Description: From a session at the annual meeting of the Society of Actuaries held in Chicago, Illinois, October 15-18, 2000 Panelists discuss the changes these companies were making, the experience so far as a public company, and how investors are viewing them.

Description: From a session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 Panelists use recent transactions and examples to demonstrate various operational, financial reporting and strategic aspects of insurance company mergers.

Description: 1992 SOA Annual Meeting, Washington, D.C. The stated purpose of this session was to discuss specifically how a company can manage and improve its financial performance as measured by the statutory financial statement. Eleven strategies to improve performance were addressed.

Description: The article provides a brief background on the issue of modeling non-guaranteed reinsurance under Life princple-based reserving and explores how temporary solutions are impacting insurers as well as the journey to a long-term solution

Description: Risk adjustment is needed under IFRS 17 to reflect the compensation that a company requires for bearing the uncertainty about the amount and timing of the cash flows that arises from non-financial risk. Companies are also required to disclose the method and confidence level used for the calculation of the RA. However, IFRS 17 doesn’t specify a method and a confidence level, nor does it provide a list of specific risks that are considered to be non-financial risk. Companies need to define them based on their own preferences or existing practices. This article will introduce available approaches and discuss the confidence level approach with potential consideration stemming from industry preferences and illustrative examples.

Description: 1974 SOA Meetings, Dallas and Montreal. This paper is the digest of discussions held at concurrent sessions of the referenced meeting. Topics covered: 1. CORPORATE FINANCIAL MANAGEMENT OF STOCK LIFE INSURANCE COMPANIES. 2. PENSION FUNDING ASSUMPTIONS. 3. DIRECTIONS AND GOALS OF ACTUARIAL RESEARCH. 4. VARIABLE LIFE DEVELOPMENTS. 5. LIFE INSURANCE AND CONSUMERISM. From Transactions of the Society of Actuaries 1974, Vol. 26, Pt.2D, No. 75 AB.

Description: LDTI’s introduction has forced many insurers to examine their existing operations and technologies. They must determine how to optimize compliance efforts while balancing data, analytics and system modernization considerations to achieve maximum value. This article will examine the four key facets—the data, technology, processes, and people—essential to any successful LDTI exercise. It will also touch on the various approaches for tackling LDTI and how a modernization mindset can help insurers realize much greater transformation for the business.

Description: Key performance indicators (KPIs) are essential in order to monitor and communicate a life insurance companies’ financial results, and effectively manage the business. This presentation will illustrate how the currently used KPIs may develop and evolve with the adoption and implementation of IFRS 17. Will the IFRS 17 insurance revenue be an appropriate measure for growth? Will the profitability and new business value measures be different? The panelists will discuss the implications of IFRS 17 on the existing KPIs and the possible changes that may lay ahead

Description: This article reviews why financial reporting controls are relevant to actuaries. It also discusses the impact of LDTI on controls and the strategic decisions that insurers need to make.

Description: There is a lot of focus on GTI and its impact on modeling, methodology and transition. However, given the dependencies that exist on the data infrastructure, the implementation of the guidelines is an ideal opportunity to also streamline and improve data storage, data transformation, and reporting processes to create an efficient, effective and scalable data solution. This session will focus on the specific impacts and possible solutions to the following data processes: In force data Experience studies and assumption setting post model data feeds and subledger processes Data warehouse and reporting systems