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: The growing global recognition of the importance of climate-related risks (transition and physical) has triggered a significant demand for research on the interface between climate and actuarial sciences, for example on the impact of risks from climate change on insurance markets and their operations. Furthermore, the systemic nature of climate-related risks underpins actuaries’ need to engage and work with diverse groups of stakeholders, including clients, communities, governments, regulators, boards, and investors. Contributions are invited for a special issue of the Annals of Actuarial Science featuring research on the topic ‘Managing Climate-Related Risks’. This special issue aims to capture leading interdisciplinary thinking, with clear relevance to actuarial problems in pensions and insurance.

Description: Inspired by the Wall Street Bets / GameStop stock episode in January 2021, this article outlines the market mechanics and risk considerations that lead to market failure. The consequences of unfilled buy orders, unfilled short sell orders, and more short shares than long shares are all explained. Also, some steps to protect a financial institution that has been caught shorting a popular company are explored.

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: This is a notice is a call of papers reflecting actuarial and insurance related themes.

Description: Discount rate curve construction has been a topic of renewed interest following recent changes in financial reporting standards. Interpolation is a key component of curve construction and can be conducted via an assortment of methods. This article explores six popular interpolation techniques and assesses how they perform with regards to desirable features of such methods: continuity of forwards, stability and locality, simplicity, and market consistency.