11/12 Nov 2019 in Prague
Deep Learning–Applications in Market Risk and Economic Capital Modelling: Deep dive
Deep learning techniques represent a certain part of wider machine learning methods and have become increasingly popular for a variety of real-life applications solving complex high-dimensional problems.
So far, typical applications for deep learning architectures such as deep neural networks and recurrent neural networks include speech and pattern recognition, language processing, audio recognition or machine translation. In all these applications, deep learning techniques were able to yield break-through results due to their highly flexible and innovative architectures and their approach of training models towards a set of given data.
Hence, given the variety and complexity of problems in the insurance industry combined with the typically large amounts of available data, practitioners have started applying these techniques in the insurance industry.
This seminar will exclusively focus on applying deep learning techniques for market risk modelling and the wider economic capital modelling space as well as asset allocation and actuarial business planning which represent areas of great importance for insurance companies where deep learning techniques have typically not been widely used before. Main goal of the seminar is to present relevant tools and techniques from deep learning and bring them together with applications in market risk, economic capital modelling, asset allocation and actuarial business planning. Examples are proxy modelling, projecting cash flows and economic balance sheet items (incl. the Solvency II ratio) in the future and prediction of economic time series.
The seminar will be highly practical; all major applications presented in the seminar will be followed by hands-on sessions where the participants will be able to implement the techniques under supervision and apply them to data sets.
Additionally, EAA offers the webinar „Deep Learning – Applications in Market Risk and Economic Capital Modelling: Overview on current state-of-the-art techniques” on 25 September 2019 | 10:00 - 12:00 CEST. The speakers describe the difference between the webinar and the seminar as follows:
The webinar provides an overview on current state-of-the-art techniques and illustrates them based on two case studies, while the seminar offers a deep dive into these techniques providing more and additional technical and theoretical background and allows the participants to apply DL techniques themselves under the guidance of the speakers.
Participants of the webinar who also take part in the seminar in Prague will get a discount of € 50.00 on the seminar fee.
Organised by the EAA – European Actuarial Academy GmbH in cooperation with the Česká společnost aktuárů.
The practical sessions will make use of Keras, Tensorflow and R. Guidelines on how to install these tools on your own laptop will be provided several weeks prior to the beginning of the seminar. Technical support regarding the installation will be provided during the seminar, if necessary.
No special prior knowledge is required.
Purpose and Nature
Dr. Mario Hoerig, Partner, Oliver Wyman ActuarialMario Hoerig is a Partner with Oliver Wyman, co-leading the actuarial services offering in the German speaking markets. Mario focuses on quantitative modelling under Solvency II (economic scenario generators for risk-neutral and real-world purposes, ALM studies, risk factor modelling for Solvency II, risk aggregation, economic capital and capital management) and advises some of the largest insurance companies in Europe on these topics.
Dr. Florian Ketterer, Principal at Oliver Wyman Actuarial Services Florian Ketterer is Principal at Oliver Wyman Actuarial Services in Dusseldorf. He specializes in advising life insurance companies and focuses on quantitative risk modeling and market risk validation, risk aggregation and proxy modeling.
Fabrizio Ronca, Senior Consultant at Actuarial Services in MunichFabrizio is a Senior Consultant at Oliver Wyman Actuarial Services in Munich. He has gained various experience with applying deep learning techniques in the context of risk modelling and focuses on quantitative risk management topic.
Venue & Accommodation
The seminar will take place at the
Angelo by Vienna House PragueRadlická 1g150 00 Praha 5, Czech RepublicPhone: +420296882707 https://www.viennahouse.com
We have arranged special prices for accommodation. The special rate is 115 € per night in a classic single room including breakfast and VAT. It is valid for bookings by 1 November 2019 out of our allotment “EAA Seminar”. Our allotment includes a limited number of rooms. Kindly book your accommodation directly with the hotel using this booking form, and note the hotel’s cancellation policy.