Cyber Risk Taxonomies: Statistical Analysis of Cybersecurity Risk Classifications
Cyber risk classifications often fail in out‑of‑sample forecasting despite their in‑sample fit. Dynamic, impact‑based classifiers outperform rigid, business‑driven ones in predicting losses. Cyber risk types are better suited for modeling event frequency than severity, offering crucial insights for cyber insurance and risk management strategies.