Bias-Corrected Realized Variance under Dependent Microstructure Noise
The aim of this study is to develop a bias-correction method for realized variance (RV) estimation, where the equilibrium price process is contaminated with market microstructure noise, such as bid-ask bounces and price changes discreteness. Though RV constitutes the simplest estimator of daily integrated variance, it remains strongly biased and many estimators proposed in previous studies require prior knowledge about the dependence structure of microstructure noise to ensure unbiasedness and consistency. The dependence structure is unknown however and it needs to be estimated. A bias-correction method based on statistical inference from the general noise dependence structure is thus proposed. The results of Monte Carlo simulation indicate that the new approach is robust with respect to changes in the dependence of microstructure noise.
|Date of creation:||Nov 2009|
|Contact details of provider:|| Web page: http://www2.econ.osaka-u.ac.jp/library/global/e_HP/e_g_shiryo.html|
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- repec:oxf:wpaper:264 is not listed on IDEAS
When requesting a correction, please mention this item's handle: RePEc:osk:wpaper:0939. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Atsuko SUZUKI)
If references are entirely missing, you can add them using this form.