Description: The goal of this paper is to examine similarities between value investing and enterprise risk management (ERM) methods.

Description: The theme of this paper relates to solving portfolio selection problems using linear programming. The authors extend the linear optimization framework for Conditional Value-at-Risk-based portfolio selection problems to optimization over a more general class of risk measure known as the class of Coherent Distortion Risk Measure. From Actuarial Research Clearing House, 2012 Vol. 1.

Description: The goal of this paper is to examine similarities between value investing and enterprise risk management (ERM) methods.

Description: The Society of Actuaries’ Pension Section Research Committee commissioned this study to help actuaries develop forward thinking long-term estimates of future equity risk premiums. Equity risk premium is the amount by which the total return of a stock market index, such as the S&P 500, exceeds that of government bonds. Equity risk premiums, calculated from historical data, have been used to project long term values of equity portfolios in retirement plans. The validity of using historical data to project future equity returns will be examined along with other forward looking methods.

Description: This paper is concerned with the evaluation of the common portfolio management strategy which consists of delegating to different managers portions of the assets to be invested. This practice is shown to be close to optimal under the realistic assumption that the private signals of the financial experts are positively correlated. This is accomplished by comparing this multi-manager approach to an optimal investment policy derived under full information, within the context of a standard normal returns/exponential utility market timing model.

Description: A research report providing a primer on the mechanics and uses of the Hidden Markov Model for actuarial and financial applications.

Description: A research report providing a primer on the mechanics and uses of the Hidden Markov Model for actuarial and financial applications.