Non-country specific
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Meet Hybrid Data: A Blend of Alternative and Traditional Data. A Case Study to Construct an Improved Inflation Index
In the following article, I introduce the concept of “hybrid data,” a combination of alternative and traditional data, which I illustrate through an example on inflation, to be of better value than considering purely a traditional data or alternative data source alone. We present a case where we use alternative data from Zillow, to improve upon the Consumer Price Index (CPI), and thus create an index that is more pertinent to consumers and investors alike. -
Reproducible Research
This article summarizes use of programming collaboration tools and source and version control (SVC) to make research products reproducible. -
Deep Learning in Segregated Fund Valuation: Part 2
This article is the second part of an article that appeared in April 2022 on the Emerging Topics Community webpage. It will discuss the data preparation, hyperparameter tuning and selection, and the training and testing process of the deep learning models. To reach the final conclusions, the article will continue to compare the projected cash flow results from LSTM and LSTM-Attn with those from the traditional method, and evaluate the time series generations of interest rates and equity returns by WGAN and TCN-GAN -
Section Elections: How to Become an SOA Section Council Member
Now is the time to become a candidate for an SOA Section Council. Current Section Council members Joe Alaimo and Kevin Durand walk you through why and how to volunteer for this important leadership position. -
Transforming Group Underwriting Using Artificial Intelligence and Machine Learning
A review of opportunities for using machine learning and artificial intelligence in group health underwriting including cost predictors and predicting behavior and decisions. -
Actuaries Can Excel® at Data Science (Pun Absolutely Intended)
We explore the use of mito, a Python package that allows users to use excel-like point-and-click interface with large datasets in Python. -
Hack-A-Thon
This is a historical account of the predictive analytics Hack-A-Thon sponsored by the SOA. -
Integrated and First Principles Modeling for Hybrid Life and Health Products
This article discusses the two main model types for modeling Hybrid Life and Health products - a claim cost model and an integrated first-principles model - and the pros and cons of each. This article also discusses how these models are constructed in practice, including common approaches and assumptions, and ways to model interplay of assumptions and sensitivities.
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