This study employs an agent-based #model to explore how #climate shocks spread within #supplychains, linking #climateimpacts to firms' #default #risks. Integrating supply chain and financial models, it outlines a framework to simulate physical risk transmission, downstream effects, and increased default risk. Findings underscore supply chains' role in #climaterisk propagation, advocate adaptation measures, and identify vulnerable sectors. The research underscores the necessity of climate #resilience in supply chains.
The article presents three key arguments on #risktaking in #corporategovernance. Firstly, it asserts that #riskmanagers shouldn't be automatically blamed for corporate failures arising from statistically justified risk-based decisions. It suggests a "statistics-based governance" rule to protect managers within legal limits. Secondly, it argues for the inclusion of statistical methodologies to offset #cognitivebias in assessing prudent corporate #governance. Lastly, it contends that while expected-value analysis guides most decisions, for those with potential societal harm, public interests should also be considered.
The study investigates the influence of national culture on the severity of global #bank#misconduct. It finds that cultural traits such as over-confidence and #uncertainty avoidance play a significant role in determining misconduct levels. The research underscores the importance of #regulatory measures and #supervisory independence in countering cultural effects on #financial#malfeasance. These findings hold implications for #regulators, #policymakers, and professionals within the #bankingsector.
Amid #digitalfinance's rise, its role in combating corporate #financialfraud gains attention. The study explores how digital finance curbs fraud via #transparency, #regulation, #riskcontrol, and trust mechanisms. Findings suggest positive impacts on deterring corporate #fraud, with implications for digital finance development and #fraudprevention
"This paper examines a #stochastic one-period #insurancemarket with incomplete information. The aggregate amount of #claims follows a compound #poisson distribution. #insurers are assumed to be exponential utility maximizers, with their degree of #riskaversion forming their private information. A premium strategy is defined as a map between risk types and premium rates. The optimal premium strategies are denoted by the pure-strategy #bayesian #nash equilibrium, whose existence and uniqueness are demonstrated under specific conditions for the demand function..."
We assess the impact of #brandreputation on asset prices, focusing on Donald Trump's presence in Manhattan real estate. Analyzing from mid-2015 to 2022, we find a 19% markdown on condos in Trump-branded buildings due to controversies around his candidacy. The drop was swift and substantial, indicating the relevance of #reputationalrisk in pricing. Using #twitter data, a 1-standard-deviation increase in our reputation indicator forecasts a 6% discount. Tax data shows no benefits, and property values fell by $1.1 billion, underlining the importance of considering reputational risk in #riskmanagement.
The current global #dataprivacy situation resembles the accountability crisis during the early 2000s US accounting scandals. Lack of oversight, #transparency, and #regulation has led to confusion and distrust. By emulating successful models like the Sarbanes-Oxley Act, companies can regain consumer trust by treating privacy policies like #financialstatements, standardized and audited. The proposal includes #privacy #controls similar to financial internal controls and a Privacy Cube framework for #riskmanagement, ultimately aiming to rebuild #consumertrust in #data handling.
Companies use #ai tools for #hr decisions, but they face a balance between benefits and #risks. With limited federal #regulation and complex state laws, employers seek guidance. The #model#riskmanagement#mrm framework, adapted from #finance, aids in managing #airisks for #employment choices. Proportionality lets employers adjust validation to risks and tech changes. Objective analysis and a competent MRM team ensure AI tools align with design and legal requirements, fostering trust and #compliance.
The paper discusses #modeling #longevity #risk, focusing on assumptions in #demographic #forecasting to project past data into the future. #stochastic forecasts are crucial to quantify #uncertainty in cohort survival predictions, including process variance and parameter/model errors.
The study analyzes how #cybersecurityrisk impacts #clawback policy adoption in #us listed firms from 2008-2018. It finds that rising cybersecurity risk increases clawback adoption, influenced by business goals, management preferences, and market efficiency. Stronger tech commitment and non-co-opted boards reduce this effect, showing firms consider clawbacks as preventive against #misconduct, incorporating cybersecurity risk.