2011/05/15 by Karol Przanowski, Przanowski, Karol
Business, Management and Accounting · Computer Science · Economics, Econometrics and Finance · #Credit Risk and Financial Regulations #FOS: Economics and business #Financial Distress and Bankruptcy Prediction #Imbalanced Data Classification Techniques #Risk Management (q-fin.RM) #q-fin.RM
paper · pdf · doi:10.48550/arxiv.1105.2968
arxiv created 2011/05/15 · openalex publication_date 2011/05/15 · arxiv updated 2011/05/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper presents two cases of random banking data generators based on migration matrices and scoring rules. The banking data generator is a new hope in researches of finding the proving method of comparisons of various credit scoring techniques. There is analyzed the influence of one cyclic macro--economic variable on stability in the time account and client characteristics. Data are very useful for various analyses to understand in the better way the complexity of the banking processes and also for students and their researches. There are presented very interesting conclusions for crisis behavior, namely that if a crisis is impacted by many factors, both customer characteristics: application and behavioral; then there is very difficult to indicate these factors in the typical scoring analysis and the crisis is everywhere, in every kind of risk reports.