Reserving Methodology & Benchmarking

Purpose

Reserving Methodology & Benchmarking is designed to compare different reserving methods, including Chain Ladder, Bornhuetter-Ferguson, Benktander, and stochastic approaches, and identify the most robust option based on the line of business and data maturity.

Primary users

The primary user is not specified in the provided information. The agent is associated with the AQS team and is relevant to Insurance P&C and banking contexts.

Where it fits (process/stage/trigger)

This agent fits into reserving methodology assessment and benchmarking activities, particularly when a team needs to evaluate multiple reserving approaches for a given line of business and determine which method is most robust given the maturity of available data.

Key capabilities / workflow

The agent analyzes the line of business and data maturity context, compares several reserving methods such as Chain Ladder, Bornhuetter-Ferguson, Benktander, and stochastic methods, evaluates robustness, and supports selection of the most suitable reserving approach.

Inputs

Typical inputs are not fully specified in the provided information. The available context indicates that line of business and data maturity are used as decision factors, while detailed datasets, source files, and required input formats are not specified.

Outputs / Deliverables

Outputs are not fully specified in the provided information. Based on the stated use case, the key deliverable is the identification of the most robust reserving method among the compared approaches, with any additional output format not specified.

Value

The value of Reserving Methodology & Benchmarking is to support more consistent and evidence-based reserving methodology selection by comparing established actuarial reserving approaches and aligning the recommendation with business line and data maturity considerations.