summary.ffm | R Documentation |
summary
method for object of class ffm
.
Returned object is of class summary.ffm
.
## S3 method for class 'ffm'
summary(object, ...)
## S3 method for class 'summary.ffm'
print(x, digits = 3, labels = TRUE, ...)
object |
an object of class |
... |
futher arguments passed to or from other methods. |
x |
an object of class |
digits |
number of significants digits to use when printing. Default is 3. |
labels |
option to print labels and legend in the summary. Default is
|
The default summary
method for a fitted lm
object
computes the standard errors and t-statistics under the assumption of
homoskedasticty.
Note: This gives a summary of the fited factor returns at each time period.
If T
is large, you might prefer the more succint summary produced by
print.ffm
.
Returns an object of class summary.ffm
.
The print method for class summary.ffm
outputs the call,
coefficients (with standard errors and t-statistics), r-squared and
residual volatilty (under the homoskedasticity assumption) for all assets.
Object of class summary.ffm
is a list of length N + 2 containing:
call |
the function call to |
sum.list |
list of summaries of the T fit objects (of class |
Sangeetha Srinivasan & Yi-An Chen.
fitFfm
, summary.lm
data("factorDataSetDjia5Yrs")
# fit a fundamental factor model
fit <- fitFfm(data = factorDataSetDjia5Yrs,
asset.var = "TICKER",
ret.var = "RETURN",
date.var = "DATE",
exposure.vars = c("P2B", "MKTCAP"))
names(fit)
# summary of factor returns estimated in each time period
summary(fit)
# summary of lm fit for a single period
summary(fit$factor.fit[[1]])
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