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  1. Bayesian Trend Selection
    Motivation. Selecting loss ratio trends is an integral part of NCCI aggregate ratemaking. The trend selection draws on an exponential trend (ET) regression model that is applied, alternatively, to the latest 5, 8, and 15 observations (dubbed …
  2. Loss Cost Components and Industrial Structure
    Motivation. Concomitant with the 2007-2009 recession, the US economy experienced profound changes in industrial structure that led to widely varying growth rates of employment by industry. Whereas some of these changes may be temporary, others are …
  3. PEBELS: Property Exposure Based Excess Loss Smoothing
    The invention of PEBELS, or policy exposure based excess loss smoothing, was motivated by the need to develop estimates of high layer expected loss cost for extremely small, non-credible segments of a primary property book of business. The existing …
  4. Extending the Asset Share Model: Recognizing the Value of Options in P&C Insurance Rates
    In this paper we will present a refinement of the well-known asset share model for ratemaking. The new method for calculating premiums and premium relativities accounts for risk classification transition probabilities. The relationship between risk …
  5. Empirical Method-Based Aggregate Loss Distributions
    This paper presents a methodology for constructing a deterministic approximation to the distribution of the outputs produced by the loss development method (also known as the chain-ladder method). The approximation distribution produced by this …

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