Description: Essays advocating for incentive compensation linked to the level of risk in an organization.

Description: The system of using securities exchanges and commodity futures contract exchanges is inadequate to the task. Neither can transfer the risks of derivative financial contracts to the capital markets. Regardless of the degree of regulation or the financial incentives, this system is insufficient. A new type of exchange is needed that copes with fast price changes – even from “long” to “short” – without inviting bankruptcy.

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: Panelists discuss the importance of credit-worthiness to the customer of an insurance company, a brief history and description of the Standard & Poor's and Moody's rating systems, the efforts an insurance company goes through in obtaining ratings by outside agencies, the efforts required to maintain the ratings, and the importance of the ratings to the insurance company. From the 1987 Record of Society of Actuaries Vol. 13, No. 3.

Description: Managed strategies as underlying investments in VA/FIA products have seen spectacular growth since the financial crisis. The speakers of these sessions will share their views on the development of this market and what is expected to unfold over the next 12 months in regard to the next generation of products and fund-based strategies.

Description: The academy generator is widely applied in actuarial practice. Initially confined to regulatory reserving, companies are increasingly using the AAA/SOA generator over an ever widening range of applications testing the limits of the academy generator's intended function. The session will give a brief overview of the academy generator and the asset classes it can be used to model. It will also analyze the statistical properties of the academy scenarios and discuss the scenarios relative to standard validation criterion. Some of the challenges that actuaries face in using this framework will be reviewed and options for addressing these challenges will be offered.

Description: Today's actuarial teams dedicate substantial time and resources to maintain strong frameworks for risk management and control. Current practices typically endure this as a sunken cost, yielding minimal value beyond SOX/MAR/COSO compliance and basic error prevention. With a small up-front time investment, and a willingness to approach these activities with an open mind, the functionality of existing compliance activities can be completely transformed. Compliance activities, once a sunken time cost, can be elevated to deliver more insightful analysis to stakeholders.

Description: Baseline and what-if/stressed projections of cash flows, financial statements and capital requirements are critical inputs to a range of business purposes, including forecasts, risk management, liquidity management, strategic decision making, etc. Forward looking projections have historically been inefficient and performed in silos making it difficult to scale the process as CFOs and CROs ask for more. In this session we discuss challenges of the forecast process and opportunities to meet desired future capabilities. We will also discuss “what-if” analysis and ways to support production of forward looking projections for “what-if” analysis in an efficient way.

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy

Description: Insurance is a technically demanding, risk-based, capital intensive business. It is therefore not surprising that the industry is fertile ground for the development of technical models used to measure and price risk and manage capital. This session presents the forces which have significantly influenced the evolution of risk and capital management techniques and organization in the insurance industry, including regulatory changes, financial market instability, enlightened self-interest and ultimately a focus on shareholder value creation. Combining over 20 years in the industry in risk and finance roles with a rigorous academic approach, the presenter will provide insights into the most important business questions which insurers face today and the technical tools and frameworks used to answer them.