10:00am - 12:00pm CEST
Would you like to gain an overview on the powerful tools deep learning techniques are offering in the context of market risk and economic capital modelling as well as asset allocation and actuarial business planning?
If so, we invite you to join our 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 registration fee for the webinar is € 100.00 plus 19 % VAT only.
Dr. Mario Hoerig and Dr. Daniel Hohmann will demonstrate how state-of-the art deep learning techniques can successfully be applied to some of the most relevant and challenging topics in the context of market risk and economical capital modelling as well as asset allocation and actuarial business planning for insurance companies.
The webinar will contain detailed case studies for the application of deep learning for the projection of actuarial cash flows and the Solvency II ratio as well as the prediction of economic time series.
This webinar is for practitioners who want to gain a feeling for applications of deep learning techniques in the context of market risk and economic capital modelling as well as asset allocation and actuarial business planning.
Additionally, EAA offers the seminar ”Deep Learning – Applications in Market Risk and Economic Capital Modelling: Deep dive and practical exercises” on 11/12 November 2019 in Prague in addition to the stand alone webinar. The speakers describing both activities:
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 price.