Description: Charts for An Extreme Value Analysis of Advanced age Mortality Data. From 2005 Living to 100 and Beyond Monograph, M-LI05-1.

Description: This paper presents some preliminary results of an analysis of data from a regional municipality in Ontario to assess long term care risks. The data includes information on the optimal level of care at one or more points in time for each individual under study modelled using a Markov process.

Description: This paper presents an approach to analyzing continuing care retirement community [CCRC] data, and demonstrates the methods using data from a large CCRC. It is assumed that residents make transitions among a number of states that represent the levels of care required by residents. There is randomness associated with both the transition times and the states entered at these times. The model is conveniently characterized in terms of transition intensity functions, which represent the instantaneous rates of transition between pairs of states.

Description: This paper presents an approach to analyzing continuing care retirement community CCRC data and demonstrates the methodology by using data from a CCRC. From The Old-Age Crisis - Actuarial Opportunities - The 1996 Bowles Symposium, M-RS99-1.

Description: Many quantities arising in non-life insurance depend on claim severity distributions, which are usually modeled assuming a parametric form. Obtaining good estimates of the quantities, therefore, reduces to having good estimates of the model parameters. However, the notion of 'good estimate' depends on the problem at hand. For example, the maximum likelihood estimators [MLE] are efficient, but they generally lack robustness. Since outliers are common in insurance loss data, it is therefore important to have a method that allows one to balance between efficiency and robustness. This presentation suggests a general estimation method that we call the method of trimmed moments [MTM]. This method is appropriate for various model fitting situations including those for which a close fit in one or both tails of the distribution is not required. The MTM estimators can achieve various degrees of robustness, and they also allow the decision maker to easily see the actions of the estimators on the data, which makes them particularly appealing.

Description: This is an abstract of a 1998 presentation from the 33rd Annual Actuarial Research Conference that introduces a family of fractional age assumptions and discusses its usefulness in estimating mortality rates and calculating actuarial present values. Members of the family include the familiar uniform distribution of deaths, constant force, and Balducci assumptions.

Description: Panelists discussed: [1] investment products oriented toward asset/liability matching, [2] asset/liability management [ALM] including the C-1 and C-3 Risks, [3] current ALM practices among life insurance companies, and [4] regulatory developments in this area. From the 1987 Record of Society of Actuaries, Vol. 13, No. 4B.

Description: This paper presents a multi-state stochastic model for analyzing continuing care retirement community CCRC populations. The model considers CCRCs with a number of independent living units and a skilled nursing facility. Residents may transfer temporarily or permanently to this facility. It is assumed that units vacated by deaths, withdrawals or permanent transfers are immediately occupied by new residents. Transfers are modeled using a time-homogeneous Markov process. The paper provides some probabilistic results and some numerical results obtained using this model. Some important generalizations of the model are also briefly discussed.

Description: Panelists discuss Securities and Exchange Commission [SEC] and state regulatory developments, variable product sales results, newer product features, why variable products will be successful, and software assistance for the products. From the 1987 Record of Society of Actuaries Vol. 13, No. 4A.