This research aims to find the most accurate model for predicting bankruptcy in the Indonesian banking industry. The data used are secondary data in the form of financial reports from 2018 to 2022. The methodology includes hypothesis testing using normality, homogeneity, and one-way ANOVA tests....

We ask if bank supervisors’ efforts to combat climate change affect banks' lending and their borrowers’ transition to the carbon-neutral economy. Combining information from the French supervisory agency’s climate pilot exercise with borrowers' emission data, we first show that banks that...

This paper captures advances in prudential regulation and supervision for challenger banks and fintech in the UK. It presents a critical analysis of the prudential supervisory approaches towards fintech. The focus is placed on fast-growing firms (FGFs), building on the review performed by the...

Relying on confidential supervisory data related to the 2016 EU-wide stress test, this paper presents novel empirical evidence that supervisory scrutiny associated to stress testing has a disciplining effect on bank risk. We find that banks that participated in the 2016 EU-wide stress test...

Banking supervisors worldwide recognise the pressing need to harness frontier technologies such as artificial intelligence (AI), particularly machine learning (ML), to enhance their efficiency and analytical capabilities. The European Central Bank (ECB) has similarly acknowledged the...