Most Recent Webinar
Post-Simulation Modeling
Speaker: Chris Gross, Gross Consulting
Description:
Stochastic simulation is a useful technique for modeling results of complicated problems having many random components and interdependencies. Whether by design or not, such simulation models often become black boxes which can be problematic for acting on results. Also, imperfect convergence of the pseudo-random results, particularly at a detailed level can lead to sub-optimal conclusions. For both of these reasons, it is very helpful to build models of the simulation results themselves. While these take the form of predictive models, it is really as an explanation, simplification, and convergence improvement that these models are useful. Some examples where such post-simulation models are useful include claim life-cycle models, catastrophe models, and DFA models. The approach will be described and we will also discuss concerns around contract issues regarding third party software where reverse engineering of models is prohibited.
Register For Future Webinars At: http://www.cgconsult.com/MuSigma
Watch Previous Webinars
- 2022-03: Post-Simulation Modeling
- 2022-01: Selling a Model to a Diverse Group of Stakeholders
- 2021-10: Actuarial Policy Reserves
- 2021-08: Better Internal Management Reporting for P&C Insurers
- 2021-07: The Complement of Credibility in Predictive Modeling (Intentional or Not)
- 2021-06: A Primer on Federal Crop Insurance
- 2021-04: 10 Reasons Why Every Actuary Should Know Python
- 2021-03: Towards A Holistic Approach for Managing Reserve Risk
- 2021-02: Get the Most Out of Your Test Data
- 2021-01: What’s It Worth? Quantifying the Impact of Predictive Models
- 2020-12: Assigning “Minimum Variance” Weights to Reserve Methods
- 2020-11: Identically Distributed? Don’t Bet On It!
- 2020-10: Building a Cloud Data Analytics Platform
- 2020-09: Practical Predictive Modeling for New Modelers (and Their Managers)
- 2020-08: The Biggest Problem With Your Pricing Model…
- 2020-07: ERM: One Actuary’s Perspective
- 2020-06: Data Visualization for Actuaries
- 2020-05: From What to Why: Delivering Meaning From the Model
- 2020-04: Predictive Modeling Targets (You May Not Have Considered)
- 2020-03: Actuarial Case Reserves
- 2020-02: Topic Modeling Using LDA
Presented by Gross Consulting, the MuSigma Webinar Series is an excellent opportunity for actuaries and insurance professionals to engage in free, interactive, and relevant content designed to provide quality continuing education.