Life insurance underwriting traditionally uses industry tables and long-term trends based on historical averages. These one-size-fits-all trends ignore variability among factors such as age, sex, regionality, and socioeconomic cohort, as well as trend risk over time. Assessing and simulating risk at an individual level can diminish adverse selection, increasing profitability through greater pricing precision.
Verisk’s risk models and proprietary data assets not only model detailed cause-of-death scenarios but can also augment policyholder data within your portfolio. Life Risk Navigator can provide probabilistic analyses and enhancements for portfolios ranging from bare-bones policy data to those with detailed health information.