Risk expert Clifford Rossi testified before Maryland lawmakers on January 21, 2025, warning that extreme climate events, like the recent LA fires, are overwhelming insurance companies. He proposed creating a federally chartered National Hazard Insurance Corporation (NHIC) to address the crisis.

Cyber risk is a top concern for organizations worldwide, intensified by AI's dual role in bolstering defenses and enhancing attacks. The Gordon-Loeb Model offers a cost-benefit framework to optimize cybersecurity investments, emphasizing AI's evolving, game-theoretic complexities.

Risk events often deemed "unprecedented" are typically extreme iterations of past occurrences, argues Clifford Rossi, Professor of the Practice and Director of the Smith Enterprise Risk Consortium. Comparing these to “Killer Bees,” he emphasizes proactive risk management, urging organizations to anticipate and mitigate low-probability, high-severity scenarios with robust strategies and resources.

Cris deRitis, deputy chief economist at Moody’s Analytics, delivered the keynote at the Smith Enterprise Risk Consortium Advisory Council meeting, offering insights on economic resilience, interest rates, consumer behavior, entrepreneurship, and geopolitical risks, advancing SERC’s mission of industry-academic collaboration.

Experts from the Smith School of Business and School of Public Policy convened for the 20th Financial Information Systems and Cybersecurity Forum, addressing cyber risk management through vigilance, resilience, and flexibility amid evolving threats and emerging technologies.

Poor risk management practices eventually come back to haunt those organizations that fail to take a broad and proactive view at managing risk.

EY Professor Lawrence A. Gordon highlights that cyber risks pose significant threats to businesses, particularly small ones. Limited resources make small businesses prime targets for cybercriminals, who exploit their vulnerabilities, underscoring the need for affordable cybersecurity measures.

Risk decisions often falter due to cognitive biases, underdeveloped decision-making processes, and overreliance on models. Clifford Rossi argues that robust frameworks and balanced decision structures are essential to navigate uncertainty effectively and mitigate poor risk outcomes.

The Smith School's Enterprise Risk Consortium introduces two mortgage risk indexes: the Mortgage Credit Risk Index (MCRI) and Mortgage Redtail Risk Index (MRRI). MCRI measures 3-5-year default risk on GSE-eligible loans, while MRRI identifies loans with high-risk factors, aiding lenders, investors, and regulators in assessing mortgage credit risk and adverse selection.

Smith’s Teaching/Learning Innovation Grant supports Cliff Rossi’s experiential learning project, where students analyze climate risk impacts on mortgages using machine learning. The project develops industry-relevant skills, preparing students for top finance roles and advancing climate-risk insights in housing.