This article suggested method of probability estimation of defaults in the retail. This method is based on the clustering of borrowers depending on the level of credit risk and satisfying international standards of credit risk. Performed testing methodology on the example of some regions of the...

This report summarizes the findings of the Financial Sector Assessment Program (FSAP) Update for Spain. Although there is a core of strong banks that are well managed and appear resilient to further shocks, vulnerabilities remain. Substantial progress has been made in reforming the former...

The assessment is a featured report of Turkey’s credit boom in the middle of 2011. The country faced the global crisis successfully because of earlier significant capital buffers. Overall, the country was healthy financially, but there was a slowdown in loan growth and market...

This technical note summarizes stress tests undertaken for the Czech banking system as part of the Financial Sector Assessment Program (FSAP) Update. The tests were tailored to capture the specificities of the Czech banking system, characterized by a high share of foreign-owned banks. The...

This Selected Issues and Statistical Appendix Paper look at the global spillovers to the United Arab Emirates (UAE) financial system. It finds an uneven degree of spillovers to different segments of the UAE financial system. Regarding domestic equity markets, the combined market capitalization...

A technical note on the stress test of Israel’s banking, insurance, and pension sectors is presented. The Israel Financial Sector Assessment Program Update stress testing exercise comprises a comprehensive analysis of solvency and liquidity risks of key banking and insurance institutions....

This note explores the costs and benefits of different policy options to reduce the risks associated with credit booms, drawing upon several country experiences and the findings from econometric analysis.

Abstract This paper proposes a rating methodology that is based on a non-linear classification method, a support vector machine, and a non-parametric isotonic regression for mapping rating scores into probabilities of default. We also propose a four data set model validation and training...