noise_uznv: Uncertainty Zones Noise Variance

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/metrics.R

Description

Uncertainty Zones Noise Variance (UZNV) based on the concept of uncertainty zones.

Usage

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noise_uznv(estimator)

Arguments

estimator

Vector of (time, price) observations for market asset when external market data is used.

Details

- Convergence speed: m^{1/2} (m - number of observation)

- Accounts for additive noise: yes

- Accounts for finite price jumps: no

- Accounts for time dependence in noise: no

- Accounts for endogenous effects in noise: yes

Value

a numeric vector of the same length as input data.

Author(s)

Kostin Andrey <andrey.kostin@portfolioeffect.com>

References

Robert, C. Y. and Rosenbaum, M. (2012), Volatility and covariation estimation when microstructure noise and trading times are endogenous. Mathematical Finance, 22

See Also

noise_rnv noise_urnv noise_acnv

Examples

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## Not run: 
data(spy.data) 
estimator=estimator_create(priceData=spy.data)
estimator_settings(estimator,
				   inputSamplingInterval = '10s',
				   resultsSamplingInterval = '10s')
util_plot2d(noise_uznv(estimator),title="UZNV")

## End(Not run)

PortfolioEffectEstim documentation built on May 2, 2019, 8:50 a.m.