Ronald H. and Mary E. Simon Lecture in Actuarial Science - Steve Kolk
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Thursday, October 25, 2018
1:00PM - 3:00PM - Of Mathematics, Actuaries, Sea-Level Rise, and Extreme Risk Quantifications - Stephen Kolk - S105 South Kedzie Hall
3:00PM - Actuarial Science Student Presentations - S105 South Kedzie Hall
- Fatimah Alshahrani - Mean-Reverting Processes with Gumbel Noise, and Modeling of Sea-Level Rise Risk
- Karthik Prasad - An 18-Year-Old Traveling Through Time: An Implementation Stochastic Mortality Models From 1933 to 2015
- Tim Blumenschein and Spencer Crough - Analyzing Retirement Withdrawal Strategies
- Marilla Marks and Gaozhan Wang - Financial Mathematics and Actuarial Science
5:30PM - Reception - Big Ten B, Kellogg Center
6:30PM - Dinner and lecture - Extreme Value Theory and Quantification of Climate Risks - Stephen Kolk - Big Ten C, Kellogg Center
About the Keynote Speaker, Stephen Kolk:
Steve Kolk is president of Kolkulations, LLC, a risk analysis consulting firm that deploys data mining, predictive modeling and geospatial technology to drive client profitability. A sought-after speaker, Steve is considered one of the nation’s foremost actuarial experts in climate change.
Having 40 years of property & casualty actuarial experience, the Michigan native serves as a member of the Climate Change Committee of the North American Actuarial Societies, which constructed the first-of- its-kind Actuaries Climate Index. Launched in 2016, the public index reveals climate risk trends on a quarterly basis.
For the American Academy of Actuaries’ Extreme Event Risk Committee, he co-authored the Flood Issue Brief for the U.S. Congress this year. As a volunteer advisor to the U.S. Department of Transportation, he co-authored the award- winning report, Hampton Roads Climate Impact Quantification – Baseline Assessment in 2016.
While serving as chief actuary and senior modeler at CoreLogic, Kolk applied geospatial and modeling technologies to develop scientific catastrophe models and new products, including the company’s Hazard Risk Score, which blends nine catastrophic property hazards to be the modeling company’s best mortgage-default predictor.
He graduated with honors from Calvin College in Grand Rapids with a
B.A. in mathematics.
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