Description: The 1986-98 Credit Risk Loss Experience Study represents a continuation of the 1986-94 study analyzing credit loss experience by institutional investors on private placement bonds. The study measures incidence rates, loss severities and economic loss rates associated with credit risk events for privately placed debt during the years 1986-98.

Description: 2011 SOA ERM Symposium, Chicago. This paper addresses the contradiction between the financial theory of hedging and management practice. It also examines how consistent hedging policy is incompatible with management’s competencies and role in the company, requiring management to form strong future price expectations. Finally, this paper describes a process that management actually follows when making decisions about hedging and stress the role of the expectations discrepancy in this process.

Description: This paper introduces the symbolic valuation, a stochastic valuation which allows flexible interest rate and cash flow assumptions, and provides an illustration which values a simple SPDA product. From Actuarial Research Clearing House 1992, Vol. 1.

Description: This article addresses the concern that while risk assessment models are supposed to help identify and reduce risk, they can be a source of risk themselves. A new report released by the Canadian Institute of Actuaries in August 2008 helps address that potential problem by providing useful guidance to actuaries who are charged with designing, implementing and using advanced models.

Description: This session discussion is about the actuary should be aware of techniques that are available to compare the expected returns from many different types of investments. Understanding these techniques will assist the actuary in pricing many of today's insurance products as well as measuring their ongoing profitability. From Record of the Society of Actuaries Vol. 15, No. 2.

Description: The Life Meeting, is the result of combining the Life & Annuity Symposium (LAS) and the Valuation Actuarial Symposium (ValAct). The Life Meeting will offer sessions specific to pricing and valuation as well as sessions on emerging issues relevant to both groups. These common themes include InsurTech, diversity, accounting change and the current economic environment.

Description: This paper reviews the main methodological questions underlying the theoretical pricing of catastrophe insurance futures. From Securitization of Insurance Risk: The 1995 Bowles Symposium, M-FI978-1.

Description: This article discusses the Insurer Solvency Assessment – Towards a Global Framework report prepared by the IAA Insurer Solvency Assessment Working Party WP. The conclusions of the report are consistent with the three pillar approach to the regulation of financial service entities that is reflected in the Basel Accord for the regulation of banks internationally. The pillars are: Pillar I: Minimum financial requirements. Pillar II: Supervisory review process. Pillar III: Measures to foster market discipline.

Description: Catastrophic insurance futures are being traded, albeit thinly, at the Chicago Board of Trade. This paper examines the broad context for trading insurance risk. The motivation for trading insurance risks, specifically to increase the capacity to cover risk, is discussed. From Securitization of Insurance Risk: The 1995 Bowles Symposium, M-FI97-1.

Description: Modeling Approaches and Challenges focuses on approaches to real world simulation and the challenges and considerations in real world simulation. Topics include: A frequency domain approach to build realistic multi-horizon scenarios. (Ortec approach) Cascade models structure linking models for major asset classes and economic variables. (Moody’s approach) Overview of models, calibrations & approaches within the context of different use cases. Deterministic & stochastic approaches. Importance of model re-calibration flexibility. We will also discuss specific insights into considerations and challenges in real world simulation, which include topics like: Setting capital market assumptions and/or calibration targets. Assumptions about correlation and causality. Calibrating the model to capital markets assumptions. Validating the model against capital market assumptions. Role of history, market data and stylized facts. Importance of back testing. Calibrating the model to multiple investment horizons. Inclusion of alterative asset classes such as private equity, infrastructure, and direct real estate. Associated issues of limited data, illiquidity and greater uncertainty about calibration targets.