Risk Management Blog
Get the Latest News from SIGMAOur blog is regularly updated with topics that timely and relevant, including analytical issues, benchmarking, loss control, captives and pool issues, and much more.
Projecting Losses in Times of Uncertainty
Links in this blog require a RISK66 login. Register here for free access. Case 4: Additional Actuarial Reports Prior to Year-End Thus far, our series on loss projections in uncertain times has covered several analytical tools companies can use to track and analyze...
Uses and Limitations of a Confidence Level Analysis
The projection of losses involves estimating the expected or average value of future loss costs. This estimate is based on historical loss experience, adjusted to the current cost level considering both internal influences (such as development, changes in claims...
Projecting Losses in Times of Uncertainty
Case 3: Assessing Changes to Loss Development Factors The information provided thus far in SIGMA’s pandemic-related case studies has been met with fantastic feedback. In a recent Lunch & Learn webinar reviewing and expanding on the first case study, we received a...
COVID-19 Business Interruption Insurance Q&A with Bill Wilson
We are pleased to have one of our favorite guest bloggers back with us. In my 30+ years in the P&C insurance world, I rarely meet anyone with more industry knowledge and experience than Bill. Today, he shares this valuable industry expertise on business...
Projecting Losses in Times of Uncertainty
Case 2: Detecting Early Trends with Lag Analytics As organizations contend with the current pandemic and its operational, financial, and risk-related impacts, they will need to address new methods of utilizing analytics in their decision-making process. To help them...
Defining and Modeling Adverse Scenarios for Captive Insurance
As part of SIGMA’s continuing efforts to provide actuarial expertise and guidance to the captive industry, we recently wrote an article for Captive International, a UK-based publication, discussing adverse loss scenario modeling. In it, Michelle Bradley and Enoch...