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Newsletter on EAA Web Sessions - Benefit from our Early
Bird Rates
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Book now and save money!
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Benefit from discounts for many EAA web sessions taking place in
autumn 2022 with early bird rates in September and October 2022.
These online trainings cover topics such as
- Resilience,
- Machine Learning,
- Solvency II,
- Inflation and
- Cyber Insurance.
Furthermore, you are invited to visit our website for all
published online trainings
here.
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Web Session: "Resilience for Actuaries" on 2-4 November
2022, 9:00-13:30 CET
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For more than two years now, we have involuntarily found
ourselves often in unknown territory, maybe even too often! Things
that had never been imagined in any scenario analysis did happen.
We needed and still need to quickly adapt to an ever-changing
environment as we don't know what the future holds for us. While
trying to juggle with all that adaptation, it also means that
"business as usual" needs to get done.
Needless to say, that "business as usual" can also bring its share
of challenges and stress with time-consuming projects (e.g. IFRS
17), ad-hoc queries and analyses and back-to-back meetings.
While actuaries are experts at quantifying risk and uncertainty in
their sleep, being awake in the new normal can bring its load of
(new) uncertainties that can't be quantified but need to be managed
at a personal level. To build resilience is like to build a robust
internal re-assurance program for you! You'll be in a better
position to absorb shocks and volatility, even when things seem out
of control.
Your early-bird registration fee is € 600.00 plus
19% VAT until 21 September 2022. After this date,
the fee will be €780.00 plus 19% VAT.
further details
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Web Session: "Machine Learning: More Art than Science?"
on 8 November 2022, 9:00-12:00 CET
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The notion of machine learning is truly omnipresent in these
days. In this web session we thus give participants an introduction
to this interesting field and show machine learning techniques. We
learn how we are able to implement a workflow and give an overview
of several methods such as random forest, gradient boosting, and
neural networks. A vital step of machine learning algorithms is the
development and training phase of models, in particular, in order
to build up powerful applications. Do machine learning models have
to be black box applications or are we able to bring light into the
darkness? This is a vital question from a practical point of view,
which we answer in this web session. Companies are concentrating
more and more on using machine learning for several applications,
and, therefore, it is important to have a closer look at the
current regulatory requirements.
By focusing on all these aspects of machine learning, we give
practical examples from the insurance and banking industry: we
provide Python codes such that participants directly see how
machine learning workflows can be implemented.
Your early-bird registration fee is € 150.00 plus
19% VAT until 27 September 2022. After this date,
the fee will be € 205.00 plus 19% VAT.
further details
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Web Session: "Solvency II Internal Models: Which
Techniques for A New Wave?" on 9 November 2022, 10:00-12:00
CET
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In the context where further new capital models are under recent
development, especially in Europe under Solvency II, the aim of
this web session is to provide an overview of the recently
developed modelling techniques related to the derivation of full
distributions for the calculation of the capital requirement within
Internal Models.
The web session will provide a specific emphasis on enhancements
of the Least Square Monte Carlo (LSMC) method, including refining
their calibration and validation, as well as the development of the
so-called Multi-Level Monte Carlo (MLMC) method, allowing for a
smart allocation of the inner and outer simulations in any Nested
Simulation approach.
Your early-bird registration fee is € 100.00 plus
19% VAT until 28 September 2022. After this date,
the fee will be € 140.00 plus 19% VAT.
further details
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Web Session: "How Can Actuaries Tackle Inflation and its
Consequences?" on 16 November 2022, 9:00-15:45 CET
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The learning objectives of this course are:
- Understand the various forms of
inflation and its historical impact
- Understand the drivers for inflation and
the indicators to be monitored
- Practise the vulnerability analysis of
the business model
- Understand the potential risk mitigation
actions
Why should you attend this course?
If one of the following descriptions fits to your situation, the
course might be exactly right for you:
- You are responsible in the second line
for (financial) risk management and you want a handle on inflation
risk,
- You have senior management
responsibility and you would like to understand your options to
mitigate inflation,
- You are working in general insurance and
you would like to understand where your business is vulnerable to
inflation,
- You are responsible for product
management in your organisations and you would like to understand
the impact of inflation on your product settings,
- You need to reflect the inflation risk
in your ORSA.
Your early-bird registration fee is € 250.00
plus 19% VAT until 5 October 2022. After this
date, the fee will be € 335.00 plus 19% VAT.
further details
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Web Session: "Numerical Tools for Cyber Insurance" on
21/22 November 2022, 9:00-12:30 CET
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With the rise of digital economy, cyber risk has become a major
concern for all customer segments. The cyber-insurance market is
increasingly developing but with important uncertainties on the
real value of the guarantees, due to the nature of the risk itself.
The emerging and evolving nature of cyber risk, its potential
systemic, with potential very large claims, make the evaluation of
this risk challenging.
This session provides numerical tools to help evaluating the
systemic component of cyber risk as well as its potential
catastrophic nature. For a better quantification of cyber risk, we
present numerical experimentations, both for the severity component
(size of the claims) using extreme value theory, and the frequency
component (self-excitation and clustering features) using Hawkes
processes. The session is organized around tutorials for a better
understanding and practical application of the concepts and
algorithms.
Your early-bird registration fee is € 300.00 plus
19% VAT until 10 October 2022. After this date,
the fee will be € 400.00 plus 19% VAT.
further details
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Web Session: "Deep Learning with a Focus on Text
Analysis" on 24/25 November 2022, 9:00-17:00 & 9:00-12:30
CET
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Deep learning (DL) pertains to the field of artificial
intelligence and is great at extracting and mastering the often
highly non-linear patterns of a given process, whatever this
process might be. The only main requirement is the availability of
a large amount of data that describes the behaviour of the process
under different conditions and a truckload of computational power.
However, since the price of data storage and the effort of sampling
data has dropped dramatically over the last years, and since
Moore's law on the increase of computational power does even
nowadays not show any signs of a slowdown, fitting deep learning
models that are able to produce extremely useful predictions are a
reality and this already for some years now.
The main purpose of this web session is to get the participants
acquainted with DL models, and applications on text analysis will
help achieving this. To this end, a healthy mix between theory and
practice will be provided, however, it is important to note that
some time will be spend to go through the theoretical foundations
of neural networks and hence DL, as the inner workings of these
models are a bit different from the ones of the classic statistical
models.
Your early-bird registration fee is € 450.00 plus
19% VAT until 13 October 2022. After this date,
the fee will be € 585.00 plus 19% VAT.
further details
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