Backtesting Risk Models - August 2018
categories: Portfolio Management Analytics, Americas, EMEAI, Risk Management Analytics, Risk Management, Asia Pacific, Asset Owners, Hedge Funds, Fixed Income, VERBRAKEN Thomas, Asset Managers (Quant or Fundamental), VAJDA Balázs, general
In this semi-annual update of the MSCI Model Backtesting Review, we evaluate the performance of three risk methodologies available in RiskMetrics RiskManager: Standard Normal Monte Carlo, Historical, and a new Fat-Tailed Monte Carlo methodology. The backtest was performed over the 12-month period ending June 30, 2018. Compared to previous studies, these models are tested on an extended scope of fixed income and equity portfolios, representing different segments of the U.S. and global equity and bond markets.