Forecast realized volatility using the HAR model: RV_t+1 = beta0 + beta_d*RV_t + beta_w*RV_w + beta_m*RV_m + epsilon. Daily, weekly, and monthly components capture multi-scale persistence.
Forecast realized volatility using the HAR model: RV_t+1 = beta0 + beta_d*RV_t + beta_w*RV_w + beta_m*RV_m + epsilon. Daily, weekly, and monthly components capture multi-scale persistence
Each component has a specific meaning:
Note: Interpret the har volatility model result against the thresholds and context described above.
Enter the HAR model: RV_t+1 = beta0 + beta_d*RV_t + beta_w*RV_w + beta_m*RV_m + epsilon for the scenario you are assessing. Forecast realized volatility using the HAR model: RV_t+1 = beta0 + beta_d*RV_t + beta_w*RV_w + beta_m*RV_m + epsilon. Daily, weekly, and monthly components capture multi-scale persistence. Use the har volatility model result to inform your calculation.