Description: Investment Fallacies: Future Equity Returns

Description: This session from the 1995 SOA Boston Meeting covers topics and methods for better coordination between actuaries and investment professionals. The session will concentrate on the coordination of pricing, crediting, and investment strategies. From the Record of the Society of Actuaries, Vol. 21, No. 4a.

Description: Read the February 2017 issue of Risks and Rewards published by the Investment Section.

Description: This session from the 1976 SOA Spring Meeting covers the actuary's role and responsibilities with respect to life insurance company invested assets including the development of investment policy and the implications for pricing, reserving, guaranteed cash values and policyholder.

Description: The purpose of this paper is to survey some new results concerning the term structure of interest rates and discuss actuarial applications. The term structure of interest rates exhibits the relationship among the yields on default free debt instruments of different maturities. Although there is a considerable volume of literature dealing with the determinants of the term structure the analysis has until recently been presented for the most part in a deterministic i.e. non- stochastic framework. This constrasts with the treatment of capital assets where equilibrium prices have been obtained under the assumption that returns on these assets are random variables.

Description: Risk management theory prescribes a few legitimate reasons for management to hedge corporate revenues and reduce income volatility. In this paper we will use the oil tanker industry to illustrate some of these strategic considerations and how management can account for them in their decisions regarding whether and how much to hedge. Further work is needed to incorporate these considerations into a broader theoretical framework. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: Investment Fallacies: Simulation of Long-Term Stock Returns: Fat-Tails and Mean Reversion

Description: Adaptive Risk Management harnesses social intelligence to identify emerging risks. We have entered an age of disruption where exponential technologies are transforming every industry. The ability to pivot in a rapidly evolving ecosystem is essential. Centralized “predict and control” paradigms will increasingly fail as complex interactions drive phase transitions. Successful organizations will harness social intelligence to “sense and respond” to giant waves of change. Maps amplify intelligence to help us navigate challenging terrain. Maps play a central role in all command centres, enabling rapid risk identification with a shared visual language. Interactive financial network maps allow analysts to explore and diagnose systemic fragilities, and mitigate critical vulnerabilities. Dynamic financial maps can also build visual intuition to detect escalating risk patterns. After observing early warning signals, analysts can apply network analytics to estimate likely second order effects. This allows organizations to proactively manage emerging risk before tipping points are crossed.

Description: Summarizes a research paper considering insurer performance during the financial crisis, with actions and circumstances that improved results highlighted.