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Mortality curves are
a critical ingredient for the valuation of any longevity-related
product (for example: pensions, life insurance, reverse mortgages).
Typically, several statistical agencies provide mortality curves
differentiated on gender per country. However, it has been
documented that people's mortality prospects differ beyond their
differences in gender. Income, education, job type, etc might all
have an impact on mortality. In this online training, we present 1)
how such distinctive characteristics can be considered in a
mortality model, 2) empirical results (based on Belgian data) and
3) the implications for retirement products valuations. Though the
empirical results are based on Belgian data, many results are
qualitatively in line with other European countries.
The goal of the session is to clarify the impact of various
socio-economic factors on mortality and its impact on the valuation
and risk-management of retirement products. At the end of the
session people will have a good understanding of
- Impact of socio-economic status on mortality rates
- Impact of differences in mortality curves on product
valuations
- Adjusting mortality models to take socio-economic factors into
account.
This session is primarily aimed at people active in the pension and
insurance industry but should not present any major difficulties
for other participants with an interest in the subject. No previous
knowledge of mortality modelling is required. A basic understanding
of mortality rates, finance and general statistics is
assumed.
Your early-bird registration fee is € 120.00 (net) / € 142.80
(incl. VAT, if applicable) for bookings by 2 October 2024. After
this date, the fee will be € 170.00 (net) / € 202.30 (incl. VAT, if
applicable). |
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