he NumXL Forecast wizard generates a table with forecast value for the mean and Upper/Lower limits for the confidence interval. Th…
In the plot, we have the mean forecast (line), and the 95% confidence interval represented by the shaded area.
In this plot, we show the local volatility (aka forecast standard error) over the forecast horizon. Note that volatility revert to…
In this plot, the local (aka forecast error) and term structure volatility forecast are plotted together. Note that both curve con…
In this GARCH(1,1) forecast table (generated by NumXL Forecast wizard), the volatility term structure forecast are shown in the re…
The NumXL Forecast wizard/dialog pops up. The model reference cell is already selected and grayed out in the dialog.
After you select the top cell in GARCH(1,1) Model table, locate the forecast icon in NumXL toolbar (aka Tab), and click it to Invo…
After we calibrate the GARCH(1,1) model, and verified its assumptions by examining the residuals, we are ready to use it for forec…
A QQ Plot for the standardized residuals of the calibrated GARCH(1,1) model.
A histogram plot for the standardized residuals of the calibrated GARCH(1,1) model with an overlay Gaussian distribution curve.
In the residuals diagnosis table, we perform a statistical test for the presence of inter dependency(aka serial correlation) in th…
In the residuals diagnosis table, we perform a statistical test for the ARCH Effect (i.e. presence of inter dependency(aka serial…
In the residuals diagnosis table, we perform a statistical test for the normal distribution assumption of the of the standardized…
In the residuals diagnosis table, we perform a statistical test for the significance of the standardized residuals excess-kurto…
In the residuals diagnosis table, we perform a statistical test for the significance of the standardized residuals distribution…