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In a context of
widespread instability, the actuarial analysis of emerging risks
takes on particular importance to facilitate the adaptation of
insurance to these profound changes. Whether it be old risks with
poorly anticipated consequences (such as the epidemiological risk,
as demonstrated by the recent Covid-19 crisis, whose consequences
can significantly exceed purely healthcare boundaries), risks
undergoing strong and worrying evolution (such as climate risk), or
more recent risks (such as cyber risk), the task of actuaries is
particularly delicate. The lack of data is notably a hindrance to a
rigorous approach to these important questions. This training aims
to lay the groundwork for a scientific approach to this problem and
to introduce some tools for discussing the insurability of these
new risks.
This session will notably have two main angles. Firstly, it will
raise the question of data, their quality, and the necessary
reliance on expert judgment, crucial for risks where experience is
limited. Bayesian analysis notably allows for this integration, but
does not exempt from a critical examination of the quality of
expert data, and we will thus present some methods to attempt to
evaluate it. Secondly, we will examine the shift from a "historical
data" approach to a "scenario-based" approach. Because while the
notion of scenario allows for anticipating situations never
encountered before, their design must adhere to scientific
standards to avoid being purely speculative.
A simplified illustration of these issues will be provided during
the training. An R notebook will allow participants to follow and
adapt the implementation without needing an in-depth knowledge of
the software.
Your early-bird registration fee is € 360.00 (net) / € 428.40
(incl. VAT, if applicable) for bookings by 25 September 2024. After
this date, the fee will be € 475.00 (net) / € 565.25 (incl. VAT, if
applicable). |
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