AI could revolutionize UK sectors, enhancing productivity and decision-making, notably in finance by automating processes and refining decisions like underwriting. However, its rapid evolution raises uncertainties and financial stability risks, including systemic issues from flawed AI models, market instability, and cyber threats. The Financial Policy Committee (FPC) is assessing these risks to ensure safe AI adoption, supporting sustainable growth through vigilant monitoring and regulation.
The paper explores the link between sustainability, carbon metrics, and fund performance before and after COVID-19. It finds that environmental ESG factors align closely with climate risk, while overall ESG scores show weaker correlations. Investor preferences for sustainability shift based on economic conditions, emphasizing profitability over sustainability in investment decisions.
This research examines how ESG performance impacts default probability (PD) in life and non-life insurance firms. Findings show that improved ESG practices reduce both short-term and long-term PD, benefiting credit ratings and financial stability. Policymakers and managers can use this to enhance risk management and sustainable finance strategies.
The paper examines the EU AI Act's impact on banking supervision, highlighting the ECB's role. It discusses legal frameworks, obligations for high-risk AI systems, AI governance, and the balance between innovation and prudential requirements. Strategic policy recommendations are provided to enhance oversight and financial system integrity.
"Using a novel firm-level measure of cybersecurity, we find that cybersecurity risk increases the probability of bank default. The effect is larger for banks with deposit withdrawal, but less pronounced for banks with liquidity buffer. Our results are robust to using an instrumental variable approach and to using alternative measures. "