<--- Back to Details
First PageDocument Content
Estimation theory / Statistical theory / Statistical inference / Econometrics / Normal distribution / Estimator / Variance / Central limit theorem / Efficiency / Volatility / Consistent estimator / Heteroscedasticity
Date: 2016-07-08 00:04:03
Estimation theory
Statistical theory
Statistical inference
Econometrics
Normal distribution
Estimator
Variance
Central limit theorem
Efficiency
Volatility
Consistent estimator
Heteroscedasticity

Inference from high-frequency data: A subsampling approach∗ K. Christensen† M. Podolskij‡,†

Add to Reading List

Source URL: www.cb.cityu.edu.hk

Download Document from Source Website

File Size: 807,29 KB

Share Document on Facebook

Similar Documents

Perspectival Variance and Worldly Fragmentation Martin A. Lipman Objects often manifest themselves in incompatible ways across perspectives that are epistemically on a par. The standard response to such cases is to deny

DocID: 1vrXP - View Document

Microsoft WordAPP Variance

DocID: 1vrre - View Document

IETF Trust Statement of Activity For the Month Ending March 31, 2017 March YTD Actual YTD Budget YTD Variance Annual Budget Notes

DocID: 1voPG - View Document

LAKE SHASTINA PROPERTY OWNERS ASSOCIATIONEverhart Drive Weed CaVoiceFaxApplication # ____________ APPLICATION FOR VARIANCE DATE __________________

DocID: 1vo6V - View Document

Portfolios & Systematic Risk Expected Return and Variance of a Portfolio E(R)=ΣwiE(ri) V(R)=ΣΣwiwjCov(ri,rj) The Variance Contributed by Stock i ΣwjCov(ri,rj) =Cov(ri,Σwjr)

DocID: 1vnjW - View Document