70 résultats
pour « banks »
"We argue that simply pooling data across banks treats banks equally but is subject to two deficiencies: it may distort the impact of legitimate portfolio features, and it is vulnerable to implicit misdirection of legitimate information to infer bank identity. We compare various notions of regression fairness to address these deficiencies, considering both forecast accuracy and equal treatment. In the setting of linear models, we argue for estimating and then discarding centered bank fixed effects as preferable to simply ignoring differences across banks."
"Drawing on recently disclosed information on the Pillar 2 capital requirements of banks directly supervised by the ECB, we find that bank-specific capital requirements are mostly driven by business model and profitability, credit risk, and internal governance and risk management issues. Moreover, we propose a novel measure of bank governance quality that teases out the qualitative dimension of the P2R decision."
"This research contributes to bank liquidity risk management by employing supervised machine learning models to provide banks with early warnings of liquidity stress using market-based indicators."
"... some operational risk managers are working more closely with their human resources partners to develop a more cohesive approach to people risk management. In the context of current reforms to the capital requirements for operational risk"
"We observe that cyber vulnerability and other financial shocks cannot be treated as uncorrelated risks and policy solutions for cyber security need to be calibrated for adverse financial conditions."
"... we conclude that the Prophet model does a good job of forecasting bank capital ratios, which could supplement bank stress tests by regulatory agencies."
"We find that banks manage regulatory capital to exceed the threshold and thus to pay lower deposit insurance fees and to have access brokered deposits and financial activities. To reach the threshold, banks use accounting discretion over accruals and real activities, increase equity, and change risk-weighted assets."
"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."
"We ... estimate the quarterly evolution of expected losses (Capital at Risk) for the UK banking sector, and via Monte Carlo simulations the stochastic distribution of UK banks’ losses to study the severity and likelihood of tail-events (Conditional Capital at Risk). In the end, we provide insights on the impact of the Covid-19 pandemic on UK banking system’s loss distribution by decomposing the sources of average and tail risks."
"For regulators, risk managers and market participants these properties are interesting from an economic standpoint when they require the increased sensitivity and heterogeneity of the Δ-CoES to set short-term capital requirements/risk limits, find problematic financial linkages, problematic financial institutions or have some kind of early warning system for the emergence of systemic risk."