The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Realized Variance and Market Microstructure Noise
Abstract
We study market microstructure noise in high-frequency data and analyze its implications for the realized variance (RV) under a general specification for the noise. We show that kernel-based estimators can unearth important characteristics of market microstructure noise and that a simple kernel-based estimator dominates the RV for the estimation of integrated variance (IV). An empirical analysis of the Dow Jones Industrial Average stocks reveals that market microstructure noise is time-dependent and correlated with increments in the efficient price. This has important implications for volatility estimation based on high-frequency data. Finally, we apply cointegration techniques to decompose transaction prices and bid–ask quotes into an estimate of the efficient price and noise. This framework enables us to study the dynamic effects on transaction prices and quotes caused by changes in the efficient price.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
STATISTICAL ANALYSIS OF COINTEGRATION VECTORS
Johansen, S. (1988) · Journal of Economic Dynamics and Control · doi:10.1016/0165-1889(88)90041-3 · Cited by 17,027
Newey, W. K., & West, K. D. (1987) · Econometrica · doi:10.2307/1913610 · Cited by 16,936
A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix
Newey, W., & West, K. (1986) · National Bureau of Economic Research · doi:10.3386/t0055 · Cited by 12,278
PE, & Billingsley, P. (1996) · Journal of the American Statistical Association · doi:10.2307/2291440 · Cited by 6,481
Bid, ask and transaction prices in a specialist market with heterogeneously informed traders
Glosten, L. R., & Milgrom, P. R. (1985) · Journal of Financial Economics · doi:10.1016/0304-405x(85)90044-3 · Cited by 6,115
Expected stock returns and volatility
French, K. R., Schwert, G. W., & Stambaugh, R. F. (1987) · Journal of Financial Economics · doi:10.1016/0304-405x(87)90026-2 · Cited by 4,107
Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation
Andrews, D. W. K. (1991) · Econometrica · doi:10.2307/2938229 · Cited by 4,030
Modeling and Forecasting Realized Volatility
Andersen, T. G., Bollerslev, T., Diebold, F. X., & Labys, P. (2003) · Econometrica · doi:10.1111/1468-0262.00418 · Cited by 3,863
Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts
Andersen, T. G., & Bollerslev, T. (1998) · International Economic Review · doi:10.2307/2527343 · Cited by 3,375
On estimating the expected return on the market
Merton, R. C. (1980) · Journal of Financial Economics · doi:10.1016/0304-405x(80)90007-0 · Cited by 2,806
Cited by
Bollerslev, T., Li, S. Z., & Todorov, V. (2016) · Journal of Financial Economics · doi:10.1016/j.jfineco.2016.02.001 · Cited by 180
Metadata
- Authors
- Hansen, P. R., & Lunde, A.
- Venue
- Journal of Business & Economic Statistics
- Publisher
- Informa UK Limited
- Published
- 2006-04
- Volume
- 24
- Issue
- 2
- Pages
- 127-161
- ISSN
- 0735-0015 (ISSN-L)
- 1537-2707
- OpenAlex
- W3122281927
- Cited by
- 1,160
- References
- 48
- FWCI
- 117.51
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Realized Variance and Market Microstructure Noise. https://app.cochat.ai/papers/10.1198/073500106000000071
- The paper
- Hansen, P. R., & Lunde, A. (2006). Realized Variance and Market Microstructure Noise. Journal of Business & Economic Statistics. https://doi.org/10.1198/073500106000000071
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
