View source: R/realizedMeasures.R
rHYCov | R Documentation |
Calculates the Hayashi-Yoshida Covariance estimator
rHYCov( rData, cor = FALSE, period = 1, alignBy = "seconds", alignPeriod = 1, makeReturns = FALSE, makePsd = TRUE, ... )
rData |
an |
cor |
boolean, in case it is |
period |
Sampling period |
alignBy |
character, indicating the time scale in which |
alignPeriod |
positive numeric, indicating the number of periods to aggregate over. For example, to aggregate
based on a 5-minute frequency, set |
makeReturns |
boolean, should be |
makePsd |
boolean, in case it is |
... |
used internally. Do not set. |
Scott Payseur and Emil Sjoerup.
Hayashi, T. and Yoshida, N. (2005). On covariance estimation of non-synchronously observed diffusion processes. Bernoulli, 11, 359-379.
ICov
for a list of implemented estimators of the integrated covariance.
library("xts") hy <- rHYCov(rData = as.xts(sampleOneMinuteData)["2001-08-05"], period = 5, alignBy = "minutes", alignPeriod = 5, makeReturns = TRUE)
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