Description: GDP growth has slowed as numerous headwinds have emerged. This article summarizes a research paper by Mark Alberts and Max Rudolph that addresses reasons why this is so and how risk managers can address using scenarios.

Description: Last March, Dirk returned to Germany after a business trip to Asia, which was cut short due to COVID-19. Ten months later, on the anniversary of Wuhan lockdown and first confirmed case in Japan, Dirk is back in Tokyo.

Description: The Asian insurance landscape is undergoing significant change, with Japan experiencing a surge in reinsurance activity. This webcast will explore the factors driving this growth and provide insights into the current state and future direction of the Japanese reinsurance market. We'll delve into the unique characteristics of the Japanese market, examining the specific reinsurance needs of Japanese life insurers and how partnerships with US and offshore reinsurers are evolving. Looking ahead, we'll analyze the expected trajectory of the market, including the types of business and products likely to see increased demand. We'll also discuss how emerging economic factors and regulatory changes will shape future needs and the competitive landscape. Join us to gain valuable insights into this dynamic market and its future potential.

Description: Recent and potential near future extreme experiences are leading us to a new normal rather than back to the prior environment. Learn more about several examples of past Regime Changes along with a detailed discussion of how recent disruptions lead toward a persistent change in the business, social and political environment. Come develop an understanding of these drivers of change as well as the likely impacts on the Financial Services industry.

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.

Description: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"

Description: Worried about the latest wildfires? Can't keep up with the latest geopolitical landscape? Wondering how close AI is to taking over? Join us as we discuss the results of the 18th edition of the Emerging Risk Survey. This is an annual survey which is jointly sponsored by the Casualty Actuarial Society and the Society of Actuaries Research Institute.

Description: In this session, presenters will share the impacts of transition to IFRS 17 on equity and various KPIs across insurance companies (Life & P&C), as well as share some observations of what the IFRS 17 landscape looks like across different global regions. The session will conclude with lessons learned and expectations for emerging practices under IFRS 17 globally.

Description: What can the United States learn from other countries' health care systems? How are other countries more efficient? We selected five countries that have been among those debated as having some of the most efficient health care systems to explore what the United States can learn from these examples.

Description: This report models and forecasts future mortality improvements in China, by geographical regions, as well as by causes of death. Deaths and population exposures data provided by the Chinese Center for Disease Control and Prevention was used for the period 2004–2019.