Description: Automobile insurers classify the risks that they underwrite in order to subdivide the portfolio into classes of risks with similar profiles. While some insurers may have sufficient historical data, several others may not have significant volume of experience data in order to produce reliable claims predictions to help enhance their risk classification systems. A database containing a pooled experience of several insurers thereby helps to produce a more fair, reliable, and equitable premium structure for all risks concerned. This paper uses multilevel models to analyze the data on claim counts provided by the General Insurance Association of Singapore, an organization consisting of most of the general insurers in Singapore. The multilevel nature of the data is due to the following: a certain vehicle is observed over a period of years and is insured by a particular insurance company under a certain 'fleet' policy. The authors show how intercompany data lead to a priori premiums and a posteriori corrections to these initial premiums. Specific focus is made in understanding the intercompany effects using various count distribution models [Poisson, negative binomial, zero–inflated and hurdle Poisson]. The performance of these various models is compared the authors also investigate how to use the historical claims of a company, fleet and/or vehicle in order to correct for the premium initially set.

Description: Premium computation in a Bayesian context requires the use of a prior distribution [structure function] that the risk parameter follows in the heterogeneous portfolio. This paper contributes to the analysis of credibility theory by identifying the unique relationship between the prior distribution and credibility formula. The latter corresponds to a suggestive form of expressing the premium to be charged to a policyholder as a weighted sum of the sample mean and collective premium. Results for net premium principle and Poisson and negative binomial likelihood functions are shown.

Description: Recent articles addressed the subject of fuzzy regression [FR] and the term structure of interest rates [TSIR]. Their approach relied on possibilistic regression. Although possibilistic regression has been used in many applications, it has a number of limitations, not the least of which is its nebulous relation to the least-squares concept. As an alternative to possibilistic regression, this paper uses fuzzy least square regression to investigate the TSIR.

Description: Because of the growing significance of Enterprise Risk Management, it is critical to consider how ERM responds and relates to circumstances and conditions. In particular, one megatrend currently impacting our world and our understanding of the economy is the emergence of a behavioral economics perspective. This paper describes the nature of behavioral economics, and considers the potential impact of such a perspective on ERM. From Actuarial Research Clearing House, 2012, Vol. 1.

Description: This is an Excel 2003 spreadsheet that accompanies the research report entitled 'The Effect of Deflation or High Inflation on the Insurance Industry.' It models scholastically the effects of inflation and deflation.

Description: Research the impact of illiquid investments on pension plan funding, design, and risk management strategies.

Description: This is a Request for Proposals document issued by the SOA Research Institute, focusing on developing a framework for actuaries to bridge the gap between climate scenario outputs and actuarial assumptions. It outlines the background, research objectives, proposal requirements, selection process, submission guidelines, and appendix with cost estimates.

Description: The CIA, SOA and Joint Risk Management Section of the CAS, CIA, and the SOA sponsored a whitepaper on the application of ERM at a federal government level.

Description: The Society of Actuaries Smaller Insurance Company Section, the Financial Reporting Section, and the Committee on Life Insurance Research are pleased to make available new research investigating simplified methods for determining reserves under VM-20.

Description: This report was developed by the CESRC as an update of one Rob Erhardt prepared in 2016 that compiled a collection of sources that deal with what scientists know and what actuaries could do. Sources have been chosen with practicing actuaries and the public in mind. In the original report, nearly all governmental sources come from the United States. In the update an attempt was made to include sources from actuarial bodies and regulators worldwide. Please let us know if you have a source we did not include as it is anticipated that the SOA will continue to update a list of sources for these topics in the future.