Description: Life and annuity markets around the world have seen increasingly complex investment-combined products, including universal life, fixed indexed annuities, variable annuities with a wide variety of guaranteed benefits, indexed variable annuities, etc. Insurance companies are facing unprecedented exposure to financial risks in addition to traditional mortality and longevity risks. The risk assessment and modeling for such complex designs by conventional methods often focus heavily on their market competitiveness and profitability. However, there seems to be a lack of quantifiable and systematic approach to assess investment risks associated with investment combined products. The objective of the proposed work is to develop a framework for quantifying and analyzing various forms of contractual designs and showcase different techniques to assess the trade-off between competitive contractual designs and their practical implications with regard to the difficulty of risk management.

Description: an article to offer readers the background of the early career award and its benefits to the actuarial profession and academic community

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 uses a combination of several analytical methods to find closed-form solutions to the embedded options of the plain-vanilla GMWB rider.

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: 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: 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: 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.

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.