Cognity encompasses the full multi-manager analytic process. Beginning with cutting edge backfill techniques that make full use of all data through flexible, insightful and on demand reporting, the primary modules include:

Manager Screening and Ranking  

Improve manager selection with downside adjusted performance ranking measures. Clearly differentiate between downside risk and upside potential.

Correlations & Distributions Analysis

Expose fat-tails and correlation asymmetry. Establish true correlation through robust outlier detection and minimization.

Factor Modelling

Reliably identify systematic risk factor drivers with automated factor selection over a database of branded market indices and custom factors. Detect unusual movements and style drift through rolling window analysis.

Risk Measurement and Budgeting

Measure and report downside risk using post-modern, fat-tailed methods alongside traditional techniques. Actively manage tail risk and gain insight into the true tail risk diversifiers and contributors. Identify risk concentration hotspots by decomposing risk into customized views. Clearly see factor contribution to risk. Gain allocation consensus through downside risk budgeting. 

Stress Testing

Analyze historical crisis stress tests and understand the effect on current risk exposures. Anticipate the impact of complex markets stress scenarios. Shock manager returns, factor returns, correlations and distributions. Use pre-defined scenarios or create your own. 

Optimization

Optimize performance by minimizing tail risk and maximizing tail return. Specify investment universes and analyst return estimates along with complex investment policy constraints.

Backtesting and Portfolio Analysis

Backtest and compare different objective functions, allocations and proforma portfolios to identify best performing managers and strategies.