T. G. Andersen and T. Bollerslev, Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts, International Economic Review, vol.39, issue.4, pp.39-885, 1998.
DOI : 10.2307/2527343

T. G. Andersen, T. Bollerslev, F. X. Diebold, and H. Ebens, The distribution of realized stock return volatility, Journal of Financial Economics, vol.61, issue.1, pp.61-104, 2001.
DOI : 10.1016/S0304-405X(01)00055-1

T. G. Andersen, T. Bollerslev, F. X. Diebold, and P. Labys, The distribution of realized exchange rate volatility, J. Amer. Statist. Assoc, pp.96-138, 2001.

G. J. Babu and K. Singh, On one term Edgeworth correction by Efron's bootstrap, Sankhya-Ser. A, vol.46, issue.2, pp.219-232, 1984.

O. E. Barndorff-nielsen, P. R. Hansen, A. Lunde, and N. Shephard, Multivariate Realised Kernels: Consistent Positive Semi-Definite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading
URL : https://hal.archives-ouvertes.fr/hal-00815564

O. E. Barndorff-nielsen and N. Shephard, Econometric analysis of realized volatility and its use in estimating stochastic volatility models, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.4, issue.2, pp.253-280, 2002.
DOI : 10.1111/1467-9868.00336

P. Bertail and S. Clémencon, Edgeworth expansions of suitably normalized sample mean statistics for atomic Markov chains, Probability Theory and Related Fields, vol.24, issue.3, pp.388-414, 2004.
DOI : 10.1007/s00440-004-0360-0
URL : https://hal.archives-ouvertes.fr/hal-00111271

A. Bose, Edgeworth Correction by Bootstrap in Autoregressions, The Annals of Statistics, vol.16, issue.4, pp.1709-1722, 1988.
DOI : 10.1214/aos/1176351063
URL : http://projecteuclid.org/download/pdf_1/euclid.aos/1176351063

F. Comte and E. Renault, Long memory in continuous-time stochastic volatility models, Mathematical Finance, vol.8, issue.4, pp.291-323, 1998.
DOI : 10.1111/1467-9965.00057

D. Dacunha-castelle and D. Florens-zmirou, Estimation of the coefficients of a diffusion from discrete observations, Stochastics, vol.19, issue.4, pp.263-284, 1986.
DOI : 10.1070/RM1975v030n01ABEH001400

T. Epps, Comovements in Stock Prices in the Very Short Run, Journal of the American Statistical Association, vol.74, issue.366, pp.291-298, 1979.

D. Florens-zmirou, On estimating the diffusion coefficient from discrete observations, Journal of Applied Probability, vol.25, issue.04, pp.790-804, 1993.
DOI : 10.1080/17442508608833428

M. Fukasawa, Edgeworth expansion for ergodic diffusions, Probability Theory and Related Fields, vol.129, issue.3, pp.1-20, 2008.
DOI : 10.1007/s00440-007-0097-7

V. Genon-catalot and J. Jacod, On the estimation of the diffusion coefficient for multidimensional diffusion processes, Ann. Inst. Henri Poincaré, vol.29, issue.1, pp.119-151, 1993.

J. E. Griffin and R. C. Oomen, Covariance measurement in the presence of nonsynchronous trading and market microstructure noise, Preprint, 2006.

P. Hall, The bootstrap and Edgeworth expansion, 1992.
DOI : 10.1007/978-1-4612-4384-7

T. Hayashi and S. Kusuoka, Consistent estimation of covariation under nonsynchronicity, Statistical Inference for Stochastic Processes, vol.41, issue.1, pp.93-106, 2008.
DOI : 10.1007/s11203-007-9009-9

T. Hayashi and N. Yoshida, On covariance estimation of non-synchronously observed diffusion processes, Bernoulli, vol.11, issue.2, pp.359-379, 2003.
DOI : 10.3150/bj/1116340299

T. Hayashi and N. Yoshida, Asymptotic normality of a covariance estimator for nonsynchronously observed diffusion processes, Annals of the Institute of Statistical Mathematics, vol.100, issue.472, pp.367-406, 2008.
DOI : 10.1007/s10463-007-0138-0

T. Hayashi and N. Yoshida, Nonsynchronous covariance estimator and limit theorem, 2006.

T. Hayashi and N. Yoshida, Nonsynchronous covariance estimator and limit theorem II, 2008.

T. Hoshikawa, T. Kanatani, K. Nagai, and Y. Nishiyama, Nonparametric Estimation Methods of Integrated Multivariate Volatilities, Econometric Reviews, vol.14, issue.1, 2006.
DOI : 10.1080/07474930701853855

