Date:11 March 2024
08:30 AM EDT| 12:30 PM GMT | 21:30 PM JST

In this webinar, we will focus on the investment aspect during COVID-19. The presentation
will consist of the following two parts:

1. Limitations of the financial projection models during COVID-19
How accurately were insurance companies' financial projection models able to predict the impact
of COVID-19? What are the constraints of these models and considerations for model
improvements?
This webinar demonstrates that financial projection models during COVID-19 are better suited to
the Skew Laplace distribution for predicting stock returns than the Normal distribution.
An introduction to a prediction model using this distribution will be presented.

2. A Study on Regime Shift in Major Stock Markets during COVID-19
The global economy demonstrated strong resilience against COVID-19 and achieved a faster
recovery than typical predictions. Applying a methodology introduced at ICA2023, we analyse
major stock indices, the US S&P, European STOXX, and Japanese TOPIX, and identify four typical
regimes for the recovery process during COVID-19. Furthermore, each index will be examined
across different sectors to classify them into four categories based on resilience: resistance and
recovery characteristics.