Faculty of Actuarial Science and Insurance with Adrian O'Hagan (University College Dublin)
by
Wed, Apr 1, 2026
3 PM – 4 PM (GMT+1)
Bayes Business School, 106 Bunhill Row
Room 2005
106 Bunhill Row, London EC1Y 8TZ, UK
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Details
Abstract: Heart rate variability (HRV), measured using wearable devices, is recognised as being associated with mortality risk. However, the implications of incorporating HRV into life-insurance pricing, particularly in the presence of information asymmetry between individuals and insurers, remain unclear. This study examines how HRV-based risk information may affect insurer performance under alternative pricing strategies using a controlled simulation framework. We generate a synthetic population calibrated to age- and sex-specific baseline mortality rates and introduce an HRV-related multiplicative hazard component, with effect sizes varied across a plausible range informed by the clinical literature. Two insurers are considered: one that prices policies using traditional rating factors only, and another that incorporates HRV into premium calculations. Individuals are assumed to purchase insurance based on premium price, while only a proportion of the population is informed about their true HRV-adjusted risk. Both the strength of the HRV–mortality association and the proportion of informed individuals are varied, with each scenario repeated multiple times to account for stochastic variability.
Where
Bayes Business School, 106 Bunhill Row
Room 2005
106 Bunhill Row, London EC1Y 8TZ, UK