Method: The paper provides examples of the historical progression of accident year loss ratios booked by the industry in aggregate and for a sample of companies. A model is presented to demonstrate the extent to which a combination of cyclical accident year loss ratios and alternate views from stakeholders on their ‘best estimates’ to be adopted at a point in time can create differences in the estimates of unpaid claims liabilities.
Results: The outcomes are a framework for expressing views on responsiveness to the emerging claims data in relation to initial expectations, as well as illustrations that provide actuaries with insights on the implications of differing views on loss picks. The paper identifies matters for actuaries to discuss among themselves and with their stakeholders. Discussions around these concepts and implications in advance of the periodic reserves meetings may help the meetings go more smoothly.
Conclusions: Apparently small differences in styles for making loss picks from among projections that span from initial expectations to extrapolations from actual data can yield noticeable differences in reserve estimates. Differences in selection approach between stakeholders do matter and create the need for discussion, transparency and documentation.
Keywords: Reserving Methods, Management Best Estimate, Reserve Variability, Credibility