Ultra high frequency volatility estimation with dependent microstructure noise, Journal of Econometrics. Forthcoming ,
How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise, Review of Financial Studies, vol.18, issue.2, pp.351-416, 2005. ,
DOI : 10.1093/rfs/hhi016
Separating microstructure noise from volatility, Journal of Financial Economics, vol.79, issue.3, pp.655-692, 2006. ,
DOI : 10.1016/j.jfineco.2005.01.005
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.4555
Market microstructure noise, integrated variance estimators, and the accuracy of asymptotic approximations, Journal of Econometrics, vol.160, issue.1, 2009. ,
DOI : 10.1016/j.jeconom.2010.03.027
Designing Realised Kernels to Measure the Ex-Post Variation of Equity Prices in the Presence of Noise, SSRN Electronic Journal, issue.6, pp.761481-1536, 2008. ,
DOI : 10.2139/ssrn.620203
The spectral analysis of point processes, Journal of the Royal Statistical Society. Series B, vol.25, pp.264-296, 1963. ,
Modelling financial high frequency data using point processes. Discussion paper, 2006. ,
Theory of Financial Risk and Derivative Pricing, 2003. ,
DOI : 10.1017/CBO9780511753893
URL : https://hal.archives-ouvertes.fr/hal-00121107
Modelling scurity market eents in continuous time: intensity based, multivariate processes. Discussion paper, 2006. ,
An introduction to the theory of point processes, series in statistics, 2005. ,
On the correlation structure of microstructure noise in theory and practice. Working Paper, 2008. ,
Trades and Quotes: A Bivariate Point Process, Journal of Financial Econometrics, vol.1, issue.2, pp.159-188, 2001. ,
DOI : 10.1093/jjfinec/nbg011
Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data, Econometrica, vol.66, issue.5, pp.1127-1162, 1998. ,
DOI : 10.2307/2999632
Comovements in stock prices in the very short run, Journal of the American Statiscal Association, vol.74, pp.291-298, 1979. ,
Diffusions with measurement errors. I. Local Asymptotic Normality, ESAIM: Probability and Statistics, vol.5, pp.225-242, 2001. ,
DOI : 10.1051/ps:2001110
Diffusions with measurement errors. II. Optimal estimators, ESAIM: Probability and Statistics, vol.5, pp.243-260, 2001. ,
DOI : 10.1051/ps:2001111
URL : http://archive.numdam.org/article/PS_2001__5__243_0.pdf
Spectra of some self-exciting and mutually exciting point processes, Biometrika, vol.58, issue.1, pp.83-90, 1971. ,
DOI : 10.1093/biomet/58.1.83
Clustering of order arrivals, price impact and trade path optimisation. Workshop on Financial Modeling with Jump processes, Ecole Polytechnique, 2006. ,
Nonparamtreic estimation of the volatility under microstructure noise, 2010. ,
Microstructure noise in the continuous case: The pre-averaging approach. Stochastic Process, Appl, vol.119, issue.7, pp.2249-2276, 2009. ,
Limit theorems for stochastic processes, 2003. ,
DOI : 10.1007/978-3-662-02514-7
Stock price jumps: news and volume play a minor role, pp.803-1769, 2008. ,
Nonparametric estimation of the volatility function in a high-frequency model corrupted by noise, Electronic Journal of Statistics, vol.4, issue.0, 2009. ,
DOI : 10.1214/10-EJS568
Lower bounds for volatility estimation in microstructure noise models. A Festschrift for Larry Brown, IMS Lecture Notes Series, 2010. ,
Martingale Methods in Financial Modelling, 2004. ,
DOI : 10.1007/978-3-662-22132-7
The asymptotic behaviour of maximum likelihood estimators for stationary point processes, Annals of the Institute of Statistical Mathematics, vol.1, issue.1, pp.243-261, 1978. ,
DOI : 10.1007/BF02480216
On Lewis' simulation method for point processes, IEEE Transactions on Information Theory, vol.27, issue.1, pp.23-31, 1981. ,
DOI : 10.1109/TIT.1981.1056305
Estimation of volatility functionals in the simultaneous presence of microstructure noise and jumps, Bernoulli, vol.15, issue.3, pp.634-658, 2009. ,
DOI : 10.3150/08-BEJ167
Asymptotic equivalence and sufficiency for volatility estimation under microstructure noise, 2010. ,
Adaptive estimation for Hawkes processes; application to genome analysis, The Annals of Statistics, vol.38, issue.5, 2009. ,
DOI : 10.1214/10-AOS806
URL : https://hal.archives-ouvertes.fr/hal-00863958
A New Approach for the Dynamics of Ultra-High-Frequency Data: The Model with Uncertainty Zones, Journal of Financial Econometrics, vol.9, issue.2, 2009. ,
DOI : 10.1093/jjfinec/nbq023
URL : https://hal.archives-ouvertes.fr/hal-00659614
A new microstructure noise index, Quantitative Finance, vol.107, issue.6, 2007. ,
DOI : 10.1198/016214505000000169
URL : https://hal.archives-ouvertes.fr/hal-00659613
Realized volatility and colored market microstructure noise, 2005. ,
Efficient estimation of stochastic volatility using noisy observations: a multi-scale approach, Bernoulli, vol.12, issue.6, pp.1019-1043, 2006. ,
DOI : 10.3150/bj/1165269149
A Tale of Two Time Scales, Journal of the American Statistical Association, vol.100, issue.472, pp.1394-1411, 2005. ,
DOI : 10.1198/016214505000000169