Mastering higher-order risk measures in actuarial models means going beyond the basic tools actuaries typically use, like expected loss or variance, to capture more nuanced aspects of risk — especially the extreme outcomes and tail behavior that can really impact an insurer’s financial health. For anyone working in insurance or risk management, understanding these advanced measures isn’t just academic; it’s a practical necessity for setting premiums, determining capital reserves, and managing portfolios prudently.