August 15, Al Schmitz, MAAA, FSA, Chairperson LTC PBR Work Group

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American Academy of Actuaries Long-Term Care (LTC) Principle Based Reserves (PBR) Work Group Update to Long-Term Care Actuarial Working Group August 15, 2014 Al Schmitz, MAAA, FSA, Chairperson LTC PBR Work Group Copyright 2014 by the American Academy of Actuaries. All Rights Reserved.

Agenda Work group objective Update Report outline Next steps/timeline Questions Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 2

Objectives of Work Group Based on the initial request from the NAIC, the objective of the work group is to develop a prototype stochastic model to be used to help set the direction of PBR for LTC The work group agreed to produce a report that would include considerations of stochastic modeling and suggested next steps The model is intended to be illustrative and not inclusive of all policy features that may be offered by an insurer or inclusive of detailed modeling considerations Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 3

History and Work to Date I. Stochastic modeling key variables: morbidity, lapse, mortality, interest II. III. IV. Modeling approach morbidity, mortality, and lapse in Excel prototype using hazard rate approach Modeling considerations premium rate changes, interest rate impact, morbidity / mortality changes, margins Assumptions and data collection sample assumptions developed by the work group, two inforce files provided by two companies V. Stochastic and deterministic results Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 4

Update on Recent Activity Sensitivity tests to base case Run the following sensitivities on the block of 6,000 policies and calculate CTEs for each: ±10% load to morbidity incidence and assessment - Complete ±10% load to morbidity termination rates ±10% load to lapse rates ±10% load to active mortality rates ±10% load to disabled mortality rates Sensitivity tests to size of block and number of scenarios Run the 23,000 block of policies and test impact for running 1,000, 500, 250, 100, or 50 scenarios. Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 5

Initial Results Comparison to Deterministic Inforce Block of LTC Insurance 600,000 400,000 200,000 - Jul-11 Nov-13 Mar-16 Jul-18 Nov-20 Mar-23 Jul-25 Nov-27 Mar-30 Jul-32 Nov-34 Mar-37 Jul-39 Nov-41 Mar-44 Jul-46 Nov-48 Mar-51 Jul-53 Nov-55 Mar-58 Jul-60 Nov-62 Mar-65 Jul-67 Nov-69 Mar-72 Jul-74 Nov-76 Mar-79 Jul-81 Nov-83 Mar-86 Jul-88 Nov-90-200,000-400,000-600,000-800,000-1,000,000-1,200,000-1,400,000 Sample block of 6,000 policies-graph developed by members of the work group. For illustrative purposes only. Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 6 Mean Max Min Determinisic

Initial Results (cont.) Distribution characteristics of present value of cash flow at 4 percent Mean 87 m Maximum 106 m Minimum 72 m Standard Deviation 5.261 m Skewness 0.138209 Kurtosis 0.168010 Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 7

Initial Results (cont.) Sample block of 6,000 LTC insurance policies, CTE calculations CTE 0 (GPV) 87m 100.0% CTE 10 88m 101.2% CTE 20 89m 102.1% CTE 30 90m 102.9% CTE 40 90m 103.8% CTE 50 91m 104.8% CTE 60 92m 105.8% CTE 70 93m 107.1% CTE 80 95m 108.6% CTE 90 97m 110.8% CTE 95 98m 112.8% CTE 99 103m 117.8% Note: CTE 90, for example, is equal to the average of the worst 10 percent of scenarios, each scenario cash flows discounted at 4 percent Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 8

Initial Results (cont.) Distribution characteristics of present value of cash flow at 4 percent Academy PBR LTC Model Runs Active Mortality Base Incidence Plus 10% Incidence Minus 10% Minus 10% Mean 87,130,339 99,228,164 74,036,463 94,746,011 Max 106,262,080 117,344,432 92,581,823 110,851,459 Min 72,487,960 80,432,369 59,192,117 80,400,667 Skewness 0.138 0.058 0.210 0.089 Kurtosis 0.168-0.146 0.278-0.050 Std Dev 5,261,055 5,638,591 4,949,694 5,292,701 Std Dev / Mean 6.0% 5.7% 6.7% 5.6% CTE 0 100.0% 100.0% 100.0% 100.0% CTE 10 101.2% 101.1% 101.3% 101.1% CTE 20 102.1% 102.0% 102.3% 101.9% CTE 30 102.9% 102.8% 103.2% 102.7% CTE 40 103.8% 103.7% 104.2% 103.6% CTE 50 104.8% 104.5% 105.3% 104.4% CTE 60 105.8% 105.5% 106.4% 105.4% CTE 70 107.1% 106.6% 107.8% 106.5% CTE 80 108.6% 108.1% 109.5% 108.0% CTE 90 110.8% 110.2% 112.3% 110.1% CTE 95 112.8% 111.7% 115.0% 111.8% CTE 99 117.8% 114.7% 119.9% 115.1% Developed by members of the work group. For illustrative purposes only. Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 9

Report Outline Introduction Objective of Academy workgroup Brief history of workgroup Description of model Strengths/weaknesses Documentation including flow chart Description of analysis performed Summarize project plan Results Discussion Result considerations Modeling considerations PBR implications Potential next steps Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 10

Target Timeline Complete sensitivity tests and summarize results End of September Run larger block of policies (20,000) through model and analyze results. End of October Summarize results in written report Draft end of November Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 11

Questions Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 12

Staff Contact Information Tim Mahony Health Policy Analyst (State) American Academy of Actuaries 1850 M St., NW (Suite 300) Washington, DC 20036 202-223-8196 mahony@actuary.org Copyright 2014 by the American Academy of Actuaries. All Rights Reserved. 13