J. Jacod, On processes with conditional independent increments and stable convergence in law, pp.383-401, 2002.
DOI : 10.1007/978-3-540-36107-7_18

J. Jacod and A. Shiryaev, Limit theorems for stochastic processes, 2003.
DOI : 10.1007/978-3-662-02514-7

H. Koul and D. Surgailis, Asymptotic expansion of M -estimators with long-memory errors, The Annals of Statistics, vol.25, issue.2, pp.818-850, 1997.
DOI : 10.1214/aos/1031833675

M. Kessler, Estimation of diffusion processes from discrete observations. Scand, J. Statist, vol.24, pp.211-229, 1997.

A. W. Lo and A. C. Mackinlay, An econometric analysis of nonsynchronous trading, Journal of Econometrics, vol.45, issue.1-2, pp.181-211, 1990.
DOI : 10.1016/0304-4076(90)90098-E

P. Malliavin and M. E. Mancino, Fourier series method for measurement of multivariate volatilities, Finance and Stochastics, vol.6, issue.1, pp.49-61, 2002.
DOI : 10.1007/s780-002-8400-6

P. A. Mykland, Asymptotic Expansions for Martingales, The Annals of Probability, vol.21, issue.2, pp.800-818, 1993.
DOI : 10.1214/aop/1176989268
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.8866

P. A. Mykland, A Gaussian calculus for inference from high frequency data, Annals of Finance, vol.100, issue.2-3
DOI : 10.1007/s10436-010-0152-8

P. A. Mykland and L. Zhang, ANOVA for diffusions and It?? processes, The Annals of Statistics, vol.34, issue.4, pp.1931-1963, 2006.
DOI : 10.1214/009053606000000452
URL : http://arxiv.org/abs/math/0611274

D. Nualart, The Malliavin calculus and related topics, 2006.
DOI : 10.1007/978-1-4757-2437-0

A. Palandri, Consistent realized covariance for asynchronous observations contaminated by market microstructure noise. Manuscript

B. L. Prakasa-rao, Asymptotic theory for non-linear least squares estimator for diffusion processes, Series Statistics, vol.43, issue.2, pp.14-195, 1983.
DOI : 10.1080/02331888308801695

B. L. Prakasa-rao, Statistical inference from sampled data for stochastic processes, Contemp. Math, vol.80, pp.249-284, 1988.
DOI : 10.1090/conm/080/999016

D. Revuz and M. Yor, Continuous martingales and Brownian motion, 1999.

C. Robert and M. Rosenbaum, Ultra high frequency volatility and co-volatility estimation in a microstructure model with uncertainty zones

Y. Sakamoto and N. Yoshida, Asymptotic Expansion Under Degeneracy, JOURNAL OF THE JAPAN STATISTICAL SOCIETY, vol.33, issue.2, pp.145-156, 2003.
DOI : 10.14490/jjss.33.145

J. Shanken, Nonsynchronous Data and the Covariance-Factor Structure of Returns, The Journal of Finance, vol.10, issue.2, pp.221-231, 1987.
DOI : 10.1111/j.1540-6261.1987.tb02565.x

M. Scholes and J. Williams, Estimating betas from non-synchronous data, Journal of Financial Economics, vol.5, p.309328, 1977.
DOI : 10.1016/0304-405x(77)90041-1

T. J. Sweeting, Speeds of Convergence for the Multidimensional Central Limit Theorem, The Annals of Probability, vol.5, issue.1, pp.28-41, 1977.
DOI : 10.1214/aop/1176995888

V. Voev and A. Lunde, Integrated covariance estimation using high-frequency data in the presence of noise. Working Paper, presented at CIREQ Conference on Realized Volatility, 2006.

N. Yoshida, Estimation for diffusion processes from discrete observation, Journal of Multivariate Analysis, vol.41, issue.2, pp.220-242, 1992.
DOI : 10.1016/0047-259X(92)90068-Q

N. Yoshida, Malliavin calculus and asymptotic expansion for martingales. Probab. Theory Related Fields, pp.301-342, 1997.

L. Zhang, Estimating Covariation: Epps Effect, Microstructure Noise, Journal of Econometrics
DOI : 10.1016/j.jeconom.2010.03.012

L. Zhang, P. A. Mykland, and Y. Ait-sahalia, Edgeworth expansions for realized volatility and related estimators, Journal of Econometrics