sdAutoCor: Calculate an approximate standard deviation of returns that...

Description Usage Arguments Details Value

View source: R/sdAutoCor.R

Description

This function is an implementation of the calculations found in Kinlaw, Kritzman, and Turkington have who published two companion papers called <e2><80><9c>The Divergence of High- and Low-Frequency Esitmation: Causes and Consequences<e2><80><9d> and "The Divergence of High- and Low-Frequency Esitmation: Implications for Performance Measurement."

Usage

1
sdAutoCor(x, L = 12)

Arguments

x

an xts object containing a time series of asset returns.

L

the maximum number of lags to consider. Default is 12.

Details

The function returns a set of calculations: 1. The no-auto-correlation adjusted standard deviation sigma*sqrt(t) 2. The auto-correlation adjusted measure : sigma*(sqrt(t) + cors) 3. The difference between the two measures. 4. The ratio of the two measures.

Value

a list of four calculations described above.


gtog/dMisc documentation built on May 17, 2019, 8:57 a.m.