rRVar: An estimator of realized variance.

In highfrequency: Tools for Highfrequency Data Analysis

An estimator of realized variance.

Description

Calculates the daily Realized Variance. Let r_{t,i} be an intraday return vector with i=1,...,M number of intraday returns.

Then, the realized variance is given by

\mbox{RVar}_{t}=\sum_{i=1}^{M}r_{t,i}^{2}

Usage

rRVar(rData, alignBy = NULL, alignPeriod = NULL, makeReturns = FALSE, ...)

Arguments

rData	an xts or data.table object containing returns or prices, possibly for multiple assets over multiple days.
alignBy	character, indicating the time scale in which alignPeriod is expressed. Possible values are: "ticks", "secs", "seconds", "mins", "minutes", "hours"
alignPeriod	positive numeric, indicating the number of periods to aggregate over. For example, to aggregate based on a 5-minute frequency, set alignPeriod = 5 and alignBy = "minutes".
makeReturns	boolean, should be TRUE when rData contains prices instead of returns. FALSE by default.
...	used internally, do not change.

Value

• In case the input is an xts object with data from one day, a numeric of the same length as the number of assets.

• If the input data spans multiple days and is in xts format, an xts will be returned.

• If the input data is a data.table object, the function returns a data.table with the same column names as the input data, containing the date and the realized measures.

See Also

IVar for a list of implemented estimators of the integrated variance.

Examples

rv <- rRVar(sampleOneMinuteData, makeReturns = TRUE)
plot(rv[, DT], rv[, MARKET], xlab = "Date", ylab = "Realized Variance", type = "l")

highfrequency documentation built on Oct. 4, 2023, 5:08 p.m.