Credit Risk讀者反饋




書目名稱Analytical Techniques in the Assessment of Credit Risk讀者反饋學(xué)科排名

護(hù)身符

河潭

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.

侵害

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.

Default

挑剔為人

Hiatus

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

Custodian

Analytical Techniques in the Assessment of Credit RiskAn Overview of Metho

熱情贊揚

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.

旅行路線

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