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Abstract
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.
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