The rapid development of artificial intelligence methods contributes to their wide applications for forecasting various financial risks in recent years. This study introduces a novel explainable case-based reasoning (CBR) approach without a requirement of rich expertise in financial risk....

In this paper, we analyse the price discrimination and household switching in the residential mortgage market. Accessing a unique proprietary micro-data set from Norway, we examine the difference between the loan rate paid by current clients when receiving a competing offer from another bank and...

In this paper, we test alternative feature selection methods for bankruptcy prediction and illustrate their superiority versus popular models used in the literature. We test these methods using a comprehensive dataset of more than one million financial statements from privately held Norwegian...

The internal ratings-based (IRB) approach maps banks’ risk profiles more adequately than the standardized approach. After switching to IRB, banks’ risk-weighted asset (RWA) densities are thus expected to diverge, especially across countries with different supervisory strictness and risk...

We shed light on computational challenges when fitting the Nelson-Siegel, Bliss and Svensson parsimonious yield curve models to observed US Treasury securities with maturities up to 30 years. As model parameters have a specific financial interpretation, the stability of their estimated values...