Peer Analytics provides investment risk-skill analytics and consulting to insurance companies, endowments, and pension fund clients.
Equity Risk Models Built for Oversight
Common performance analytics based on Brinson attributions and returns-based-style analysis – including FactSet, Novus, Caissa, and Morningstar — fail to predict future performance.
Analytics that are not predictive are not valid and decisions based on invalid data are dangerous.
We offer an alternative: robust risk and skill estimates, from statistical factor models, that are strong predictors of future performance.
Dynamic Financial Analysis/Asset Liability Modeling
Stochastic asset-liability scenario modeling integrating the effects of underwriting risk, leverage, and asset risk on surplus, net income and capital requirements. More
DFA/ALM Peer Risk Analysis
A time and cost-efficient annual DFA review that assesses both client company and peer company surplus and net income risk postures. Designed to enhance annual risk communication with board members charged with investment oversight. Sample
DFA / ALM Models
Cloud-based, user-friendly, transparent, flexible yet robust, stochastic asset-liability models designed to be easily vetted.
PeerTrac: Performance Evaluation | Benchmarking
Performance evaluation incorporating insurance company peer universes, equity and fixed-income style universes, and equity portfolio risk analysis. Sample