TY - JOUR
T1 - On contemporary mortality models for actuarial use I: practice
AU - Richards, Stephen J.
AU - Macdonald, Angus Smith
N1 - Publisher Copyright:
© The Author(s), 2025.
PY - 2025/6/23
Y1 - 2025/6/23
N2 - Actuaries must model mortality to understand, manage and price risk. Continuous-time methods offer considerable practical benefits to actuaries analysing portfolio mortality experience. This paper discusses six categories of advantage: (i) reflecting the reality of data produced by everyday business practices, (ii) modelling rapid changes in risk, (iii) modelling time- and duration-varying risk, (iv) competing risks, (v) data-quality checking and (vi) management information. Specific examples are given where continuous-time models are more useful in practice than discrete-time models.
AB - Actuaries must model mortality to understand, manage and price risk. Continuous-time methods offer considerable practical benefits to actuaries analysing portfolio mortality experience. This paper discusses six categories of advantage: (i) reflecting the reality of data produced by everyday business practices, (ii) modelling rapid changes in risk, (iii) modelling time- and duration-varying risk, (iv) competing risks, (v) data-quality checking and (vi) management information. Specific examples are given where continuous-time models are more useful in practice than discrete-time models.
KW - late-reported deaths
KW - mortality shocks
KW - selection effects
KW - survival models
UR - https://www.scopus.com/pages/publications/105009078913
U2 - 10.1017/S1357321725000121
DO - 10.1017/S1357321725000121
M3 - Article
SN - 1357-3217
VL - 30
JO - British Actuarial Journal
JF - British Actuarial Journal
M1 - e18
ER -