Description: This paper presents Bayesian models for analysis of claim lag data. The analysis of claim runoff patterns investigate the extraction of information on trend and seasonal patterns in incurred claims. This is investigated on the basis of individual group data, and also relative to a larger aggregation of pooled experience. The models are implemented based on Markov chain Monte Carlo methods. The models are applied to examples using simulated claim lag data. From Actuarial Research Clearing House, 2003, Vol. 1.

Description: For insurance companies, modeling the future values of assets and their interactions is useful for setting up asset strategies and managing reserves for liabilities. This paper evaluates the ability of Wilkie’s stochastic investment models to predict Toronto Stock Exchange [TSX] price index yield. In the Wilkie Model, correlated econometric indices are modeled through a cascade structure.