Mean.SE: Standard Error Estimate for Mean of Returns

In RPESE: Estimates of Standard Errors for Risk and Performance Measures

Standard Error Estimate for Mean of Returns

Description

Mean.SE computes the standard error of the mean of the returns.

Usage

Mean.SE(
  data,
  se.method = c("IFiid", "IFcor", "IFcorAdapt", "IFcorPW", "BOOTiid", "BOOTcor")[c(1, 4)],
  cleanOutliers = FALSE,
  fitting.method = c("Exponential", "Gamma")[1],
  d.GLM.EN = 5,
  freq.include = c("All", "Decimate", "Truncate")[1],
  freq.par = 0.5,
  corOut = c("none", "retCor", "retIFCor", "retIFCorPW")[1],
  return.coef = FALSE,
  ...
)

Arguments

data	Data of returns for one or multiple assets or portfolios.
se.method	A character string indicating which method should be used to compute the standard error of the estimated standard deviation. One or a combination of: "IFiid" (default), "IFcor", "IFcorPW", "IFcorAdapt" (default), "BOOTiid" or "BOOTcor".
cleanOutliers	Boolean variable to indicate whether the pre-whitenning of the influence functions TS should be done through a robust filter. Default if FALSE.
fitting.method	Distribution used in the standard errors computation. Should be one of "Exponential" (default) or "Gamma".
d.GLM.EN	Order of the polynomial for the Exponential or Gamma fitting. Default polynomial order of 5.
freq.include	Frequency domain inclusion criteria. Must be one of "All" (default), "Decimate" or "Truncate."
freq.par	Percentage of the frequency used if "freq.include" is "Decimate" or "Truncate." Default is 0.5.
corOut	Return correlation of the returns or the influence function transformed returns. Must be one of "retCor", "retIFCor" or "none" (default).
return.coef	Boolean variable to indicate whether the coefficients of the penalized GLM fit are returned. Default if FALSE.
...	Additional parameters.

Value

A vector or a list depending on se.method

Author(s)

Anthony-Alexander Christidis, [e-mail]

Examples

# Loading data
data(edhec, package = "PerformanceAnalytics")
# Changing the data colnames
names(edhec) = c("CA", "CTA", "DIS", "EM", "EMN",
                 "ED", "FIA", "GM", "LS", "MA",
                 "RV", "SS", "FOF")
# Computing the standard errors for
# the two influence functions based approaches
Mean.SE(edhec, se.method = c("IFiid","IFcorAdapt"),
        cleanOutliers = FALSE,
        fitting.method = c("Exponential", "Gamma")[1])

RPESE documentation built on Sept. 8, 2022, 9:07 a.m.