Description: The cyber insurance market looks like it’s growing—rapidly, in fact. However, there’s more to the cyber insurance market than the outward appearance of strong growth. Worldwide aggregate premium’s upward trend may even be cause for alarm. The increase in premium against a flat rate of insured exposure is a key sign that the market could turn from growth to constriction if a solution isn’t found in the near future. If the cyber insurance sector hopes to reach such lofty goals as exceeding $30 billion in global premium by 2028, it’s going to need more capital. Whether directly into the insurance sector or via support from reinsurance and retrocession, fresh capital should help insurers achieve greater market penetration, build a broader foundation for ongoing expansion, and chart a course for long-term sustainable profitable growth. The same sources capital insurers have used since the early days of the market won’t be enough, though. Thankfully, the insurance linked securities (ILS) market seems poised to help, particularly with several promising recent transactions. New sources of capital could bolster the foundation for future cyber re/insurance growth.

Description: The Special Financial Assistance (SFA) program included in the American Rescue Plan Act (ARPA) will provide grants to some of the more troubled multiemployer plans. While this is a welcomed relief for many multiemployer plans facing insolvency, plenty of challenges remain in the implementation of the funds and ability to maintain solvency after the SFA funds are fully utilized. Explore the challenges and opportunities from the pension relief provisions.

Description: This article provides an overview on one of the most budget-, resource- and time-consuming components in an insurers’ IFRS 17 implementation journey in Asia – the Subledger implementation. This article covers the key functionalities of a subledger system, as well as the important lessons learned during the implementation processes.

Description: As actuaries, we’re trained to see patterns in numbers and to design solutions that mitigate risk. But I can tell you from experience that while quantitative analysis and modeling are critical actuarial tools, looking at the numbers alone can lead to insurance products that don’t succeed in the real world the way the math says they “should.” With new digital technologies, we have more data at our fingertips than ever before, but I believe it’s equally as important to bring qualitative research methodologies into your product development process if you want to design solutions that meet real needs in the market. In this article, Amanda Turcotte shares what happens when qualitative research is neglected or ignored, what happens when you incorporate it into the product design process, and how to implement qualitative research practices in your organization.

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: The direct and indirect effects of the pandemic have impacted many actuaries’ work since the spring of 2020. This article addresses three considerations actuaries should account for when using risk evaluation models which are focused on projecting remote, highly unlikely losses: model effectiveness, asset risk, and insurance (mortality and mortality) risk.

Description: Introduces the concept of total risk analysis, a methodology used to answer questions like "what are the chances we will lose more than $1 million"

Description: This article delves into the transformative realm of Business Intelligence (BI) tools. We explore the fundamental functionality and structure of these tools, and through case studies illustrate how they offer valuable insights into carrier experience and underwriting dynamics. From real-time data visualization to in-depth data analysis, discover the essential features that empower businesses to make better informed decisions.

Description: This article highlights the findings of a recent SOA survey on accelerated underwriting (AU) practices, including the amount of AU business ceded, the results of three opinion questions, and an estimate of mortality slippage among AU programs.

Description: Risk Adjustment continues to be a hot topic in Health Insurance since its emergence. This mechanism came into being as a means of reducing the risk of selection, particularly in marketplaces where underwriting is not allowed, and rating factors are significantly restricted. Risk adjustment serves to adjust premiums to reflect the risk of individual members or overall members as a whole within a particular cohort of a health plan. Risk adjustment is not perfect, as it does not perfectly predict future costs or perfectly adjust for the differences in expected costs. Different marketplaces have different challenges with risk adjustment.