Description: This 1997 presentation from the 32nd Actuarial Research Conference develops a stochastic generator for the generation of scenarios of the S&P 500 index, dividend yield, consumer price index, and U.S. Treasury yields. The authors first create a set of 'stylized facts' for these series. They estimate statistical models for these series. These in-sample statistical models are themselves not suitable for generation of scenarios for decision making, but instead are additional 'stylized facts' that assist in model development. The 'best' statistical model according to standard statistical model selection criteria can easily lead to a model that is highly unsuitable for generation of scenarios for decision making. The authors develop a stochastic generator that is suitable for decision making under uncertainty.

Description: The SOA's Committee on Finance Research is please to make available the results of this research project, jointly sponsored by the SOA and CAS, that explores economic series and provides and Excel based tool for generating future economic scenarios. This is an Excel Spreadsheet for Appendix C showing Simulated Financial Scenario Data of inflation rates and interest rates from this research project. Please see the SOA website for the full report and other related spreadsheets.

Description: Diabetes mellitus type 2 is an excellent model for assessing the setup of medical coverage in the U.S. health care system. It is a chronic disease that has genetic, behavioral and other medical causes, and causes many complications over the long term. From Financing Chronic Care Monograph, M-HB05-1.

Description: This article provides a flavor for the wealth of statistical information provided by the Bureau Of Economic Analysis. It describes the BEA program, tells how to obtain BEA outputs, and looks at some issues BEA faces.

Description: This paper analyzes the U. S. Treasury monthly interest rates from 1953 to 1992, and the daily rates from 1981 to 1992 for various forms of chaotic behavior. The primary analysis was in determining the Burst Exponent by the use of Rescaled Range Analysis. This paper also discusses other possible uses of Fractional Brownian Motion in Finance Theory, Macroeconomics, and Actuarial Science. From Actuarial Research Clearing House 1994 VOL. 1.

Description: While the major market crash subsequent to the widespread contagion of the COVID-19 virus was readily predictable, the rapid recovery and ongoing growth subsequent to it was not. Market dynamics around the recovery resist characterization by most traditional analytical approaches. In examining the circumstances around the emergence of a large retail class of investors, one sees that ingrained human tendencies, particularly optimism bias, have fueled much investor behavior responsible for the recovery. Understanding this makes it possible to predict potential future crashes and develop behavioral interventions for subsequent market recoveries.

Description: This article introduces a non-traditional type of economic scenario generator that relies on dynamic stochastic general equilibrium (DSGE) models are complex macroeconomics models and have been increasingly popular in central banks for analyzing monetary policies.

Description: The evolving specialty pharmacy environment has created difficulties for actuaries pricing and forecasting pharmacy coverage. Unpredictable specialty pharmacy trends have increased insurers' earnings volatility and affected members' health care affordability. The presenters will highlight the current specialty drug development pipeline and explore specialty pharmacy drug trend management strategies. They will also provide concepts to help manage the coming wave of gene and cell therapies.

Description: This paper describes a theory of long-term interest-rate trends that was propounded in 1899 by an actuary, Charlton T. Lewis. The paper then presents a preliminary examination of how well that theory stands up in the light of 20th-century experience. The purpose is to invite more thorough evaluation by any experts who find the theory possibly useful.

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.