The seminar will cover a wide range of topics presented in the book “Stochastic Modeling – Theory and Reality from an Actuarial Perspective”. The first day of the seminar will focus on risk management and actuarial modeling issues. The day will start with an introduction to stochastic modeling, including a practical discussion of when stochastic models are appropriate or necessary and when they may not be. The day continues with a case study designed to be of interest to actuaries in all practice areas.
The second day (and the morning of the third day) of the seminar will be split into two separate sessions, one that will focus on life actuarial issues and the other will focus on non-life actuarial issues. In the life session, the lecturers will present stochastic models for interest rates, mortality, and morbidity, among other risk factors, and will demonstrate how these models can be developed, calibrated, implemented and reviewed. This will also involve detailed case studies illustrating the use of stochastic models in life insurance business.
In the non-life sessions, the lecturers will present an overview of stochastic models, including triangle based, frequency / severity, catastrophe financial and dynamic risk models, and will demonstrate how these models can be developed, calibrated, implemented and reviewed. Building on this overview, the lecturers will then take you through a deeper look at the Mack and ODP Bootstrap models and discuss the calculation of one-year reserving risk. As with the life session, the early sessions will focus on the technical aspects of stochastic models and the later sessions will be a case study format intended to demonstrate the practical application of these models.
The third day will continue the separate life and non-life sessions in the first session. In the second session, we will again have a joint session to discuss a concluding case study.
All participants will receive a copy of the book “Stochastic Modeling – Theory and Reality from an Actuarial Perspective” which is presented by the International Actuarial Association (IAA) in collaboration with Milliman. A guide for practitioners interested in understanding this important emerging field, this book presents the mathematical and statistical framework necessary to develop stochastic models in any setting (insurance or otherwise). Sufficient mathematical detail is presented but no advanced background in mathematics or statistics is required.