Individual claim reserving: A complementary approach aggregated methods

More individual claim reserving models have been developed in recent decades, and the availability of increasingly detailed claims data allows for a fresh look at reserving. Yet is using individual losses more efficient than aggregate methods? We conducted a study that highlights the benefits of using line-by-line claims data and compares individual reserving methods with conventional aggregate methods. In this white paper, we discuss: 

• Different types of individual claim reserving models
• The analysis of a line-by-line database for providing guidance to claims handlers
• Modelling framework and calibration
• Results and comparison with aggregated standard methods
• Flexibility of individual claim reserving models