Estimation of Generalized Tail Distortion Risk Measures with Applications in Reinsurance
New estimators for generalized tail distortion (GTD) risk measures are proposed, based on first‑order asymptotic expansions, offering simplicity and comparable or better performance than existing methods. A reinsurance premium principle using GTD risk measure is tested on car insurance claims data, suggesting its effectiveness in embedding safety loading in pricing to counter statistical uncertainty.