Credit Risk & Default Analysis Using SQL Server I built this project while preparing for the FRM Part 1 exam to bridge the gap between the theory I'm studying and real data work. The idea was simple ...

Artificial intelligence is changing how organisations use data. Tasks that once required complex queries and manual analysis can now be done in minutes with modern analytics platforms. Because of this ...

1 School of Artificial Intelligence and Information Engineering, Zhejiang University of Science and Technology, Hangzhou, China. 2 School of Sciences, Zhejiang University of Science and Technology, ...

From April 1, 2026, your credit card usage may come under closer watch as new Income Tax rules tighten reporting, PAN linkage, and monitoring of high-value spending. The changes, proposed under the ...

The ongoing crisis in private credit is the result of bad underwriting, according to Christian Stracke, president and head of APAC and EMEA at Pacific Investment Management Company. PIMCO is one of ...

Businesses may ask you to pay credit card surcharges, also known as checkout fees, when you pay with a credit card. These fees make credit card purchases more costly, even if it’s just a small ...

The software and technology sectors pose one of the all-time great concentration risks to the speculative-grade credit market, according to Deutsche Bank AG analysts. They comprise $597 billion and ...

Abstract: Bond issuance associated with Environmental, Social and Governmental (ESG) has become a very important strategic tool, which involves companies pursuing greater financial security, ...

ABSTRACT: This study utilizes an ordered probit model to analyze the determinants of sovereign credit ratings for East African countries from 2010 to 2022, based on ratings from major agencies. The ...

The Chinese University of Hong Kong is preparing to extend its diabetes-focused risk prediction model into an Asia-wide chronic disease analytics platform, initially leveraging one of Asia’s largest ...

Credit risk modeling is important for financial institutions. It represents the risk of borrower not being able to pay back the loan amount, credit card or other types of loans. In some cases, ...