Description: This paper discusses some of the models used to quantify risk, note some areas where improvements in standard methods are needed, and in some cases suggest alternative approaches for risks in Property and Casualty Insurance and Life Insurance.

Description: Provides a how-to session on modeling assets and liabilities in the Valuation Actuary's work to comply with the Standard Valuation Law. Comparisons of the methods discussed are occasionally made with the requirements of New York Regulation 126. Session 12 of the 1991 Valuation Actuary Symposium.

Description: This session at the SOA 2001 Toronto Spring Meeting offers an overview of stochastic pricing including stochastic variables, equity market models, interest rate models and policyholder behavior. An example is given using a variable annuity product.

Description: This session from the 2003 SOA Orlando Meeting discusses the new risk-based capital RBC requirements for variable annuities with guranteed benefits such as guaranteed minimum death benefits - GMDBs and guaranteed minimum income benefits - GMIBs. From the Society of Actuaries Record, Volume 29, No. 3.

Description: This review summarizes the key features of a stochastic model that works with non-life insurance claim incurral, accrual and reporting. More specifically it provides an overview of the claim model components, classical parameter estimators, test statistics, and forecast point estimates and error variances. From Actuarial Research Clearing House 1991, VOL. 1.

Description: This section contains multiple book reviews and notices concerning the actuarial profession. Reviews: 'Medical Risks: Patterns of Mortality and Survival' by Singer and Levinson, 'The Theory and Practice of Pension Funding' by Trowbridge and Farr, 'Two Stochastic Processes' by Beekman, 'Disability Income Insurance - Cost Differentials between Men and Women' by New York Insurance Department, 'Social Security and Private Pension Plans: Competitive or Complementary' by McGill, 'A New Look at Accounting for Pension Costs' by Hall and Landsittel, '1977 Annual Reports of the Board of Trustees of the Federal OASDI Trust Funds...,' 'Investigation of Sickness Statistics - Individual Policies, 1971 and 1973' by the Institute of Actuaries and the Faculty of Actuaries, 'The Graduation of Pensioners and of Annuitants Mortality Experience 1967-70' by the Institute of Actuaries and the Faculty of Actuaries, 'Pensions and Survival - the Coming Crisis of Money and Retirement' by Calvert, 'Group Benefits in a Changing Society' by Spencer, 'Experience of Disabled Work Benefits under OASDI 1965-74' by Bayo and Wilkin. Digests also included.

Description: Producing a crystal-clear balance roll-forward on time, obtaining a fresh model output the first time or providing model results for your business partners with a tight turnaround all depend on one thing: how fast the model engine runs. Authors explored various reasons behind significant computational power consumption, and discussed different ways to speed the computational process such as in-force population compression, model use case consolidation, code simplification and streamlining, and infrastructure automation, etc.

Description: This paper studies the tail probability of discounted aggregate claims in a continuous-time renewal model. For the case that the common claim-size distribution is subexponential, the authors obtain an asymptotic formula, which holds uniformly for all time horizons within a finite interval. Then, with some additional mild assumptions on the distributions of the claim sizes and inter-arrival times, the authors further prove that this formula holds uniformly for all time horizons.

Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. This paper suggests the use of a policy event-based loss estimation method using expert input and simulation for forecasting long duration expenditures: that is to say, there is an efficient time, which is random and observable to replace a physical asset.

Description: The purpose of this paper is to present to the actuarial profession a stochastic investment model which can be used for simulations extending for many years ahead. Discussed in the paper are the general reasons for choosing the style of model, the general model and how to use it, the assumptions and the sensitivity of model to the assumptions made and the possible applications in the investment and actuarial fields.