This study aims to analyse the sensitivity of capital requirements to changes in risk parameters (PD, LGD and M) by creating a model bank with a portfolio mirroring the average asset composition of internationally active large banks, as well as locally oriented smaller institutions participating...

In 2001, government guarantees for savings banks in Germany were removed following a law suit. We use this natural experiment to examine the effect of government guarantees on bank risk taking, using a large data set of matched bank/borrower information. The results suggest that banks whose...

Artificial intelligence and machine learning have increasing influence on the financial sector, but also on economy as a whole. The impact of artificial intelligence and machine learning on banking risk management has become particularly interesting after the global financial crisis. The...

Leasing provides a fundamental source of firm funding, especially for small and medium-sized enterprises. A crucial difference from loans and bonds is that the lessor retains ownership rights of the leased asset during the lease term. This facilitates the asset utilization and work-out process...

This paper deals with stress tests for credit risk and shows how exploiting the discretion when setting up and implementing a model can drive the results of a quantitative stress test for default probabilities. For this purpose, we employ several variations of a CreditPortfolioView-style model...

Using a novel dataset I examine to what extent the introduction of national Asset Management Companies (AMCs) impacts the effects of bank-specific and macroeconomic determinants of the NPLs ratio for European countries. This study provides evidence on how national AMCs help to alleviate the...

Following the financial crisis, the share of non-performing loans has significantly increased, while the regulatory guidelines on the Internal-Ratings Based (IRB) approach for capital adequacy calculation related to defaulted exposures remains too general. As a result, the high-risk nature of...

Using a novel panel data set we study the macroeconomic determinants of nonperforming loans (NPLs) across 75 countries during the past decade. According to our dynamic panel estimates, the following variables are found to significantly affect NPL ratios: real GDP growth, share prices, the...

We analyse the impact of the adoption of expected credit loss accounting (IFRS 9) on the timeliness and potential procyclicality of banks' loan loss provisioning. We use granular loan-level data from the euro area's credit register and investigate both firm-level credit events and macroeconomic...

The financial system of Serbia is highly bank-centric and euroised, which is a common specific feature of financial systems in developing countries. High level of euroisation represents an adequate environment for the development of emphasized interaction of foreign exchange and credit risks;...