Description: To complement the limitations posed by the static nature of current survey papers in cyber risk literature and to facilitate cyber risk research, this project features a Natural Language Processing (NLP)-powered repository and search tool “CyLit” built by the authors.

Description: In an effort to build a bridge between epidemiological and actuarial modeling, this paper analyzes possible financial arrangements made against expenses resulted from medical treatments given to insured patients. Based on classical compartment models, the first part of this paper designs insurance policies for susceptible participants facing the risk of infection and formulates the financial obligations of both parties using actuarial methodology. For practical purposes, the second part employs a variety of numerical methods for calculating premiums and reserves. The last part illustrates the methods by designing insurance products for the Great Plague in Eyam and the SARS Epidemic in Hong Kong.

Description: Since the world in which actuaries work is both expanding (through 'data science' opportunities) and contracting (since 'data scientists' are doing work formerly done by actuaries), the role of education actuaries is at a tipping point. Members of the Society who are in higher education and representatives from the business community will discuss ways in which the two worlds of business and education have worked together in the past, what can be done by each group to assist the other, and what the future may hold.

Description: In physics and engineering education, Fermi problems require solutions based on good approximate calculations with little or no actual data, involving making justified guesses and deducing bounds without using sophisticated tools. The idea of Fermi problems are of particular relevance to today's actuaries, as pricing, reserving, and financial reporting involve more and more complex stochastic components. The paper discusses some approximate solutions developed in academia in the spirit of Fermi problems.

Description: This is a nested stochastic modeling for insurance companies research report that's sponsored by the Financial Reporting and Modeling Sections and Committee on Life Insurance Research. Stochastic modeling is commonly used by financial reporting actuaries whenever financial reporting procedures such as reserving and capital requirement calculation, are performed under various economic scenarios, which are stochastically determined.

Description: This abstract describes a paper that provides a quantitative framework in which two risk management strategies are mathematically formulated.

Description: This is a nested stochastic modeling for insurance companies research report that's sponsored by the Financial Reporting and Modeling Sections and Committee on Life Insurance Research. Stochastic modeling is commonly used by financial reporting actuaries whenever financial reporting procedures such as reserving and capital requirement calculation, are performed under various economic scenarios, which are stochastically determined.

Description: This paper proposes a more generalized Gerber-Shiu G-S function which contains both the G_S expected discounted penalty function and dividends paid up to ruin, as well as many others that have not been taken into consideration in the same systematic way, such as the insurer's accumulative utility, expected total discounted claim expenses, etc. The major result provides a unifying approach for all ruin-related quantities that fall in the category of the generalized GS function. From the Actuarial Research Clearing House, 2008, Vol. 1.

Description: This is the abstract for the presentation on stochastic annuities: an exploration of Black-Scholes model from an actuarial perspective.

Description: The Society of Actuaries’ Committee on Finance Research and Joint Risk Management Section Research Committee are pleased to make available a research report developing a framework for quantifying and analyzing various forms of contractual designs.