The findings underscore the importance of inside debt compensation as a #riskmanagement #governance mechanism that alleviates inefficiencies related to #cybersecurity investments.
As more #laws and #legal norms are introduced to enforce #esg standards, directors are required to ensure that their corporation complies with these standards. This encroaches on the #fiduciary relationship between directors and the corporation and weakens the Business Judgment Rule (#bjr) as directors must operate within the law and implement #compliance systems to keep up with the growing #esggoals.
The paper argues that seeing #riskmanagement as a question of defining the partnership between business and government is crucial to improving it rather than focusing solely on the amount of #regulation.Sometimes these partnerships are adversarial, as they can be with government regulation. Other times they are seemingly invisible, such as when society relies on private #insurance markets to manage risk.
It proposes policy changes to reduce the cost and improve the value of #autoinsurance in #canada. The study found that Canadians pay the highest premiums in the world for auto #insurance relative to GDP, with personal injury coverage being the most significant contributor to overall differences. The paper recommends product reforms and addressing #autorepair#fraud to increase consumer choice, reduce disputes, and provide better value.
It highlights the increasing #regulatory focus on #climaterisk faced by #canada's #banks, both domestically through the #osfi and globally through the adoption of guidelines proposed by the #tcfd. As regulators seek to impose more #monitoring, #disclosure, and mitigation obligations on #financialinstitutions, the article raises whether banks' #capitalrequirements should be increased to reflect the #risks associated with #climatechange.
"In this paper we propose efficient #bayesian Hamiltonian #montecarlo method for estimation of #systemicrisk#measures , LRMES, SRISK and ΔCoVaR, and apply it for thirty global systemically important banks and for eighteen largest #us#financialinstitutions over the period of 2000-2020. The systemic risk measures are computed based on the Dynamic Conditional Correlations model with generalized asymmetric #volatility. A policymaker may choose to rank the firms using some quantile of their systemic risk distributions such as 90, 95, or 99% depending on #risk preferences with higher quantiles being more conservative."
Effective #riskmanagement, including #operationalriskmanagement, is crucial for minimizing #financialrisks posed by #operationalrisk. Risk evaluation, which includes assessing potential risks and their #probabilities, is also vital. #bibliometric analysis using #metrics such as citations, networks, co-authorship, and region-based #publications can provide insights into the quality of #research on operational risk and identify gaps. Such analysis reveals a growing interest in the study of operational risk, but also highlights research gaps that need to be addressed for effective risk management.
"This paper considers some univariate and multivariate #operationalrisk#models , in which the #loss severities are modeled by some weakly tail dependent and heavy-tailed positive random variables, and the loss frequency processes are some general counting processes. … The methodology is based on #capitalapproximation within the #baseliii framework (the so-called loss distribution approach)."
This study, based on #cdc data, investigates the relationship between #influenza-like illnesses (ILIs) and #audit outcomes in public companies. The study explores whether the overlap between #fluseason and the audit busy season affects #auditquality, as the demanding nature of audits may lead to employees going to work sick. The study finds that audit offices at highest risk of ILIs experience delayed audit report filings and lower audit quality due to impaired cognitive functioning resulting from #presenteeism. These findings have broad implications for workplaces and the audit profession, highlighting the impact of #health impairments on company outputs.
We propose and implement a method to identify shocks to #transitionrisk addressing key challenges regarding its definition and #measurement. Our shocks are instances where significant new information about the economic relevance of climate change increases the valuation of #greenfirms over #brownfirms. To illustrate our method, we identify shocks to transition risk in the #us. These shocks have important aggregate effects, also inducing #financialinstability. They are associated with events that increase the likelihood of an orderly transition, and they specifically affect parts of the economy related to #fossilfuels and #energy. We show that these main results carry over to #de and the #uk. Still, we find an important role for country specificities.