Estimating the Impact of Physical Risks on Firm Defaults: A Supply‑Chain Perspective

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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.

Corporate Governance and Risk‑Taking: A Statistical Approach

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.

Does National Culture Influence Malfeasance in Banks Around the World?

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.

Study on the Inhibiting Impact of Digital Finance on Corporate Financial Fraud

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

Optimal Premium Pricing in a Competitive Stochastic Insurance Market with Incomplete Information

"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..."

Reputation and Asset Prices: Evidence from Trump Real Estate

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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.

Learning From the Past: Applying Concepts of the S&O Act to Restore Consumer Trust

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.

A New Approach to Measuring AI Bias in Human Resources Functions: Model Risk Management

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.

Better Prevention Than Cure: Cybersecurity Risk and Clawback Provision

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.