Nos derniers articles

The paper investigates whether Global Systemically Important Banks (G-SIBs) engage in stronger window-dressing practices than other banks. It finds evidence that G-SIBs reduce exposures such as assets, debt, and derivatives more sharply at year-end and then increase them again in the following quarter, creating a “V-shape” pattern. This behavior is more pronounced for G-SIBs near regulatory thresholds or with higher surcharges, suggesting attempts to lower capital requirements. The study highlights potential market implications and questions the effectiveness of the G-SIB framework, suggesting reforms such as using average exposures rather than year-end figures.

This study analyzes financial risk management in digital-only banking using quantitative methods. Phishing (35%) and ransomware (20%) cause major financial losses. Basel III compliance reduces fraud risks, while AI-driven fraud monitoring has inefficiencies. Regulatory enforcement improves fraud prevention by 1.90%, highlighting the need for stronger cybersecurity and regulatory measures.

"... model uncertainty is a vital component of the current challenges in risk measurement, and therefore the regulator should design risk measures encouraging well-understood prudent decisions over (less understood) risky ones. From this perspective robust regulation should be a desirable goal. To achieve such an objective, simple – but not simpler – rules are needed."

"Our findings, based on LDA topic modeling and term frequency, indicate that already at the time of the crisis Israeli banks had shifted the focus of their reports from market and operational risks to credit and liquidity risks. The introduction of Basel III amplified this trend..."

"This paper presents an overview of key proposals formulated by the European Systemic Risk Board (ESRB), the European Banking Authority (EBA) and the European Central Bank (ECB) in the context of the review of the macroprudential policy framework of the European Union (EU), aimed at improving its operation and efficiency over the medium term."

"Building on the Liquidity Coverage Ratio created under the Basel III regulatory agreement, this paper introduces the notion of Liquidity Coverage at Risk (LCRisk), which is the probability that a bank becomes insolvent in the next 30-days. LCRisk has a closed-form expression and it can be computed using information contained in the bank’s balance sheet."