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highfrequency (version 0.7.0.1)

rTPVar: Realized tri-power variation estimator of quarticity for a highfrequency return series.

Description

Function returns the rTPVar, defined in Andersen et al. (2012).

Assume there is \(N\) equispaced returns in period \(t\). Let \(r_{t,i}\) be a return (with \(i=1, \ldots,N\)) in period \(t\).

Then, the rTPVar is given by $$ \mbox{rTPVar}_{t}=N\frac{N}{N-2} \left(\frac{\Gamma \left(0.5\right)}{ 2^{2/3}\Gamma \left(7/6\right)} \right)^{3} \sum_{i=3}^{N} \mbox({|r_{t,i}|}^{4/3} {|r_{t,i-1}|}^{4/3} {|r_{t,i-2}|}^{4/3}) $$

Usage

rTPVar(rData, alignBy = NULL, alignPeriod = NULL, makeReturns = FALSE)

Arguments

rData

a zoo/xts object containing all returns in period t for one asset.

alignBy

a string, align the tick data to "seconds"|"minutes"|"hours".

alignPeriod

an integer, align the tick data to this many [seconds|minutes|hours].

makeReturns

boolean, should be TRUE when rData contains prices instead of returns. FALSE by default.

Value

numeric

References

Andersen, T. G., D. Dobrev, and E. Schaumburg (2012). Jump-robust volatility estimation using nearest neighbor truncation. Journal of Econometrics, 169(1), 75- 93.

Examples

Run this code
# NOT RUN {
data(sampleTData)
rTPVar(rData = sampleTData$PRICE, alignBy = "minutes", alignPeriod = 5, makeReturns = TRUE)
rTPVar

# }

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