Nos derniers articles

The paper explores the potential inclusion of #climatechange #risks in the #prudential #regulatoryframework, specifically discussing adjustments to #capitalrequirements and changes to the #riskmanagement and #governance framework. The paper argues in favor of the latter but is more cautious regarding the former.

The paper explores the challenges of building a #safetyculture for #ai, including the lack of consensus on #risk prioritization, a lack of standardized #safety practices, and the difficulty of #culturalchange. The authors suggest a comprehensive strategy that includes identifying and addressing #risks, using #redteams, and prioritizing safety over profitability.

"We use the recently failed #svb as a case study. Our [#machinelearning #textanalysis] findings indicate a weaker emphasis on #riskgovernance by SVB and an environment, particularly after 2011, where the #ceo became more dominant in influencing SVB’s #riskculture. We also show that despite recognition of the portfolio problems, SVB’s CEO’s tone indicated that #regulatorycompliance and #riskstrategy of the #bank would #mitigate these #risks. We observe an alignment between the #riskculture of SVB and other banks with the highest uninsured deposits as well as with two #us #gsibs."

This paper introduces the concept of differential privacy (DP) as a novel technical tool that can quantifiably assess the identification #risks of #databases, thereby aiding in the classification of data. By allocating a privacy budget in advance, data controllers can establish auditable and reviewable boundaries between #personal, #anonymous, and #pseudonymous data, while integrating this framework into broader data #riskmanagement practices.

"Our study extends the research on the determinants of corporate #climaterisk and impact of firm-level #politicalrisk on various corporate policies and decision-making processes. It further motivates future research on the interplay among these #risks and their effects on #finance."

"#ifrs17 introduces the concept of a #riskadjustment that compensates #insurers for the #uncertainty about the amount and timing of the cash flows that arise from #nonfinancial#risks. The method for its calculation is not prescribed and several options are emerging, including #var and cost of #capital."

The study emphasizes the need for a better understanding of #ai to avoid policies that may hinder its benefits. It argues for a cross-disciplinary approach to AI #governance and clarifying its core concepts to build trust. The paper addresses two key questions: 1) What is the best way to safely introduce AI to maximize well-being and #sustainability in light of its potential #risks? and 2) What specific policy steps should be taken to implement it?

#insurance#climaterisk"This paper discusses the relationship between the financial constraints faced by infrastructure assets due to #floodrisk exposure and their ability to finance adaptation to such #risks through internal resources. #risktransfer mechanisms such as #floodinsurance were shown to be a consistent channel leading to increases in #riskreduction through adaptation. "

"… we find that the #uncertainty premium is negatively correlated with #riskaversion at all sizes and #probabilities of #risks. This leads to a selection effect: individuals who purchase #insurance are not necessarily the most risk averse. We show that the resulting #misallocation of insurance leads to large #welfare#losses."

This paper explores the #reputationalrisk associated with #esg investments and provides a formal theoretical valuation system for ESG reputation. The authors argue that ESG criteria adoption has multiple positive dimensions and outcomes, but the analysis of the #risks related to #sustainability is uncommon. They model ESG reputational risk using paradigms of #behaviouralfinance, defining it by subjective probabilities framed in a #probability function based on potential trustees' preferences. The paper highlights the need for accurate evaluation of reputational risks related to ESG investments by firms and other institutions, including #insurance companies and #pensionfunds.