Background On an annual basis, we produce an
AVR for Washington State retirement systems. We also prepare a Projections Model for the linked AVR. Each serve their own purpose as described below. The AVR relies on participant and financial data from a single point-in-time and set of best estimate assumptions. This is known as “closed group” analysis meaning the model assumes no new members join open plans after the measurement date. These valuations are the basis for monitoring funding progress and determining on-going contribution rates consistent with the state's funding policy. A single point-in-time measurement is helpful in tracking changes and trends across multiple AVRs. However, the AVR is limited by only providing results for a single measurement date. For estimates beyond the measurement date, we rely on our Projections Model. Our Projections Model is like the AVR but includes additional assumptions and methodology for experience beyond the measurement date. For instance, we make assumptions for demographics of new entrants and how many new entrants annually join the retirement plans. This allows the Projections Model to estimate funding progress and contribution rates at future measurement dates. In other words, the model estimates future annual AVRs. We generally rely on two modes for the model: “deterministic” and “stochastic”. The deterministic setting assumes all future experience is consistent with our best estimate assumptions. This tells us the state of the retirement systems on an “expected” basis. The stochastic model helps us understand the impact to the retirement systems if future experience does not match our assumptions. Our stochastic modeling includes 2,000 simulations of investment returns, plan funding, and inflation. We summarize the results of our stochastic modeling in our annual
Risk Assessment. Disclosures The 2023 Valuation Projections Model includes the
contribution rates that were adopted by the Pension Funding Council (PFC) for the 2025-27 Biennium, as well as the
contribution rates that were adopted by the Law Enforcement Officers’ and Fire Fighters’ Plan 2 Retirement Board (LEOFF 2 Board) for the 2025-27 and 2027-29 Biennia. Unless noted otherwise, we rely on data, assets, assumptions, and methods from the
2023 AVR for our Projections Model. However, additional assumptions and methodology are required for the Projections Model. These include new entrant [or members hired after the measurement date] and stochastic analysis assumptions. These assumptions and methods are generally updated annually and disclosed below. We disclose the remaining assumptions and methods in the
Projection and Risk Assumptions Study (PRAS) webpage since they are not updated as frequently. Please see the link to the PRAS webpage for additional supporting information. We prepared the Projections Model to support our work products as well as proactively address stakeholder questions related to expectations for the future. We believe the set of data, assets, assumptions, and methods used for the work products that rely on the Projections Model are reasonable, but use of another set may also be reasonable and might produce different results. We expect this model will be updated during fall of each year.
Kyle Stineman(ASA, MAAA) meets the Qualification Standards of the American Academy of Actuaries; he served as the reviewing and responsible actuary for the 2023 Valuation Projections Model. |