TY - JOUR T1 - Toward Regime-Aware Risk Forecasts JF - The Journal of Portfolio Management SP - 49 LP - 70 DO - 10.3905/jpm.2022.48.5.049 VL - 48 IS - 5 AU - Kevin Khang Y1 - 2022/03/31 UR - https://pm-research.com/content/48/5/49.abstract N2 - Estimation lookback window is a key calibration parameter in industry-standard risk models. It determines how readily the model incorporates new data to form volatility forecasts. Most volatility environments can be characterized as either slow-moving or fast-moving, and no single calibration generates consistently reliable forecasts. A model’s strength in one environment is often the reason it is ill-suited for other environments. The potential impact of using a suboptimal model can be measured in real time with a cross-sectional dispersion of forecasts from different calibrations. This information can be used to inform timely, and disciplined, transitions between slow-moving and fast-moving models—the makings of regime-aware volatility forecasting. ER -