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highfrequency (version 0.7.0.1)

rQuar: Realized quarticity of highfrequency return series.

Description

Function returns the rQuar, 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 rQuar is given by $$ \mbox{rQuar}_{t}=\frac{N}{3} \sum_{i=1}^{N} \mbox(r_{t,i}^4) $$

Usage

rQuar(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)
rQuar(rData = sampleTData$PRICE, alignBy = "minutes", alignPeriod = 5, makeReturns = TRUE)
# }

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