I am trying to forecast a time series object in R with GARCH(1,1) model. My goal is to hav 24 instances ahead forecast with the GARCH model. Although I am using a time series object while forecasting,I get the following error:
Error in is.constant(y) :
(list) object cannot be coerced to type 'double'
Those are the commands that I am using:
library(forecast)
library(tseries)
trainer1 <- ts(trainer, frequency=24)
m1 <- garch(trainer1, order = c(1,1))
forecasts1 <- forecast(m1, h=24)
And the sample data that I am using is as follows:
124.30
98.99
64.00
64.00
123.99
123.99
34.97
123.99
139.91
140.00
164.30
178.99
140.00
169.95
161.18
139.94
161.31
124.00
115.01
124.00
Many thanks for your help :)
The garch
is not a function of forecast
package. So, you cannot apply forecast
function on m1
model. The garch
function is available in tseries
package. So, to use garch
for prediction you have to use
library(forecast)
library(tseries)
trainer1 <- ts(df, frequency=24)
m1 <- garch(trainer1, order = c(1,1))
forecasts1 <- predict(m1, trainer1)
If you want to forecast you can use fGarch
package like
library(fGarch)
fit <- garchFit(~ arma(0,1) + garch(1,1), data = trainer1, trace = FALSE)
predict(fit,n.ahead=24,plot=TRUE)
Data
df = structure(list(trainer = c(124.3, 98.99, 64, 64, 123.99, 123.99,
34.97, 123.99, 139.91, 140, 164.3, 178.99, 140, 169.95, 161.18,
139.94, 161.31, 124, 115.01, 124)), class = "data.frame", row.names = c(NA,
-20L))