Description: Discusses how a small health insurance company may be able to create and successfully maintain its wealth through careful actuarial model considerations used in calculating reserves. A traditional and a conservative approach to calculating the reserves are compared. The conservative approach was found particularly useful when estimating reserves for an individual health insurance company with numerous product lines each relatively small in volume.

Description: This report looks at identifying drivers of systemic risk to China’s insurance industry and develops a measurement method for systemic risk as well as systemic risk dependence between the insurance industry and other industries.

Description: In summary, the goal of this report is to foster better industry-wide education, training and practice that decreases the future range and scope of what leading risk management professionals will henceforth label as being unpredictable as events now commonly thought to be so.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: This paper cautions against using expected utility theory for measuring insurance risk, because of the numerous inherent difficulties associated with it. Instead, an approach for loading gross premiums that is based on risk-measure functions is explored. Discussions of this paper are included.

Description: In recent years a lot of time has been spent discussing a variety of different ways to measure the performance of an insurance company. One of the dominating concepts in the discussion of this has been 'Economic Capital' and with this the question of allocation of the [Economic] Capital with the intention of introducing a risk related measure of performance. In this paper, the authors view the performance measuring as a question of determining the appropriate distribution of a risk loading for participants in a risk pool having the overall risk priced by an actuarial premium principle. They show that the covariance principle can be found as the optimal solution to this risk sharing problem and show that the covariance principle fulfills some reasonable requirements. They furthermore suggest how the covariance principle can be at the basis of a target setting procedure for a multi-line insurance company.

Description: This is the full report summarizing the results of the 2017 Emerging Risks Survey, the eleventh in the series.

Description: This research report is on the incorporation of flood and other catastrophe model results into pricing and underwriting.

Description: This research report summarizes methodologies used for yield curve extrapolation to value liability cash flows that extend beyond the maximum observavble portion of the yield curve.

Description: In his original monograph on portfolio selection, Markowitz [1952] discusses the tradeoff between the mean and variance of a portfolio. Since then, especially recently, much attention has been focused on asymmetric distributions to minimize risks with given return goal for investors who have special skewness preferences. To address this issue, this paper extends Krokhmal et al. [2002]’s approach by adding CVaR-like constraints to the traditional portfolio optimization problem. The CVaR optimization technique has the advantage of reshaping either the left or right tail of a distribution while not significantly affecting the other. Specifically, this approach is used to manage the skewness of asset-liability portfolios of financial institutions. In addition, the CVaR-like constraints approach is compared with traditional Markowitz method and some other alternatives such as, the CVaR approach [directly optimize CVaR], the Boyle-Ding approach as well as the mean-absolute deviation [MAD] approach. Numerical analysis provides empirical support for the superiority of CVaR-like constraints approach in terms of skewness improvement of mean-variance portfolios.