View source: R/fitFfM2_rolling.R
roll.fitFfmDT | R Documentation |
roll.fitFfmDT rolls the fundamental factor model
roll.fitFfmDT(
ffMSpecObj,
windowSize = 60,
refitEvery = 1,
refitWindow = c("Expanding", "Rolling"),
stdExposuresControl = list(Std.Type = "timeSeries", lambda = 0.9),
stdReturnControl = list(GARCH.params = list(omega = 0.09, alpha = 0.1, beta = 0.81)),
fitControl = list(fit.method = c("LS", "WLS", "Rob", "W-Rob"), resid.scaleType =
c("STDDEV", "EWMA", "ROBEWMA", "GARCH"), lambda = 0.9, GARCH.params = list(omega =
0.09, alpha = 0.1, beta = 0.81), GARCH.MLE = FALSE),
full.resid.cov = TRUE,
analysis = c("ISM", "NEW")
)
ffMSpecObj |
a specFFm object |
windowSize |
the size of the fit window |
refitEvery |
the frequency of fitting |
refitWindow |
choice of expanding or rolling |
stdExposuresControl |
for exposure standardization; (give the Std.Type and lambda) |
stdReturnControl |
choices to standardize the returns using GARCH controls |
fitControl |
list of options for fitting the ffm |
full.resid.cov |
True or False toggle |
analysis |
choice of "ISM" or "NEW" |
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