Description: Ever wanted to do a Kaggle data science competition, but didn't know where to start? This presentation meets the needs of actuaries interested in predictive analytics and competitive data science. The presentation will describe the nature of competitive data science, and provide insights into lessons learned by competing in the Airbus Ship Detection Challenge at Kaggle, as well as other Kaggle competitions. The presenters will provide an introduction to neural networks and describe the nature of the Airbus Ship Detection Challenge and other Kaggle competitions, plus a solution approaches that can be used to obtain top scores using Convolutional Neural networks (CNNs), random forests and boosted trees.

Description: It is well-known that reinsurance can be an effective risk management technique for an insurer. An appropriate use of reinsurance reduces the adverse risk exposure of an insurer and improves the overall viability of the underlying business. The use of reinsurance, on the other hand, incurs additional cost to the insurer in the form of reinsurance premium. This implies that an insurer is faced with a classic tradeoff between risk spreading and risk retaining. The thrust of my research is to propose some reinsurance designs that are optimal from the perspective of an insurer. This presentation describes an empirical approach to optimal reinsurance designs. This new method has the advantage that it does not need to make any explicit assumptions on the distribution of the underling risk. More importantly, it provides a simple and yet practical way of obtaining solution on a wide range of optimal reinsurance models.

Description: This abstract describes a paper that explores the answers to the questions of: 1. How is each view of FRVs conceptualized? 2. What are the differences and similarities between the metrics for each of these views? 3. How are the metrics for these three views implemented?

Description: The problem of finding the distribution of sums of lognormally distributed random variables is discussed. References going back to the 1930’s are given, as well as some possible solutions. A formula for the characteristic function of one lognormal is stated, and then the moments and distribution of the logarithm of sums of lognormals are considered.

Description: This presentation from the 2011 46th Actuarial Research Conference is about the Haezendonck-Goovaerts risk measure for extreme risks.

Description: Excel file model of the Impact of Social Distancing on the Spread of a Communicable Virus.

Description: This is the user guide for the forecasting tool for the project Modeling and Forecasting Cause-of-Death Mortality by Socioeconomic Factors.

Description: This report introduces quantum computing to actuaries. In addition, this research will assess and identify areas in the insurance field where quantum computing can make a difference, accompanied with suggested algorithms.

Description: The American Academy of Actuaries and the Society of Actuaries have joined resources to maintain this Economic Scenario Generators Excel Workbook tool for use in regulatory reserve and capital calculations. Please see the SOA website research pages for further information on this tool and how to use it.

Description: Prepared for the Society of Actuaries by STATLAB at the University of Western Ontario, this report contains the results of a cash flow testing, ‘CFT,’ software survey performed in 2004. The results were based on the responses of 110 life insurance companies in the U.S. and Canada. The goal of the survey was to produce a report that will serve as a reference for comparing the available CFT packages and lead to better software and modeling techniques. CFT refers to analysis which is used to support both the Asset Adequacy Analysis for the Actuarial Opinion for U.S. companies, and the ALM Provision for Adverse Deviations in applying the Canadian Asset Liability Method to determine reserves for Canadian companies.