Description: This article summarizes key points from the recently published research paper “Deep Learning for Liability-Driven Investment,” which applies reinforcement learning and deep learning techniques to liability-driven investment (LDI).

Description: While the major market crash subsequent to the widespread contagion of the COVID-19 virus was readily predictable, the rapid recovery and ongoing growth subsequent to it was not. Market dynamics around the recovery resist characterization by most traditional analytical approaches. In examining the circumstances around the emergence of a large retail class of investors, one sees that ingrained human tendencies, particularly optimism bias, have fueled much investor behavior responsible for the recovery. Understanding this makes it possible to predict potential future crashes and develop behavioral interventions for subsequent market recoveries.

Description: How to set asset assumption, at the cycle or through the cycle and other considerations

Description: Why Write Variable Products When You Can Put the Money Directly into the Stock Market?

Description: Summary of April 2020 Investment Section Town Hall and come additional commentary.

Description: This article lays out a generic framework on how to hedge a European call option on a non-dividend paying stock using futures in a stochastic interest rate environment.

Description: Overview of Investment Section activity and vision ahead.

Description: This article aimed to make Liability Driven Investing LDI more accessible by providing a simple definition and by showing how plans of different sizes and circumstances may adopt an appropriate LDI approach.