Forecast next-day conditional variance using GARCH(1,1). sigma_t^2 = omega + alpha*epsilon_{t-1}^2 + beta*sigma_{t-1}^2. Multi-period forecasts revert to long-run variance at rate (alpha+beta).
Forecast next-day conditional variance using GARCH(1,1). sigma_t^2 = omega + alpha*epsilon_{t-1}^2 + beta*sigma_{t-1}^2. Multi-period forecasts revert to long-run variance at rate (alpha+beta)
Each component has a specific meaning:
Note: Interpret the garch vol forecast result against the thresholds and context described above.
Enter the GARCH(1, 1) for the scenario you are assessing. Forecast next-day conditional variance using GARCH(1,1). sigma_t^2 = omega + alpha*epsilon_{t-1}^2 + beta*sigma_{t-1}^2. Multi-period forecasts revert to long-run variance at rate (alpha+beta). Use the garch vol forecast result to inform your calculation.